[{"id": 2, "name": "Consulting activities related to simulation-based virtual testing services", "unique_identifier": "ccb4d44f-65a4-426c-bf8d-dc85d613025e", "description": "Consulting activities to enable usage by customers of a virtual testing and experimentation facility for robotic simulation, with a view to achieve one of more of the following outcomes: in silico training and optimization (e.g., reinforcement learning, genetic algorithms, etc.), performance evaluation of AI-based controllers for robotics in virtual testing environment, or definition and implementation of testing & benchmarking scenarios on specific simulators (e.g., Unity, PyBullet, MuJoCo, etc.). \n\nKeywords: Robotics; Simulation of modular heterogeneous systems; In silico functional evaluation of algorithms and AI models for robotics; Optimization of algorithms and AI models for robotics", "description_html": "<p>Consulting activities to enable usage by customers of a virtual testing and experimentation facility for robotic simulation, with a view to achieve one of more of the following outcomes: in silico training and optimization (e.g., reinforcement learning, genetic algorithms, etc.), performance evaluation of AI-based controllers for robotics in virtual testing environment, or definition and implementation of testing &amp; benchmarking scenarios on specific simulators (e.g., Unity, PyBullet, MuJoCo, etc.). </p>\n<p>Keywords: Robotics; Simulation of modular heterogeneous systems; In silico functional evaluation of algorithms and AI models for robotics; Optimization of algorithms and AI models for robotics</p>", "service_provider": "Technische Universitaet Muenchen (TUM)", "service_provider_id": 499, "service_provider_logo": "", "service_provider_institution": "Technische Universitaet Muenchen (TUM)", "service_provider_institution_id": 499, "service_provider_hierarchy": [{"id": 499, "name": "Technische Universitaet Muenchen (TUM)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 1, "name": "Consulting"}, {"id": 50, "name": "Simulated Clinical Rooms"}, {"id": 8, "name": "Strategic & Business Enablement"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 16, "name": "Clinical Testbeds"}, {"id": 3, "name": "Software & AI"}, {"id": 4, "name": "Hardware & Robotics"}, {"id": 44, "name": "In-Silico Simulation & Digital Twins"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}, {"code": "software_ai", "name": "Software & AI"}, {"code": "hardware_robotics", "name": "Hardware & Robotics"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "120 EUR", "reduced_price": "From 0 to 96 Euros per hour for personnel cost", "popularity": 3, "service_standard_legacy": "None", "certification_support_legacy": "None", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.simulated_environment", "tier2.robotics"]}, {"id": 3, "name": "Testing and validation of AI solution", "unique_identifier": "0f79d088-0a6e-4318-b0d9-43a606ed1ffd", "description": "Methods description:\nThe service of testing and validation of AI solutions with Deep Learning paradigms. The service can include suggestions of applications and highlight strengths, weaknesses, threats and/or opportunities. The service is customized according to the SME's needs. \nPre-requisites for the service are the analysis of data availability, data-readiness level and customer needs. \n\nMethod reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.\n\nKeywords: Trustworthy AI, Federated Learning, Data Science, AI, Deep Learning, Natural language processing, Computer Vision, Machine learning.", "description_html": "<p>Methods description:\nThe service of testing and validation of AI solutions with Deep Learning paradigms. The service can include suggestions of applications and highlight strengths, weaknesses, threats and/or opportunities. The service is customized according to the SME's needs. \nPre-requisites for the service are the analysis of data availability, data-readiness level and customer needs. </p>\n<p>Method reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.</p>\n<p>Keywords: Trustworthy AI, Federated Learning, Data Science, AI, Deep Learning, Natural language processing, Computer Vision, Machine learning.</p>", "service_provider": "RISE Research Institutes Of Sweden", "service_provider_id": 500, "service_provider_logo": "", "service_provider_institution": "RISE Research Institutes Of Sweden", "service_provider_institution_id": 500, "service_provider_hierarchy": [{"id": 500, "name": "RISE Research Institutes Of Sweden"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 41, "name": "Explainability & Fairness Testing"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "130-190 EUR", "reduced_price": "90-130 EUR", "popularity": 11, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.verification_validation_testing"]}, {"id": 4, "name": "AI improvement and development", "unique_identifier": "be49d3b7-436b-4f18-8f77-eed0c02ca656", "description": "Method description:\nDevelop and improve AI algorithms utilizing Deep Learning paradigms within Computer Vision, Data Analysis and Natural Language Processing.\n\nThe service can include suggestions of applications and highlight strengths, weaknesses, or software development. The service is customized according to the SME's needs.\n\nPre-requisites for the service are the analysis of data availability, data-readiness level and customer needs. \n\nMethod reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.\n\nKeywords: Trustworthy AI, Federated learning, Data Science, AI, Deep Learning, Natural language processing, Computer Vision, Machine Learning", "description_html": "<p>Method description:\nDevelop and improve AI algorithms utilizing Deep Learning paradigms within Computer Vision, Data Analysis and Natural Language Processing.</p>\n<p>The service can include suggestions of applications and highlight strengths, weaknesses, or software development. The service is customized according to the SME's needs.</p>\n<p>Pre-requisites for the service are the analysis of data availability, data-readiness level and customer needs. </p>\n<p>Method reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.</p>\n<p>Keywords: Trustworthy AI, Federated learning, Data Science, AI, Deep Learning, Natural language processing, Computer Vision, Machine Learning</p>", "service_provider": "RISE Research Institutes Of Sweden", "service_provider_id": 500, "service_provider_logo": "", "service_provider_institution": "RISE Research Institutes Of Sweden", "service_provider_institution_id": 500, "service_provider_hierarchy": [{"id": 500, "name": "RISE Research Institutes Of Sweden"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "130-190 EUR", "reduced_price": "90-130 EUR", "popularity": 12, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 5, "name": "Technical support for AI post-service before AI improvement and development", "unique_identifier": "e9863f97-862c-4835-8283-4b09b74b04f4", "description": "Method description:\nAdd-on support to the service \"AI improvement and development\" available at RISE. The service includes support for training, deployment and installation. The service is customized according to the SME's needs.\n\nMethod reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.\n\nKeywords: Trustworthy AI, Federated learning, Data Science, AI, Deep Learning, Natural Language Processing, Computer Vision, Machine Learning.", "description_html": "<p>Method description:\nAdd-on support to the service AI improvement and development available at RISE. The service includes support for training, deployment and installation. The service is customized according to the SME's needs.</p>\n<p>Method reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.</p>\n<p>Keywords: Trustworthy AI, Federated learning, Data Science, AI, Deep Learning, Natural Language Processing, Computer Vision, Machine Learning.</p>", "service_provider": "RISE Research Institutes Of Sweden", "service_provider_id": 500, "service_provider_logo": "", "service_provider_institution": "RISE Research Institutes Of Sweden", "service_provider_institution_id": 500, "service_provider_hierarchy": [{"id": 500, "name": "RISE Research Institutes Of Sweden"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 4, "name": "AI literacy", "code": "art_4", "number": "Art. 4"}, {"id": 26, "name": "Obligations of deployers of high-risk AI systems", "code": "art_26", "number": "Art. 26"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 1, "name": "Consulting"}, {"id": 28, "name": "Training & Workshops"}, {"id": 9, "name": "Training & Education"}, {"id": 3, "name": "Software & AI"}, {"id": 43, "name": "Software Development & Cybersecurity"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}, {"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "130-190 EUR", "reduced_price": "90-130 EUR", "popularity": 3, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 337, "name": "C-Training & Education", "domain": "Training"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 6, "name": "Data Mining Assisted by Deep Learning", "unique_identifier": "ced3e0c7-56e7-4efb-932a-f3d70ca44a0e", "description": "Method description:\nAnalysis of big datasets. Not exclusively, however this service can be performed as a data preprocessing step to \"AI improvement and development\" service available from RISE. The service is customized according to the SME's needs. Add-on service to other services.\n\nMethod reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.\n\nKeywords: Trustworthy AI, Federated learning, Data Science, AI, Deep Learning, Natural language processing, Computer Vision, Machine learning.", "description_html": "<p>Method description:\nAnalysis of big datasets. Not exclusively, however this service can be performed as a data preprocessing step to AI improvement and development service available from RISE. The service is customized according to the SME's needs. Add-on service to other services.</p>\n<p>Method reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.</p>\n<p>Keywords: Trustworthy AI, Federated learning, Data Science, AI, Deep Learning, Natural language processing, Computer Vision, Machine learning.</p>", "service_provider": "RISE Research Institutes Of Sweden", "service_provider_id": 500, "service_provider_logo": "", "service_provider_institution": "RISE Research Institutes Of Sweden", "service_provider_institution_id": 500, "service_provider_hierarchy": [{"id": 500, "name": "RISE Research Institutes Of Sweden"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "130-190 EUR", "reduced_price": "90-130 EUR", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}, {"id": 338, "name": "V-Data Processing (curation, preprocessing & standardization, mining, visualization, anonymization, FAIR, etc.)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.existing_data"]}, {"id": 7, "name": "Data Integration", "unique_identifier": "c9975899-f443-45cd-9a18-ad585da08030", "description": "Method description:\nIntegration of data from different datasets. Not exclusively, however this service can be performed as a data preprocessing step to \"AI improvement and development\" service available from RISE. The service is customized according to the SME's needs. Add-on service to other services.\n\nMethod reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.\n\nKeywords: Trustworthy AI, Federated learning, Data Science, AI, Deep Learning, Natural language processing, Computer Vision, Machine Learning.", "description_html": "<p>Method description:\nIntegration of data from different datasets. Not exclusively, however this service can be performed as a data preprocessing step to AI improvement and development service available from RISE. The service is customized according to the SME's needs. Add-on service to other services.</p>\n<p>Method reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.</p>\n<p>Keywords: Trustworthy AI, Federated learning, Data Science, AI, Deep Learning, Natural language processing, Computer Vision, Machine Learning.</p>", "service_provider": "RISE Research Institutes Of Sweden", "service_provider_id": 500, "service_provider_logo": "", "service_provider_institution": "RISE Research Institutes Of Sweden", "service_provider_institution_id": 500, "service_provider_hierarchy": [{"id": 500, "name": "RISE Research Institutes Of Sweden"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 38, "name": "FAIR Data & Standardization"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "130-190 EUR", "reduced_price": "90-130 EUR", "popularity": 2, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 338, "name": "V-Data Processing (curation, preprocessing & standardization, mining, visualization, anonymization, FAIR, etc.)", "domain": "Data"}, {"id": 339, "name": "C-Data (FAIRness, preprocessing, standardization, best practices, etc.)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.existing_data"]}, {"id": 8, "name": "AI readiness preprocessing", "unique_identifier": "a805c78d-1ed2-4fd3-bec1-d5939fd506ee", "description": "Method description:\nPreprocessing Data to be AI-ready. This service can be a preprocessing step to perform other AI services from RISE, for example RISE's service \"AI improvement and development\". The service is customized according to the SME's needs.\n\nMethod reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.\n\nKeywords: Trustworthy AI, Federated learning, Data Science, AI, Deep Learning, Natural language processing, Computer Vision, Machine Learning.", "description_html": "<p>Method description:\nPreprocessing Data to be AI-ready. This service can be a preprocessing step to perform other AI services from RISE, for example RISE's service AI improvement and development. The service is customized according to the SME's needs.</p>\n<p>Method reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.</p>\n<p>Keywords: Trustworthy AI, Federated learning, Data Science, AI, Deep Learning, Natural language processing, Computer Vision, Machine Learning.</p>", "service_provider": "RISE Research Institutes Of Sweden", "service_provider_id": 500, "service_provider_logo": "", "service_provider_institution": "RISE Research Institutes Of Sweden", "service_provider_institution_id": 500, "service_provider_hierarchy": [{"id": 500, "name": "RISE Research Institutes Of Sweden"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 37, "name": "Data Quality Assessment"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "130-190 EUR", "reduced_price": "90-130 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 338, "name": "V-Data Processing (curation, preprocessing & standardization, mining, visualization, anonymization, FAIR, etc.)", "domain": "Data"}, {"id": 339, "name": "C-Data (FAIRness, preprocessing, standardization, best practices, etc.)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.existing_data"]}, {"id": 9, "name": "AI readiness level and Machine learning feasibility investigation", "unique_identifier": "b8b34484-6984-4570-97bc-82a861ceed9e", "description": "Method description:\nInvestigate Data to be usable in an AI context. The service is customized according to the SME's needs.\n\nMethod reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.\n\nKeywords: Trustworthy AI, Federated learning, Data Science, AI, Deep Learning, Natural language processing, Computer Vision, Machine learning.\n", "description_html": "<p>Method description:\nInvestigate Data to be usable in an AI context. The service is customized according to the SME's needs.</p>\n<p>Method reference:\nTo be refined depending on the type of task, and in dialog with the customer. 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So ETSI tests has to be passed with the full device. Arguing modem certified to justify device certification is not fully relevant. 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Upper Limb", "description_html": "<p>Comparative study of competing products in the market of rehabilitation robotics.\nSupport testing protocol design with healthy, elderly and post-stroke subjects and comparison with benchmarking. </p>\n<p>For Upper Limb robotics see paper DOI 10.1186/s12984-022-01082-8. </p>\n<p>Keywords: Comparative study, Market Analysis, Healthcare Robotics, Upper Limb</p>", "service_provider": "Politecnico Di Milano (POLIMI)", "service_provider_id": 508, "service_provider_logo": "", "service_provider_institution": "Politecnico Di Milano (POLIMI)", "service_provider_institution_id": 508, "service_provider_hierarchy": [{"id": 508, "name": "Politecnico Di Milano (POLIMI)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [{"id": 33, "name": "Rehabilitation Medicine", "code": "REHB"}], "ontology_categories": [{"id": 25, "name": "Business Model & Market Readiness"}, {"id": 1, "name": "Consulting"}, {"id": 8, "name": "Strategic & Business Enablement"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Italy", "service_provider_country_flag": "\ud83c\uddee\ud83c\uddf9", "service_provider_country_code": "IT", "billing": "per hour", "full_price": "67-160 EUR", "reduced_price": "49-117 EUR", "popularity": 1, "service_standard_legacy": "NA", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 346, "name": "V-Software (development, maintenance, deployment, administration, etc.)", "domain": "Software"}, {"id": 350, "name": "P-Hardware Design, Development & Manufacturing", "domain": "Hardware"}, {"id": 352, "name": "C-Scientific & Medical Communication", "domain": "Scientific"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.robotics"]}, {"id": 63, "name": "Estimating Costs of Prototype and Volume Manufacturing", "unique_identifier": "c8b2f681-d15a-4499-9054-f8e273b15e54", "description": "Support in the functional evaluation of Human-Robot Interface (motion capture, EMG, EEG, etc)\nCosts estimation for both prototype development and volume manufacturing to support SMEs/start-up plan and budgeting throughout the product development lifecycle.\n\nKeywords: Cost estimation, Prototype development, Volume Manifacturing, Budget Planning, Manufacturing Costs, Product Development Lifecycle, Cost Optimization; ", "description_html": "<p>Support in the functional evaluation of Human-Robot Interface (motion capture, EMG, EEG, etc)\nCosts estimation for both prototype development and volume manufacturing to support SMEs/start-up plan and budgeting throughout the product development lifecycle.</p>\n<p>Keywords: Cost estimation, Prototype development, Volume Manifacturing, Budget Planning, Manufacturing Costs, Product Development Lifecycle, Cost Optimization; </p>", "service_provider": "Politecnico Di Milano (POLIMI)", "service_provider_id": 508, "service_provider_logo": "", "service_provider_institution": "Politecnico Di Milano (POLIMI)", "service_provider_institution_id": 508, "service_provider_hierarchy": [{"id": 508, "name": "Politecnico Di Milano (POLIMI)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 25, "name": "Business Model & Market Readiness"}, {"id": 1, "name": "Consulting"}, {"id": 8, "name": "Strategic & Business Enablement"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Italy", "service_provider_country_flag": "\ud83c\uddee\ud83c\uddf9", "service_provider_country_code": "IT", "billing": "per hour", "full_price": "67-160 EUR", "reduced_price": "49-117 EUR", "popularity": 1, "service_standard_legacy": "NA", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 352, "name": "C-Scientific & Medical Communication", "domain": "Scientific"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.robotics"]}, {"id": 64, "name": "Technological validation in lab: Verification and validation of features and functionalities", "unique_identifier": "553b93d4-ccb7-4255-8529-b6d80677c212", "description": "Testing of technical specifications and analysis of the outcome in a relevant environment (testing phase before real environment testing). \nExample: when applicable, tests with healthy users are performed to verify technical functions and usability, before moving to tests with the target population (patients).\n\nKeywords: Validation, Usability", "description_html": "<p>Testing of technical specifications and analysis of the outcome in a relevant environment (testing phase before real environment testing). \nExample: when applicable, tests with healthy users are performed to verify technical functions and usability, before moving to tests with the target population (patients).</p>\n<p>Keywords: Validation, Usability</p>", "service_provider": "Politecnico Di Milano (POLIMI)", "service_provider_id": 508, "service_provider_logo": "", "service_provider_institution": "Politecnico Di Milano (POLIMI)", "service_provider_institution_id": 508, "service_provider_hierarchy": [{"id": 508, "name": "Politecnico Di Milano (POLIMI)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 50, "name": "Simulated Clinical Rooms"}, {"id": 62, "name": "Usability Testing (Formative/Summative)"}, {"id": 16, "name": "Clinical Testbeds"}, {"id": 20, "name": "Clinical Usability & Validation"}, {"id": 4, "name": "Hardware & Robotics"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "hardware_robotics", "name": "Hardware & Robotics"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Italy", "service_provider_country_flag": "\ud83c\uddee\ud83c\uddf9", "service_provider_country_code": "IT", "billing": "per hour", "full_price": "67-160 EUR", "reduced_price": "49-117 EUR", "popularity": 0, "service_standard_legacy": "CONSORT for Randomized Controlled Trials, meta anlysis, Cochrane Reviews", "certification_support_legacy": "", "service_standards": [{"id": 8, "name": "Cochrane Reviews", "code": false}, {"id": 7, "name": "CONSORT for Randomized Controlled Trials, meta anlysis", "code": false}], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 348, "name": "P-Testing Conformity & Compliance Hardware (CE, MDR, usability, etc.)", "domain": "Testing"}, {"id": 352, "name": "C-Scientific & Medical Communication", "domain": "Scientific"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.verification_validation_testing"]}, {"id": 66, "name": "Usability consulting for medical devices", "unique_identifier": "192ee915-f105-4353-a5ea-3e77a26744e6", "description": "Support iterative  process of usability of the medical device prototype for CE mark. \nIncludes the definition/revision of inputs for the usability specification according to the available documentation:\n- the intended use of the medical device\n-  the risk analysis linked to usability\n- use scenarios\nDepending the SME needs, this service may be:\n- an expert evaluation by an ergonomist or;\n- support on protocol writing for formative evaluation.\n\nThe proposed method is based on a user-centered procedure, as described in ISO 9241-210 on the ergonomics of human-system interaction, and complies with ISO 62366-1/ ISO 62366-2 on the usability of medical devices.\n \nKeywords: Usability test, Formative evaluation, Summative evaluation", "description_html": "<p>Support iterative  process of usability of the medical device prototype for CE mark. \nIncludes the definition/revision of inputs for the usability specification according to the available documentation:\n- the intended use of the medical device\n-  the risk analysis linked to usability\n- use scenarios\nDepending the SME needs, this service may be:\n- an expert evaluation by an ergonomist or;\n- support on protocol writing for formative evaluation.</p>\n<p>The proposed method is based on a user-centered procedure, as described in ISO 9241-210 on the ergonomics of human-system interaction, and complies with ISO 62366-1/ ISO 62366-2 on the usability of medical devices.</p>\n<p>Keywords: Usability test, Formative evaluation, Summative evaluation</p>", "service_provider": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_id": 515, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_institution_id": 515, "service_provider_hierarchy": [{"id": 515, "name": "Centre Hospitalier Universitaire De Grenoble (CHUGA)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 14, "name": "Human oversight", "code": "art_14", "number": "Art. 14"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 62, "name": "Usability Testing (Formative/Summative)"}, {"id": 20, "name": "Clinical Usability & Validation"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "80-150 EUR", "reduced_price": "35-135 EUR", "popularity": 1, "service_standard_legacy": "IEC 62366-1", "certification_support_legacy": "", "service_standards": [{"id": 9, "name": "IEC 62366-1", "code": false}], "certification_ids": [], "offering_ids": [{"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 348, "name": "P-Testing Conformity & Compliance Hardware (CE, MDR, usability, etc.)", "domain": "Testing"}, {"id": 353, "name": "V-Testing Conformity & Compliance Software (security, privacy, usability, accountability, fairness, reliability, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.ce_marking"]}, {"id": 67, "name": "Regulatory Consulting: Identification of Pre-clinical Testing Requirements and Accredited Labs", "unique_identifier": "487f9c1a-af9e-4631-b182-093726544927", "description": "IPN provides expert guidance in identifying the applicable pre-clinical tests required for medical devices, ensuring alignment with regulatory standards and facilitating a seamless pathway to market. The focus is on determining the specific tests based on the unique characteristics of the device, such as whether it is sterile, active, implantable, or software-based. \r\nExamples of pre-clinical tests include electrical safety and electromagnetic compatibility (EMC) evaluations, biocompatibility assessments (e.g., cytotoxicity, sensitization, and irritation testing), cybersecurity analysis, sterilization and cleaning validation, microbiological tests (e.g., bioburden and sterility), and stability or shelf-life studies. Additionally, IPN\u2019s team assist in identifying accredited laboratories with proven expertise to conduct these tests, guaranteeing reliable and regulatory-compliant results. \r\n", "description_html": "<p>IPN provides expert guidance in identifying the applicable pre-clinical tests required for medical devices, ensuring alignment with regulatory standards and facilitating a seamless pathway to market. The focus is on determining the specific tests based on the unique characteristics of the device, such as whether it is sterile, active, implantable, or software-based. \nExamples of pre-clinical tests include electrical safety and electromagnetic compatibility (EMC) evaluations, biocompatibility assessments (e.g., cytotoxicity, sensitization, and irritation testing), cybersecurity analysis, sterilization and cleaning validation, microbiological tests (e.g., bioburden and sterility), and stability or shelf-life studies. Additionally, IPN\u2019s team assist in identifying accredited laboratories with proven expertise to conduct these tests, guaranteeing reliable and regulatory-compliant results. </p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 52, "name": "Regulatory Roadmap & Gap Analysis"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.regulatory_roadmap", "tier2.ce_marking"]}, {"id": 68, "name": "Usability Testing Implementation (IEC 62366-1:2015)", "unique_identifier": "d1793fe3-0b46-4535-af53-ca702136c5fe", "description": "User interface evaluation is conducted with the intent to explore user interface design strengths, weaknesses, and unanticipated use errors. The usability testing focuses on the user experience with the device, including the device's graphical user interface (GUI). While a formative usability test goal is to identify and correct any usability problems before the device design is finalized, a summative usability testing intends to generate evidence that a final product that is not only functional but also intuitive and enjoyable to use, leading to increased user satisfaction and loyalty. IPN is able to provide support in a two-step approach:\r\n\u2022 Study Documents & Submission Process, supporting the preparation of the mandatory documents and the submission of study to the Regulatory Authorities (ethics committees);\r\n\u2022 Study Conduction & Data Management, supporting the Site Initiation activities, recruitment process, data collection/analysis according to good clinical practices and report", "description_html": "<p>User interface evaluation is conducted with the intent to explore user interface design strengths, weaknesses, and unanticipated use errors. The usability testing focuses on the user experience with the device, including the device's graphical user interface (GUI). While a formative usability test goal is to identify and correct any usability problems before the device design is finalized, a summative usability testing intends to generate evidence that a final product that is not only functional but also intuitive and enjoyable to use, leading to increased user satisfaction and loyalty. IPN is able to provide support in a two-step approach:\n\u2022 Study Documents &amp; Submission Process, supporting the preparation of the mandatory documents and the submission of study to the Regulatory Authorities (ethics committees);\n\u2022 Study Conduction &amp; Data Management, supporting the Site Initiation activities, recruitment process, data collection/analysis according to good clinical practices and report</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "physical", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 14, "name": "Human oversight", "code": "art_14", "number": "Art. 14"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 62, "name": "Usability Testing (Formative/Summative)"}, {"id": 20, "name": "Clinical Usability & Validation"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [{"id": 4, "name": "ISO/IEC 62366", "code": false}, {"id": 5, "name": "MDR EU 2017/745", "code": false}], "certification_ids": [{"id": 8, "name": "CE Marking", "code": false}], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 348, "name": "P-Testing Conformity & Compliance Hardware (CE, MDR, usability, etc.)", "domain": "Testing"}, {"id": 355, "name": "P-Testing Clinical (investigation, trial, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.ce_marking"]}, {"id": 70, "name": "Key-opinion leader (KOL) validation", "unique_identifier": "d7bc33aa-1dfc-4e66-916c-0d72ab102213", "description": "Along the innovative product/solution development pathway relevant go-no-go decisions should be taken into account. To ensure the suitability of the design and/or the product/solution market receptiveness, critical milestones should be checked in early phases to anticipate the health technology optimal launch. \nBy granting the product/solution a KOL validation, by clinical experts through a systematic assessment approach, in a timely manner, will reduce the risk of failing the next steps of the way.\nIPN, in collaboration with Coimbra University Hospital \u2013 Unidade de Sa\u00fade Local de Coimbra (ULS-C) and the synergies settled through the TEF-Health partnership, counts on the expertise of high-tier health clinical professionals to provide new technologies assessment in a 3-step way,\n1. Preliminary evaluation: the KOL self-assesses the product/solution provided information, to evaluate its medical purpose assumptions? If it answers an unmet medical need? competitor(s) in the market? Strengths/weaknesses of the technology? etc.\n2. Short meeting: a 1:1 one-hour meeting, where the KOL is briefed with a 10-15 mins. demonstration of the product/solution, followed by a discussion of the concerning queries.\n3. Expert assessment report: a report is issued addressing insight on the raised hot topics, including suitability strengths, weaknesses, opportunities and threats analysis (SWOT) analysis and useful recommendations/ suggestions to be considered.", "description_html": "<p>Along the innovative product/solution development pathway relevant go-no-go decisions should be taken into account. To ensure the suitability of the design and/or the product/solution market receptiveness, critical milestones should be checked in early phases to anticipate the health technology optimal launch. \nBy granting the product/solution a KOL validation, by clinical experts through a systematic assessment approach, in a timely manner, will reduce the risk of failing the next steps of the way.\nIPN, in collaboration with Coimbra University Hospital \u2013 Unidade de Sa\u00fade Local de Coimbra (ULS-C) and the synergies settled through the TEF-Health partnership, counts on the expertise of high-tier health clinical professionals to provide new technologies assessment in a 3-step way,\n1. Preliminary evaluation: the KOL self-assesses the product/solution provided information, to evaluate its medical purpose assumptions? If it answers an unmet medical need? competitor(s) in the market? Strengths/weaknesses of the technology? etc.\n2. Short meeting: a 1:1 one-hour meeting, where the KOL is briefed with a 10-15 mins. demonstration of the product/solution, followed by a discussion of the concerning queries.\n3. Expert assessment report: a report is issued addressing insight on the raised hot topics, including suitability strengths, weaknesses, opportunities and threats analysis (SWOT) analysis and useful recommendations/ suggestions to be considered.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 1, "name": "Consulting"}, {"id": 31, "name": "Expert Medical Opinion"}, {"id": 10, "name": "Scientific & Medical Communication"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 4, "service_standard_legacy": "MDR 2017/745; IVDR 2017/746", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise"]}, {"id": 71, "name": "Coordination of Clinical Partnership", "unique_identifier": "1247a724-290d-4a90-b11b-5e62bba504c0", "description": "Through the established network with hospitals across Europe. In coordination with each hospital, IPN has Clinical Investigation Coordinators fully dedicated to managing clinical research. In this service, IPN identifies the requirements for testing and experimentation of the solution, presents the solution and the testing needs to partner hospitals that meet the requirements, and defines Clinical Research Teams and the Principal Investigator for future studies.", "description_html": "<p>Through the established network with hospitals across Europe. In coordination with each hospital, IPN has Clinical Investigation Coordinators fully dedicated to managing clinical research. In this service, IPN identifies the requirements for testing and experimentation of the solution, presents the solution and the testing needs to partner hospitals that meet the requirements, and defines Clinical Research Teams and the Principal Investigator for future studies.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}, {"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 60, "name": "Testing of high-risk AI systems in real world conditions outside AI regulatory sandboxes", "code": "art_60", "number": "Art. 60"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 61, "name": "Clinical Research Unit Services"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 1, "service_standard_legacy": "ISO 14155:2020; MDR  EU 2017/745", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [{"id": 12, "name": "ISO 14155", "code": false}, {"id": 5, "name": "MDR EU 2017/745", "code": false}], "certification_ids": [{"id": 8, "name": "CE Marking", "code": false}], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 357, "name": "C-Clinical Investigation Support (clinical studies & trials, coordination, design, feasibility, documentation, compliance, operations support, etc.)", "domain": "Clinical"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.integration_hcs"]}, {"id": 72, "name": "Regulatory Consulting: Regulatory Roadmap/ Technical Documentation Gap Analysis", "unique_identifier": "70c5529a-da16-40ae-ac49-780d31e3a803", "description": "IPN performs gap analysis, in order to assist the success of MD or IVD development projects, with the ultimate goal of making the devices available in the intended markets. This analysis identifies data gaps in projects, procedures, and product regulatory roadmaps, considering the regulatory requirements.\r\nThe regulatory/market assessment gap analysis consists, among others, of the following steps: map out current policies and procedures; outline the regulatory and normative framework and determine which requirements the organization and/or project needs to meet; identify and analyze the gaps; establish concrete recommendations on how to resolve the gaps.", "description_html": "<p>IPN performs gap analysis, in order to assist the success of MD or IVD development projects, with the ultimate goal of making the devices available in the intended markets. This analysis identifies data gaps in projects, procedures, and product regulatory roadmaps, considering the regulatory requirements.\nThe regulatory/market assessment gap analysis consists, among others, of the following steps: map out current policies and procedures; outline the regulatory and normative framework and determine which requirements the organization and/or project needs to meet; identify and analyze the gaps; establish concrete recommendations on how to resolve the gaps.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 52, "name": "Regulatory Roadmap & Gap Analysis"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 4, "service_standard_legacy": "", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.regulatory_roadmap"]}, {"id": 73, "name": "Regulatory Consulting: Risk Evaluation Gap Analysis", "unique_identifier": "902fd7da-5549-4e09-ab98-f85b7c9cf0b5", "description": "Risk evaluation gap analyses are designed to assess the potential risks and vulnerabilities associated with medical devices or IVDs. The IPN team assists companies by conducting comprehensive gap analyses of current risk identification and evaluation processes for their devices, identifying any shortcomings in the existing risk management framework. Leveraging the principles outlined in ISO 14971, the team evaluates the adequacy of risk management practices and ensures compliance with international standards. Based on this initial evaluation, the team can also support the development of an action plan to mitigate or eliminate identified risks effectively.\r\n", "description_html": "<p>Risk evaluation gap analyses are designed to assess the potential risks and vulnerabilities associated with medical devices or IVDs. The IPN team assists companies by conducting comprehensive gap analyses of current risk identification and evaluation processes for their devices, identifying any shortcomings in the existing risk management framework. Leveraging the principles outlined in ISO 14971, the team evaluates the adequacy of risk management practices and ensures compliance with international standards. Based on this initial evaluation, the team can also support the development of an action plan to mitigate or eliminate identified risks effectively.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 52, "name": "Regulatory Roadmap & Gap Analysis"}, {"id": 53, "name": "Quality Management System"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.regulatory_roadmap"]}, {"id": 74, "name": "Regulatory Consulting: Specialized Professional Training", "unique_identifier": "411f9a67-1397-4e08-92a9-4fb6d2ea26dc", "description": "IPN includes qualified trainers who provide specialized training in the area of medical device regulation, with our greatest experience being in Regulation (EU) 2017/745, Regulation (EU) 2017/746, Risk Management (according to ISO 14971), Quality Management Systems (according to ISO 13485) and Performance and Clinical Evaluation. All trainings are accredited and can be in a face to face or online mode, divided into asynchronous sessions and synchronous sessions. In addition to specialized training and mentoring services, we also offer free webinars on the topics mentioned above.\r\n", "description_html": "<p>IPN includes qualified trainers who provide specialized training in the area of medical device regulation, with our greatest experience being in Regulation (EU) 2017/745, Regulation (EU) 2017/746, Risk Management (according to ISO 14971), Quality Management Systems (according to ISO 13485) and Performance and Clinical Evaluation. All trainings are accredited and can be in a face to face or online mode, divided into asynchronous sessions and synchronous sessions. In addition to specialized training and mentoring services, we also offer free webinars on the topics mentioned above.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [], "medical_domains": [], "ontology_categories": [{"id": 1, "name": "Consulting"}, {"id": 28, "name": "Training & Workshops"}, {"id": 9, "name": "Training & Education"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 75, "name": "Clinical Study consulting", "unique_identifier": "15c5223f-f4f7-4107-8aeb-a4f374ba9072", "description": "This service includes first meetings with experts in clinical investigation to support the SME in the maturation process of its innovative medical device and define the main steps in the clinical study process depending the SME needs.\nAccess to expert medical opinion. \nSupport to funding research;\n\nKeywords: Clinical investigation, clinical study; ", "description_html": "<p>This service includes first meetings with experts in clinical investigation to support the SME in the maturation process of its innovative medical device and define the main steps in the clinical study process depending the SME needs.\nAccess to expert medical opinion. \nSupport to funding research;</p>\n<p>Keywords: Clinical investigation, clinical study; </p>", "service_provider": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_id": 515, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_institution_id": 515, "service_provider_hierarchy": [{"id": 515, "name": "Centre Hospitalier Universitaire De Grenoble (CHUGA)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant 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"C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 345, "name": "C-Ethics & Regulatory Affairs (ethics board approval, legal requirements, ...)", "domain": "Ethics"}, {"id": 357, "name": "C-Clinical Investigation Support (clinical studies & trials, coordination, design, feasibility, documentation, compliance, operations support, etc.)", "domain": "Clinical"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study"]}, {"id": 76, "name": "Clinical Protocol consulting", "unique_identifier": "09fc104b-6aad-481f-8547-4c2b11a3ee63", "description": "Support SME to define the clinical investigation methodology (number of subjects, study design, endpoints definition, among others) and to write a first synopsis.\nIt may include:\n- Access to expert medical opinion.\n- Budget proposal for the clinical investigation. \n- Support to funding research;\nKeywords: Clinical investigation, clinical study;", "description_html": "<p>Support SME to define the clinical investigation methodology (number of subjects, study design, endpoints definition, among others) and to write a first synopsis.\nIt may include:\n- Access to expert medical opinion.\n- Budget proposal for the clinical investigation. \n- Support to funding research;\nKeywords: Clinical investigation, clinical study;</p>", "service_provider": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_id": 515, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_institution_id": 515, "service_provider_hierarchy": [{"id": 515, "name": "Centre Hospitalier Universitaire De Grenoble (CHUGA)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}], "ai_act_articles": [{"id": 60, "name": "Testing of high-risk AI systems in real world conditions outside AI regulatory sandboxes", "code": "art_60", "number": "Art. 60"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "55-135 EUR", "reduced_price": "40-120 EUR", "popularity": 1, "service_standard_legacy": "EU Regulation 2017/745 , Best Clinical Practises", "certification_support_legacy": "", "service_standards": [{"id": 14, "name": "Best Clinical Practises", "code": false}, {"id": 2, "name": "EU Regulation 2017/745", "code": false}], "certification_ids": [], "offering_ids": [{"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 345, "name": "C-Ethics & Regulatory Affairs (ethics board approval, legal requirements, ...)", "domain": "Ethics"}, {"id": 356, "name": "C-Development of conformity evaluation standards, protocols & tools", "domain": "Development"}, {"id": 357, "name": "C-Clinical Investigation Support (clinical studies & trials, coordination, design, feasibility, documentation, compliance, operations support, etc.)", "domain": "Clinical"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.integration_hcs"]}, {"id": 77, "name": "Clinical Study Design", "unique_identifier": "63066211-34ea-4ff6-ae71-a6c75a43f1d3", "description": "Consulting on the design of a clinical protocol for the clinical evaluation procedure to collect clinical data in support to the certification process throughout the lifecycle of the medical device.\nApplication of MDCG 2020-1 principles in the design of the specif clinical study;\nMDCG 2020-1.\n\nKeywords: Clinical investigation, clinical study, clinical evaluation procedure, CE certification process", "description_html": "<p>Consulting on the design of a clinical protocol for the clinical evaluation procedure to collect clinical data in support to the certification process throughout the lifecycle of the medical device.\nApplication of MDCG 2020-1 principles in the design of the specif clinical study;\nMDCG 2020-1.</p>\n<p>Keywords: Clinical investigation, clinical study, clinical evaluation procedure, CE certification process</p>", "service_provider": "Politecnico Di Milano (POLIMI)", "service_provider_id": 508, "service_provider_logo": "", "service_provider_institution": "Politecnico Di Milano (POLIMI)", "service_provider_institution_id": 508, "service_provider_hierarchy": [{"id": 508, "name": "Politecnico Di Milano (POLIMI)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}, {"id": 60, "name": "Testing of high-risk AI systems in real world conditions outside AI regulatory sandboxes", "code": "art_60", "number": "Art. 60"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Italy", "service_provider_country_flag": "\ud83c\uddee\ud83c\uddf9", "service_provider_country_code": "IT", "billing": "per hour", "full_price": "67-160 EUR", "reduced_price": "49-117 EUR", "popularity": 1, "service_standard_legacy": "EU Regulation 2017/745 , MDCG 2020-1", "certification_support_legacy": "", "service_standards": [{"id": 2, "name": "EU Regulation 2017/745", "code": false}, {"id": 15, "name": "MDCG 2020-1", "code": false}], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 354, "name": "C-Clinical Investigation Support (clinical studies & trials, coordination, design, feasibility, documentation, compliance, operations support)", "domain": "Clinical"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.integration_hcs"]}, {"id": 78, "name": "Biostatistical consulting", "unique_identifier": "fa3c1b0d-3bdf-4ebe-875c-0abbb3073595", "description": "This service offers biostatistical consulting relevant to Data Analysis to be obtained through the clinical evaluation procedure and relevant statistical evaluation;\nApplication of MDCG 2020-1 principles in the design of the specific clinical study.\n\nKeywords: Clinical investigation, clinical study, clinical evaluation procedure, statistical analysis; ", "description_html": "<p>This service offers biostatistical consulting relevant to Data Analysis to be obtained through the clinical evaluation procedure and relevant statistical evaluation;\nApplication of MDCG 2020-1 principles in the design of the specific clinical study.</p>\n<p>Keywords: Clinical investigation, clinical study, clinical evaluation procedure, statistical analysis; </p>", "service_provider": "Politecnico Di Milano (POLIMI)", "service_provider_id": 508, "service_provider_logo": "", "service_provider_institution": "Politecnico Di Milano (POLIMI)", "service_provider_institution_id": 508, "service_provider_hierarchy": [{"id": 508, "name": "Politecnico Di Milano (POLIMI)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Italy", "service_provider_country_flag": "\ud83c\uddee\ud83c\uddf9", "service_provider_country_code": "IT", "billing": "per hour", "full_price": "67-160 EUR", "reduced_price": "49-117 EUR", "popularity": 1, "service_standard_legacy": "EU Regulation 2017/745 , MDCG 2020-1", "certification_support_legacy": "", "service_standards": [{"id": 2, "name": "EU Regulation 2017/745", "code": false}, {"id": 15, "name": "MDCG 2020-1", "code": false}], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 354, "name": "C-Clinical Investigation Support (clinical studies & trials, coordination, design, feasibility, documentation, compliance, operations support)", "domain": "Clinical"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.integration_hcs"]}, {"id": 79, "name": "Regulatory Consulting: Clinical Evaluation ", "unique_identifier": "a3ba417b-efa4-4935-9921-5320a0d169ec", "description": "Compliance with MDR requires a robust Clinical Evaluation to demonstrate the safety, performance, and clinical benefits of a medical device. This process involves a systematic assessment of clinical data related to the device.\nIn the context of Clinical Evaluation, IPN services include:\n\n - Development of a Clinical Evaluation Plan (CEP): Defining the scope, methodology, and objectives of the evaluation, tailored to the device and its intended use.\n - Identification and Appraisal of Clinical Data: Systematic collection, appraisal, and analysis of clinical data from existing literature, clinical investigations, and post-market sources.\n - Elaboration of the Clinical Evaluation Report (CER): Compilation of all findings into a detailed CER aligned with MDR requirements to support regulatory submissions.\n - Gap Analysis: Evaluation of existing clinical data to identify gaps and strategies to address deficiencies, ensuring compliance with regulatory standards.\n\nThis service ensures a systematic and compliant approach to clinical evaluation, supporting regulatory approval and lifecycle management of medical devices.\n\n", "description_html": "<p>Compliance with MDR requires a robust Clinical Evaluation to demonstrate the safety, performance, and clinical benefits of a medical device. This process involves a systematic assessment of clinical data related to the device.\nIn the context of Clinical Evaluation, IPN services include:</p>\n<ul>\n<li>Development of a Clinical Evaluation Plan (CEP): Defining the scope, methodology, and objectives of the evaluation, tailored to the device and its intended use.</li>\n<li>Identification and Appraisal of Clinical Data: Systematic collection, appraisal, and analysis of clinical data from existing literature, clinical investigations, and post-market sources.</li>\n<li>Elaboration of the Clinical Evaluation Report (CER): Compilation of all findings into a detailed CER aligned with MDR requirements to support regulatory submissions.</li>\n<li>Gap Analysis: Evaluation of existing clinical data to identify gaps and strategies to address deficiencies, ensuring compliance with regulatory standards.</li>\n</ul>\n<p>This service ensures a systematic and compliant approach to clinical evaluation, supporting regulatory approval and lifecycle management of medical devices.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 54, "name": "CE Marking & Notified Body Support"}, {"id": 5, "name": "Regulatory & Certification"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 354, "name": "C-Clinical Investigation Support (clinical studies & trials, coordination, design, feasibility, documentation, compliance, operations support)", "domain": "Clinical"}, {"id": 356, "name": "C-Development of conformity evaluation standards, protocols & tools", "domain": "Development"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.regulatory_roadmap", "tier2.ce_marking"]}, {"id": 80, "name": "Regulatory Consulting: Biological Evaluation ", "unique_identifier": "e88a389a-52b3-4bd1-ad2d-e3d7496c6d8c", "description": "Biological evaluation is a critical process in the development of medical devices, aimed at assessing their safety and biocompatibility when interacting with biological systems. This evaluation ensures that the materials used do not cause adverse biological responses, and is guided by the ISO 10993 family of standards. To systematically address these requirements, it is essential to develop a Biological Evaluation Plan (BEP), detailing the specific tests and assessments needed based on the device\u2019s intended use, material composition, and duration of contact with the body. The findings from this process are compiled into a Biological Evaluation Report (BER), which summarizes the results, demonstrates compliance with ISO 10993, and ensures the device\u2019s safety and regulatory approval.", "description_html": "<p>Biological evaluation is a critical process in the development of medical devices, aimed at assessing their safety and biocompatibility when interacting with biological systems. This evaluation ensures that the materials used do not cause adverse biological responses, and is guided by the ISO 10993 family of standards. To systematically address these requirements, it is essential to develop a Biological Evaluation Plan (BEP), detailing the specific tests and assessments needed based on the device\u2019s intended use, material composition, and duration of contact with the body. The findings from this process are compiled into a Biological Evaluation Report (BER), which summarizes the results, demonstrates compliance with ISO 10993, and ensures the device\u2019s safety and regulatory approval.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 54, "name": "CE Marking & Notified Body Support"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 354, "name": "C-Clinical Investigation Support (clinical studies & trials, coordination, design, feasibility, documentation, compliance, operations support)", "domain": "Clinical"}, {"id": 356, "name": "C-Development of conformity evaluation standards, protocols & tools", "domain": "Development"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ce_marking"]}, {"id": 83, "name": "Support in Clinical Investigation /Clinical Performance Study  Activities", "unique_identifier": "68a6f490-881b-4c86-99d7-a81a065b2a99", "description": "Annex XV of the MDR outlines the requirements for the documentation regarding the application for Clinical Investigations to be conducted within the European Union. Similarly, Annexes XIII and XIV of the IVDR outlines the requirements for the documentation regarding applications for clinical performance studies and other performance studies . IPN is able to provide support in a two-step approach,\r\n\u2022 Study Documents & Submission Process, supporting the preparation of the mandatory documents and the submission of study to the Regulatory Authorities (ethics committees and competent authorities). \r\nIn this context, IPN services include:\r\n-> Clinical Investigation Plans (CIPs) / Clinical Performance Study Plan (CPSP)\r\n-> Investigator\u2019s Brochure (IB)\r\n-> Case Report Form (CRF)\r\n-> Informed Consent Form (ICF)\r\n-> Clinical Investigation Report (CIR) / Clinical Performance Study Report (CPSR) and Supporting Documentation\r\n-> Additional specific forms for local ethics committees and Competent Authorities in different countries.\r\n\u2022 Study Monitoring & Data Management, supporting the Site Initiation activities, recruitment process, monitoring, data collection/analysis and CIR/CPSR according to ISO 14155:2020/ PSR according to ISO 20916:2019 - Good Clinical Practices/ Good Study Practices. If needed, Study Coordination support may also be made available.\r\n", "description_html": "<p>Annex XV of the MDR outlines the requirements for the documentation regarding the application for Clinical Investigations to be conducted within the European Union. Similarly, Annexes XIII and XIV of the IVDR outlines the requirements for the documentation regarding applications for clinical performance studies and other performance studies . IPN is able to provide support in a two-step approach,\n\u2022 Study Documents &amp; Submission Process, supporting the preparation of the mandatory documents and the submission of study to the Regulatory Authorities (ethics committees and competent authorities). \nIn this context, IPN services include:\n-&gt; Clinical Investigation Plans (CIPs) / Clinical Performance Study Plan (CPSP)\n-&gt; Investigator\u2019s Brochure (IB)\n-&gt; Case Report Form (CRF)\n-&gt; Informed Consent Form (ICF)\n-&gt; Clinical Investigation Report (CIR) / Clinical Performance Study Report (CPSR) and Supporting Documentation\n-&gt; Additional specific forms for local ethics committees and Competent Authorities in different countries.\n\u2022 Study Monitoring &amp; Data Management, supporting the Site Initiation activities, recruitment process, monitoring, data collection/analysis and CIR/CPSR according to ISO 14155:2020/ PSR according to ISO 20916:2019 - Good Clinical Practices/ Good Study Practices. If needed, Study Coordination support may also be made available.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 1, "name": "Physical", "code": "physical"}, {"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 60, "name": "Testing of high-risk AI systems in real world conditions outside AI regulatory sandboxes", "code": "art_60", "number": "Art. 60"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [{"id": 31, "name": "Good Clinical Practices", "code": false}, {"id": 12, "name": "ISO 14155", "code": false}, {"id": 89, "name": "ISO 20916:2019", "code": false}], "certification_ids": [{"id": 8, "name": "CE Marking", "code": false}], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 354, "name": "C-Clinical Investigation Support (clinical studies & trials, coordination, design, feasibility, documentation, compliance, operations support)", "domain": "Clinical"}, {"id": 356, "name": "C-Development of conformity evaluation standards, protocols & tools", "domain": "Development"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study"]}, {"id": 84, "name": "Regulatory Consulting: Support in the MDs and IVDs CE Marking Process", "unique_identifier": "d4b4424d-f40f-4a41-98cf-11f888e27864", "description": "With special focus on active devices, IPN supports manufacturers, distributors, and importers of MDs and IVDs, in the CE marking process taking into account the applicable requirements of Regulation (EU) 2017/745 (Medical Device Regulation - MDR) or Regulation (EU) 2017/746 (In Vitro diagnostic Medical Device Regulation \u2013 IVDR), as applicable. In this context, IPN supports the implementation and review of the Quality Management System (QMS), together with the elaboration or revision of the Technical Documentation (TD) of the device (under Annex II and Annex III of MDR or IVDR). IPN also support the company, depending on the device class, with the submission of the certification request to a notified body.", "description_html": "<p>With special focus on active devices, IPN supports manufacturers, distributors, and importers of MDs and IVDs, in the CE marking process taking into account the applicable requirements of Regulation (EU) 2017/745 (Medical Device Regulation - MDR) or Regulation (EU) 2017/746 (In Vitro diagnostic Medical Device Regulation \u2013 IVDR), as applicable. In this context, IPN supports the implementation and review of the Quality Management System (QMS), together with the elaboration or revision of the Technical Documentation (TD) of the device (under Annex II and Annex III of MDR or IVDR). IPN also support the company, depending on the device class, with the submission of the certification request to a notified body.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 17, "name": "Quality management system", "code": "art_17", "number": "Art. 17"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}, {"id": 47, "name": "EU declaration of conformity", "code": "art_47", "number": "Art. 47"}], "mdr_classes": [], "trl_levels": [{"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 53, "name": "Quality Management System"}, {"id": 54, "name": "CE Marking & Notified Body Support"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 6, "service_standard_legacy": "", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [], "certification_ids": [{"id": 8, "name": "CE Marking", "code": false}, {"id": 27, "name": "IVDR 2017/746", "code": false}, {"id": 20, "name": "MDR 2017/745", "code": false}], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 354, "name": "C-Clinical Investigation Support (clinical studies & trials, coordination, design, feasibility, documentation, compliance, operations support)", "domain": "Clinical"}, {"id": 356, "name": 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"tier2_groups": ["tier2.simulated_environment", "tier2.testing_facilities", "tier2.robotics", "tier2.verification_validation_testing"]}, {"id": 92, "name": "Functional testing of Autonomous Mobile Robot", "unique_identifier": "57f02d04-1ebc-45b8-81ed-d34d6fa6a3c8", "description": "Technical testing of AMR (Autonomous Mobile Robot) for logistics:\n- performance and acceptability in realistic environment with representative users\nThis packaged service includes :\n- Room rental for testing\n- Participants (healthcare professionals) recruitment within our hospital if required\n- Protocol elaboration \n- Testing phase\n- Evaluation report, including recommendations if applicable\nPrices range is indicative and depends on testing protocol complexity and particpants number", "description_html": "<p>Technical testing of AMR (Autonomous Mobile Robot) for logistics:\n- performance and acceptability in realistic environment with representative users\nThis packaged service includes :\n- Room rental for testing\n- Participants (healthcare professionals) recruitment within our hospital if required\n- Protocol elaboration \n- Testing phase\n- Evaluation report, including recommendations if applicable\nPrices range is indicative and depends on testing protocol complexity and particpants number</p>", "service_provider": "Hospices Civils De Lyon (HCL)", "service_provider_id": 517, "service_provider_logo": "", "service_provider_institution": "Hospices Civils De Lyon (HCL)", "service_provider_institution_id": 517, "service_provider_hierarchy": [{"id": 517, "name": "Hospices Civils De Lyon (HCL)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 15, "name": "Hardware Design & Manufacturing"}, {"id": 50, "name": "Simulated Clinical Rooms"}, {"id": 16, "name": "Clinical Testbeds"}, {"id": 48, "name": "Systems Integration Testing"}, {"id": 4, "name": "Hardware & Robotics"}], "ontology_domains": [{"code": "hardware_robotics", "name": "Hardware & Robotics"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per evaluation", "full_price": "8000-50000 EUR", "reduced_price": "5000-40000 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 347, "name": "P-Hardware (Design, Development, Manufacturing, etc.)", "domain": "Hardware"}, {"id": 348, "name": "P-Testing Conformity & Compliance Hardware (CE, MDR, usability, etc.)", "domain": "Testing"}, {"id": 358, "name": "P-Testing Facility Simulated (ER, OR, ICU, office, ambulance, ward, patient home, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.simulated_environment", "tier2.testing_facilities", "tier2.robotics", "tier2.verification_validation_testing"]}, {"id": 93, "name": "Motion Laboratory Analysis (Room rental)", "unique_identifier": "880ce7ab-a69a-473f-b5e4-58565fe69cc2", "description": "Motion laboratory rental for prototype testing : usability/technical testing and evaluation of medical device [no patients included]. \nExamples: Study of an exoskeleton's movements ; analysis of \"fine\" surgical robots mouvements.\nMotion lab equipped with: \n- 8 infrared cameras, 2 high-resolution cameras, 2 plantar pressure sensors\n - Wireless pressure sensors and non-invasive electromyographic sensors (system Cometa)\n- GAITrite system (Spatio-temporal gait parameter analysis system)\n- Dedicated workstation and data-storage for daily-use analysis\n\nKeywords: motion; rental; technical testing; medical device evaluation", "description_html": "<p>Motion laboratory rental for prototype testing : usability/technical testing and evaluation of medical device [no patients included]. \nExamples: Study of an exoskeleton's movements ; analysis of fine surgical robots mouvements.\nMotion lab equipped with: \n- 8 infrared cameras, 2 high-resolution cameras, 2 plantar pressure sensors\n - Wireless pressure sensors and non-invasive electromyographic sensors (system Cometa)\n- GAITrite system (Spatio-temporal gait parameter analysis system)\n- Dedicated workstation and data-storage for daily-use analysis</p>\n<p>Keywords: motion; rental; technical testing; medical device evaluation</p>", "service_provider": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)", "service_provider_id": 518, "service_provider_logo": "", "service_provider_institution": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)", "service_provider_institution_id": 518, "service_provider_hierarchy": [{"id": 518, "name": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 16, "name": "Clinical Testbeds"}, {"id": 51, "name": "Real-World Testing Sites"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 4, "name": "Hardware & Robotics"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "hardware_robotics", "name": "Hardware & Robotics"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per day (facility rental)", "full_price": "1500 EUR", "reduced_price": "1100 EUR", "popularity": 0, "service_standard_legacy": "Clinical research center: GCP, ISO 9001", "certification_support_legacy": "", "service_standards": [{"id": 19, "name": "Clinical research center: GCP", "code": false}, {"id": 6, "name": "ISO 9001", "code": false}], "certification_ids": [], "offering_ids": [{"id": 359, "name": "P-Testing Facility Real-World (ER, OR, ICU, office, ambulance, ward, patient home, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.testing_facilities"]}, {"id": 94, "name": "Motion Laboratory & GAIT analysis - Data acquisition", "unique_identifier": "fc67d3f9-ad53-4cfc-a770-e541a4d614d4", "description": "Within the motion analysis laboratory, this service can offer: \n3D motion analysis system: \n- full body motion analysis\n- Gait analysis thanks to a full GAITrite system \n- definition of an anatomical model\n- motion sequence validation with an exoskeleton\n- movement tracking of robotics\nData acquisition can be completed with data analysis service.\n\nClinical and regulatory support to set up and submit the clinical study within French regulatory framework.\nExamples: clinical study to validate an exoskeleton on patients ; to validate a rehabilitation device on patients, ... \n\nKeywords: motion; GAIT analysis; robotics; exoskeleton; medical device validation", "description_html": "<p>Within the motion analysis laboratory, this service can offer: \n3D motion analysis system: \n- full body motion analysis\n- Gait analysis thanks to a full GAITrite system \n- definition of an anatomical model\n- motion sequence validation with an exoskeleton\n- movement tracking of robotics\nData acquisition can be completed with data analysis service.</p>\n<p>Clinical and regulatory support to set up and submit the clinical study within French regulatory framework.\nExamples: clinical study to validate an exoskeleton on patients ; to validate a rehabilitation device on patients, ... </p>\n<p>Keywords: motion; GAIT analysis; robotics; exoskeleton; medical device validation</p>", "service_provider": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)", "service_provider_id": 518, "service_provider_logo": "", "service_provider_institution": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)", "service_provider_institution_id": 518, "service_provider_hierarchy": [{"id": 518, "name": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 33, "name": "Rehabilitation Medicine", "code": "REHB"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per day", "full_price": "from 1500 EUR", "reduced_price": "from 1100 EUR", "popularity": 0, "service_standard_legacy": "Clinical research center: GCP, ISO 9001", "certification_support_legacy": "Medical Device Regulation ; ISO 14155:2020", "service_standards": [{"id": 19, "name": "Clinical research center: GCP", "code": false}, {"id": 6, "name": "ISO 9001", "code": false}], "certification_ids": [{"id": 10, "name": "ISO 14155", "code": false}, {"id": 1, "name": "MDR", "code": false}], "offering_ids": [{"id": 359, "name": "P-Testing Facility Real-World (ER, OR, ICU, office, ambulance, ward, patient home, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.testing_facilities", "tier2.robotics", "tier2.verification_validation_testing"]}, {"id": 95, "name": "Operating Room (rental)", "unique_identifier": "47765250-0349-4287-ac4c-2ab50104c6be", "description": "Facility rental for: \n- protoype testing: usability/technical testing and evaluation of medical device [no patients included]\n- MRI compatibility evaluation of medical devices\n\nRental of the operating room including: \n- surgical and anesthesic equipment MRI-compatible\n- anesthesic area\n- hospitalisation rooms if needed\nOR equipped with: \n- Neuro navigation robotic system ROSA \n- Intraoperative 1,5T MRI (Espree, Siemens): positioned on a rail to go into the operating room during surgery\n- Mobile X-ray unit (general Electric)\n- Stereotaxis interventional radiography chain (Apelem)\nKeywords: operating room; medical device evaluation", "description_html": "<p>Facility rental for: \n- protoype testing: usability/technical testing and evaluation of medical device [no patients included]\n- MRI compatibility evaluation of medical devices</p>\n<p>Rental of the operating room including: \n- surgical and anesthesic equipment MRI-compatible\n- anesthesic area\n- hospitalisation rooms if needed\nOR equipped with: \n- Neuro navigation robotic system ROSA \n- Intraoperative 1,5T MRI (Espree, Siemens): positioned on a rail to go into the operating room during surgery\n- Mobile X-ray unit (general Electric)\n- Stereotaxis interventional radiography chain (Apelem)\nKeywords: operating room; medical device evaluation</p>", "service_provider": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)", "service_provider_id": 518, "service_provider_logo": "", "service_provider_institution": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)", "service_provider_institution_id": 518, "service_provider_hierarchy": [{"id": 518, "name": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}, {"id": 9, "name": "Surgery", "code": "SURG"}], "ontology_categories": [{"id": 16, "name": "Clinical Testbeds"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 51, "name": "Real-World Testing Sites"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 4, "name": "Hardware & Robotics"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "hardware_robotics", "name": "Hardware & Robotics"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per day (facility rental) ", "full_price": "1500-3000 EUR", "reduced_price": "1050-2100 EUR", "popularity": 0, "service_standard_legacy": "Clinical research center: GCP, ISO 9001", "certification_support_legacy": "", "service_standards": [{"id": 19, "name": "Clinical research center: GCP", "code": false}, {"id": 6, "name": "ISO 9001", "code": false}], "certification_ids": [], "offering_ids": [{"id": 359, "name": "P-Testing Facility Real-World (ER, OR, ICU, office, ambulance, ward, patient home, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.simulated_environment", "tier2.testing_facilities", "tier2.imaging_facilities"]}, {"id": 96, "name": "Operating Room - Clinical investigation", "unique_identifier": "1ee66425-ed2c-4822-b56b-2e74cc7aef91", "description": "Conduct an interventional clinical study within clinical research facility CEA-Clinatec : Operating room and hospitalisation room, with access to Grenoble-Alpes University Hospital's network of clinicians. \nClinical and regulatory support to set up and submit the clinical study within French regulatory framework. \n\nOperating room equipped with: \n- Neuro navigation robotic system ROSA \n- Intraoperative 1,5T MRI (Espree, Siemens): positioned on a rail to go into the operating room during surgery\n- Mobile X-ray unit (general Electric)\n- Stereotaxis interventional radiography chain (Apelem)\n\nKeywords: operating room; clinical study; surgery; neurology; medical device validation", "description_html": "<p>Conduct an interventional clinical study within clinical research facility CEA-Clinatec : Operating room and hospitalisation room, with access to Grenoble-Alpes University Hospital's network of clinicians. \nClinical and regulatory support to set up and submit the clinical study within French regulatory framework. </p>\n<p>Operating room equipped with: \n- Neuro navigation robotic system ROSA \n- Intraoperative 1,5T MRI (Espree, Siemens): positioned on a rail to go into the operating room during surgery\n- Mobile X-ray unit (general Electric)\n- Stereotaxis interventional radiography chain (Apelem)</p>\n<p>Keywords: operating room; clinical study; surgery; neurology; medical device validation</p>", "service_provider": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)", "service_provider_id": 518, "service_provider_logo": "", "service_provider_institution": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)", "service_provider_institution_id": 518, "service_provider_hierarchy": [{"id": 518, "name": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 60, "name": "Testing of high-risk AI systems in real world conditions outside AI regulatory sandboxes", "code": "art_60", "number": "Art. 60"}, {"id": 61, "name": "Informed consent to participate in testing in real world conditions outside AI regulatory sandboxes", "code": "art_61", "number": "Art. 61"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 9, "name": "Surgery", "code": "SURG"}, {"id": 10, "name": "Neurology", "code": "NEUR"}], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per day", "full_price": "from 2000 EUR", "reduced_price": "from 1400 EUR", "popularity": 1, "service_standard_legacy": "Clinical research center: GCP, ISO 9001", "certification_support_legacy": "Medical Device Regulation ; ISO 14155:2020", "service_standards": [{"id": 19, "name": "Clinical research center: GCP", "code": false}, {"id": 6, "name": "ISO 9001", "code": false}], "certification_ids": [{"id": 10, "name": "ISO 14155", "code": false}, {"id": 1, "name": "MDR", "code": false}], "offering_ids": [{"id": 359, "name": "P-Testing Facility Real-World (ER, OR, ICU, office, ambulance, ward, patient home, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.testing_facilities"]}, {"id": 97, "name": "NeuroMotion Lab: Instrumented Gait Analysis & AI-Ready Data", "unique_identifier": "87073132-c440-4248-a8ad-38f4af7ee75f", "description": "**Service Keywords:**\n Expertise in Human Movement, Neurological Diseases, Project Design, Clinical Study Design, Scietific-Technical Constulting, Data Evaluation, Data Acquisition, Technical Support, Performance Evaluation/Reporting,\n\n**Equipment:**\n- 10x Vero Cameras (infrared)\n- 2x VUe Cameras (visible)\n- 2x AMTI Optima Pressure Plates\n- Cometa Wave Plus (EMG): 12x MiniWasve EMG Sensors, PICO EMG Sensors\n- 2x Blue Trident IMU (low and high g Accelerometer, Gyroscope, Magnetometer)\n\n**Who Can Benefit:**\n- Data Scientists and AI Researchers: To obtain high-quality datasets for training and validating AI models that can identify and predict gait abnormalities and differentiate between various movement disorders. For designing, implementing, and testing algorithms that automate the analysis of gait patterns, thereby improving efficiency and accuracy.\n- Healthcare Technology Innovators: To integrate AI-driven insights into wearable devices or diagnostic tools that enhance patient monitoring and care delivery.\n- Clinical Researchers: To explore AI applications in clinical trials, enhancing understanding of treatment impacts on gait and mobility in various disorders.\n- Software Developers: For creating user-friendly AI software interfaces that clinicians can use to easily interpret results and apply AI insights to patient care.\n- Rehabilitation Professionals: To utilize AI-enhanced feedback for developing adaptive rehabilitation protocols that respond to instrumented changes in gait patterns.\n- Biomedical Engineers: For advancing AI-driven biomechanical analysis tools that can be used in designing prosthetics, orthotics, and assistive devices.\n\n**Key Features:**\n- User-Friendly Interface: Intuitive software interface for both technical and non-technical users, ensuring ease of use for engineers, clinicians, and other healthcare personnel.\n- Comprehensive Reporting: Provides detailed reports and visualizations of gait characteristics, such as stride length, speed, and variability, to quantify gait patterns and draw clinically relevant conclusions.\n- Experienced Personnel: Gain access to a team of specialists with extensive experience in analyzing gait and movement patternsassociated with neurological conditions. Our experts possess in-depth knowledge and skills to provide accurate assessments and valuable insights, supporting the development of your application in the field of neurological disorders.\n- Directly Attached to Clinic: Patients and physicians can easily access the state of the art facility for gait and movement analysis.\n\n**Who We Are:**\nThe **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **\"Center for Sensor Technology and Digital Medicine\" (CEMDIS)** in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support  **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).\n", "description_html": "<p><strong>Service Keywords:</strong>\n Expertise in Human Movement, Neurological Diseases, Project Design, Clinical Study Design, Scietific-Technical Constulting, Data Evaluation, Data Acquisition, Technical Support, Performance Evaluation/Reporting,</p>\n<p><strong>Equipment:</strong>\n- 10x Vero Cameras (infrared)\n- 2x VUe Cameras (visible)\n- 2x AMTI Optima Pressure Plates\n- Cometa Wave Plus (EMG): 12x MiniWasve EMG Sensors, PICO EMG Sensors\n- 2x Blue Trident IMU (low and high g Accelerometer, Gyroscope, Magnetometer)</p>\n<p><strong>Who Can Benefit:</strong>\n- Data Scientists and AI Researchers: To obtain high-quality datasets for training and validating AI models that can identify and predict gait abnormalities and differentiate between various movement disorders. For designing, implementing, and testing algorithms that automate the analysis of gait patterns, thereby improving efficiency and accuracy.\n- Healthcare Technology Innovators: To integrate AI-driven insights into wearable devices or diagnostic tools that enhance patient monitoring and care delivery.\n- Clinical Researchers: To explore AI applications in clinical trials, enhancing understanding of treatment impacts on gait and mobility in various disorders.\n- Software Developers: For creating user-friendly AI software interfaces that clinicians can use to easily interpret results and apply AI insights to patient care.\n- Rehabilitation Professionals: To utilize AI-enhanced feedback for developing adaptive rehabilitation protocols that respond to instrumented changes in gait patterns.\n- Biomedical Engineers: For advancing AI-driven biomechanical analysis tools that can be used in designing prosthetics, orthotics, and assistive devices.</p>\n<p><strong>Key Features:</strong>\n- User-Friendly Interface: Intuitive software interface for both technical and non-technical users, ensuring ease of use for engineers, clinicians, and other healthcare personnel.\n- Comprehensive Reporting: Provides detailed reports and visualizations of gait characteristics, such as stride length, speed, and variability, to quantify gait patterns and draw clinically relevant conclusions.\n- Experienced Personnel: Gain access to a team of specialists with extensive experience in analyzing gait and movement patternsassociated with neurological conditions. Our experts possess in-depth knowledge and skills to provide accurate assessments and valuable insights, supporting the development of your application in the field of neurological disorders.\n- Directly Attached to Clinic: Patients and physicians can easily access the state of the art facility for gait and movement analysis.</p>\n<p><strong>Who We Are:</strong>\nThe <strong>Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)</strong> has established the <strong>Center for Sensor Technology and Digital Medicine (CEMDIS)</strong> in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through <strong>innovative sensor technology</strong> and <strong>digital solutions</strong>. This center focuses on integrating <strong>innovative medical technologies</strong> such as <strong>wearables</strong> and <strong>robotic systems</strong> to support  <strong>medical diagnostics</strong>, <strong>patient monitoring</strong> and <strong>evaluating patient-specific therapies</strong> by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the <strong>development</strong>, <strong>integration</strong>, and <strong>validation</strong> of novel health technologies, providing companies opportunities for <strong>technological advancements</strong>. For more information, visit the <a href=\"https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html\">Fraunhofer IIS website</a>.</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [{"id": 10, "name": "Neurology", "code": "NEUR"}, {"id": 33, "name": "Rehabilitation Medicine", "code": "REHB"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "97 - 160EUR", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 347, "name": "P-Hardware (Design, Development, Manufacturing, etc.)", "domain": "Hardware"}, {"id": 349, "name": "P-Testing Pre-Clinical (Neurology, Cardiology, wearables, motion, psychophysical, GLP, animal safety, toxicity, etc.)", "domain": "Testing"}, {"id": 350, "name": "P-Hardware Design, Development & Manufacturing", "domain": "Hardware"}, {"id": 355, "name": "P-Testing Clinical (investigation, trial, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.testing_facilities", "tier2.existing_data"]}, {"id": 98, "name": "Portable Multimodal Biosignal Monitoring System", "unique_identifier": "e45eead9-76ba-41f7-8bdb-a543d68ffb49", "description": "**Equipment:**\r\n- PHCT Mobile Gaitlab System Clinic: A complete mobile setup for detailed and accurate gait analysis, designed specifically for clinical use cases and supporting the aforementioned features and applications.\r\n- maphera\u00ae: A Fraunhofer technology revolving around easy and mobile acquisition of multimodal, patient-centered data in medical grade quality. Current sensors include ECG, PPG, EMG, IMU and any other modality you require, due to the flexible sensor interface of the maphera\u00ae system.\r\n- Polar H10 and Pro Strap: Long-term, mobile monitoring of heart rate and movement of subjects during any kind of activity in a real-world environment.\r\n\r\n**Who Can Benefit:**\r\n- Data Scientists and AI Researchers: Gain reliable datasets for developing AI models to identify and predict health abnormalities, enhancing the accuracy and efficiency of analysis.\r\n- Healthcare Technology Innovators: Integrate AI insights into wearable devices or diagnostic tools, advancing patient monitoring technologies.\r\n- Clinical Researchers: Employ AI applications in clinical trials to deepen insights into the effects of treatments on a multitude of physical disorders.\r\n- Software Developers: Create and refine user-friendly AI interfaces for clinicians, enabling effective application of AI-generated insights in patient care.\r\n- Rehabilitation Professionals: Leverage AI-enhanced feedback to craft adaptive rehabilitation strategies responsive to real-time biosignal analysis.\r\n- Biomedical Engineers: Innovate AI-driven biomechanical tools for the design of prosthetics, orthotics, and assistive devices.\r\n\r\n**Key Features:**\r\n- Portability: Designed for easy transport and quick setup in clinical or any other environment.\r\n- Real-Time Data Collection: Offers acquisition of highly synchronized multimodal data in a raw format for developing state of the art algorithms.\r\n- User-Friendly Interface: Simplifies operation for both technical and non-technical users, including engineers and healthcare personnel.\r\n- Comprehensive Reporting: Delivers detailed reports on gait characteristics such as stride length, speed, and balance for thorough clinical evaluations.\r\n- Expert Personnel: Specialists with extensive experience in analyzing gait and movement disorders, particularly those related to Parkinson's disease, to provide accurate assessments and insightful analysis for informed diagnoses and treatment planning.\r\n\r\n**Possible Applications:**\r\n- Algorithm Validation: Supplies precise and repeatable gait data essential for the evaluation of therapeutic interventions.\r\n- Multimodal Data Acquisition: Acquire medical grade data of various biosignals like ECG, EMG, motion or PPG (further sensor frontends in development).\r\n- Identify Relevant Modality: Identify the most relevant biosignal for your use case to acquire and use only relevant data in your application.\r\n- Fast Prototyping: Aside from your algorithm, you can validate your innovative wearable sensor technology and synchronize it to data from traditional sensor frontends.\r\n\r\n**Who We Are:**\r\nThe **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **\"Center for Sensor Technology and Digital Medicine\" (CEMDIS)** in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support  **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).", "description_html": "<p><strong>Equipment:</strong>\n- PHCT Mobile Gaitlab System Clinic: A complete mobile setup for detailed and accurate gait analysis, designed specifically for clinical use cases and supporting the aforementioned features and applications.\n- maphera\u00ae: A Fraunhofer technology revolving around easy and mobile acquisition of multimodal, patient-centered data in medical grade quality. Current sensors include ECG, PPG, EMG, IMU and any other modality you require, due to the flexible sensor interface of the maphera\u00ae system.\n- Polar H10 and Pro Strap: Long-term, mobile monitoring of heart rate and movement of subjects during any kind of activity in a real-world environment.</p>\n<p><strong>Who Can Benefit:</strong>\n- Data Scientists and AI Researchers: Gain reliable datasets for developing AI models to identify and predict health abnormalities, enhancing the accuracy and efficiency of analysis.\n- Healthcare Technology Innovators: Integrate AI insights into wearable devices or diagnostic tools, advancing patient monitoring technologies.\n- Clinical Researchers: Employ AI applications in clinical trials to deepen insights into the effects of treatments on a multitude of physical disorders.\n- Software Developers: Create and refine user-friendly AI interfaces for clinicians, enabling effective application of AI-generated insights in patient care.\n- Rehabilitation Professionals: Leverage AI-enhanced feedback to craft adaptive rehabilitation strategies responsive to real-time biosignal analysis.\n- Biomedical Engineers: Innovate AI-driven biomechanical tools for the design of prosthetics, orthotics, and assistive devices.</p>\n<p><strong>Key Features:</strong>\n- Portability: Designed for easy transport and quick setup in clinical or any other environment.\n- Real-Time Data Collection: Offers acquisition of highly synchronized multimodal data in a raw format for developing state of the art algorithms.\n- User-Friendly Interface: Simplifies operation for both technical and non-technical users, including engineers and healthcare personnel.\n- Comprehensive Reporting: Delivers detailed reports on gait characteristics such as stride length, speed, and balance for thorough clinical evaluations.\n- Expert Personnel: Specialists with extensive experience in analyzing gait and movement disorders, particularly those related to Parkinson's disease, to provide accurate assessments and insightful analysis for informed diagnoses and treatment planning.</p>\n<p><strong>Possible Applications:</strong>\n- Algorithm Validation: Supplies precise and repeatable gait data essential for the evaluation of therapeutic interventions.\n- Multimodal Data Acquisition: Acquire medical grade data of various biosignals like ECG, EMG, motion or PPG (further sensor frontends in development).\n- Identify Relevant Modality: Identify the most relevant biosignal for your use case to acquire and use only relevant data in your application.\n- Fast Prototyping: Aside from your algorithm, you can validate your innovative wearable sensor technology and synchronize it to data from traditional sensor frontends.</p>\n<p><strong>Who We Are:</strong>\nThe <strong>Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)</strong> has established the <strong>Center for Sensor Technology and Digital Medicine (CEMDIS)</strong> in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through <strong>innovative sensor technology</strong> and <strong>digital solutions</strong>. This center focuses on integrating <strong>innovative medical technologies</strong> such as <strong>wearables</strong> and <strong>robotic systems</strong> to support  <strong>medical diagnostics</strong>, <strong>patient monitoring</strong> and <strong>evaluating patient-specific therapies</strong> by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the <strong>development</strong>, <strong>integration</strong>, and <strong>validation</strong> of novel health technologies, providing companies opportunities for <strong>technological advancements</strong>. For more information, visit the <a href=\"https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html\">Fraunhofer IIS website</a>.</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "97 - 160EUR", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 347, "name": "P-Hardware (Design, Development, Manufacturing, etc.)", "domain": "Hardware"}, {"id": 349, "name": "P-Testing Pre-Clinical (Neurology, Cardiology, wearables, motion, psychophysical, GLP, animal safety, toxicity, etc.)", "domain": "Testing"}, {"id": 350, "name": "P-Hardware Design, Development & Manufacturing", "domain": "Hardware"}, {"id": 355, "name": "P-Testing Clinical (investigation, trial, etc.)", "domain": "Testing"}, {"id": 359, "name": "P-Testing Facility Real-World (ER, OR, ICU, office, ambulance, ward, patient home, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.testing_facilities", "tier2.existing_data"]}, {"id": 99, "name": "Psycho-physiological  Laboratory for multimodal Analysis of Emotions (Affective Sensing, Stress, etc.)", "unique_identifier": "80371c0f-be00-41d0-aab9-498c0f77ec3b", "description": "**Service Keywords:**\nPsychological Studies, Affective Sensing, Multimodal Data, Stress/Emotion Detection, Project Design, Clinical Study Design, Scientific-Technical Consulting, Data Evaluation, Data Acquisition, Technical Support, Performance Evaluation/Reporting\n\n**Equipment:**\n- Expo-Box: Provides a controlled environment specifically designed for psycho-physiological studies.\n- Video Monitoring System: Captures behavioral indicators and emotional expressions for comprehensive analysis.\n- BioPac System: Measures ECG, respiration, oximetry, EEG, EMG, and skin temperature for detailed physiological monitoring.\n- AntNeuro EEG: Offers high-resolution brain activity monitoring for in-depth neurological assessments.\n- Tobii Eye Tracker: Tracks eye movements to infer cognitive and emotional states.\n- SHORE Facial Expression Extraction: Analyzes facial expressions to determine emotional cues and responses.\n\n**Who Can Benefit:**\n- Psychologists and Behavioral Scientists: For conducting detailed studies on emotional and stress responses to enhance understanding of human behavior.\n- Neuroscientists: To explore the neurological underpinnings of emotions and stress-related disorders.\n- Healthcare Professionals: To develop and test interventions aimed at improving emotional regulation and stress management in patients.\n- Technical Innovators: To design and refine affective sensing technologies in various applications such as wearable devices and therapeutic tools.\n- Research Institutions: For collaborative projects that require cutting-edge technology and expert guidance in psycho-physiological research.\n\n**Key Features:**\n- Multimodal Emotion Analysis: Specializes in the comprehensive assessment of emotional states through various physiological and behavioral indicators, including affective sensing and stress evaluation.\n- Controlled Environment: Offers a controlled setting ideal for psycho-physiological studies, enabling precise measurement and analysis of emotional responses.\n- Advanced Monitoring: Utilizes state-of-the-art equipment for detailed bio-monitoring and emotional analysis to support psychological research and clinical applications.\n- Expert Support: Provides expert assistance in recording high-quality data, assessing the feasibility of studies, and conducting patient and subject research across diverse fields, including automotive, art, and video games.\n\n**Possible Applications:**\n- Psychological Studies: Facilitates research into emotional responses and stress management, supporting the development of new psychological theories and therapeutic approaches.\n- Clinical Research: Assists in the design and execution of clinical trials focused on the psycho-physiological aspects of emotional disorders.\n- Affective Sensing: Supports the development and validation of technologies aimed at detecting and interpreting emotions in real-time.\n\n**Who we are:**\nThe **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **\"Center for Sensor Technology and Digital Medicine\" (CEMDIS)** in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support  **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).", "description_html": "<p><strong>Service Keywords:</strong>\nPsychological Studies, Affective Sensing, Multimodal Data, Stress/Emotion Detection, Project Design, Clinical Study Design, Scientific-Technical Consulting, Data Evaluation, Data Acquisition, Technical Support, Performance Evaluation/Reporting</p>\n<p><strong>Equipment:</strong>\n- Expo-Box: Provides a controlled environment specifically designed for psycho-physiological studies.\n- Video Monitoring System: Captures behavioral indicators and emotional expressions for comprehensive analysis.\n- BioPac System: Measures ECG, respiration, oximetry, EEG, EMG, and skin temperature for detailed physiological monitoring.\n- AntNeuro EEG: Offers high-resolution brain activity monitoring for in-depth neurological assessments.\n- Tobii Eye Tracker: Tracks eye movements to infer cognitive and emotional states.\n- SHORE Facial Expression Extraction: Analyzes facial expressions to determine emotional cues and responses.</p>\n<p><strong>Who Can Benefit:</strong>\n- Psychologists and Behavioral Scientists: For conducting detailed studies on emotional and stress responses to enhance understanding of human behavior.\n- Neuroscientists: To explore the neurological underpinnings of emotions and stress-related disorders.\n- Healthcare Professionals: To develop and test interventions aimed at improving emotional regulation and stress management in patients.\n- Technical Innovators: To design and refine affective sensing technologies in various applications such as wearable devices and therapeutic tools.\n- Research Institutions: For collaborative projects that require cutting-edge technology and expert guidance in psycho-physiological research.</p>\n<p><strong>Key Features:</strong>\n- Multimodal Emotion Analysis: Specializes in the comprehensive assessment of emotional states through various physiological and behavioral indicators, including affective sensing and stress evaluation.\n- Controlled Environment: Offers a controlled setting ideal for psycho-physiological studies, enabling precise measurement and analysis of emotional responses.\n- Advanced Monitoring: Utilizes state-of-the-art equipment for detailed bio-monitoring and emotional analysis to support psychological research and clinical applications.\n- Expert Support: Provides expert assistance in recording high-quality data, assessing the feasibility of studies, and conducting patient and subject research across diverse fields, including automotive, art, and video games.</p>\n<p><strong>Possible Applications:</strong>\n- Psychological Studies: Facilitates research into emotional responses and stress management, supporting the development of new psychological theories and therapeutic approaches.\n- Clinical Research: Assists in the design and execution of clinical trials focused on the psycho-physiological aspects of emotional disorders.\n- Affective Sensing: Supports the development and validation of technologies aimed at detecting and interpreting emotions in real-time.</p>\n<p><strong>Who we are:</strong>\nThe <strong>Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)</strong> has established the <strong>Center for Sensor Technology and Digital Medicine (CEMDIS)</strong> in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through <strong>innovative sensor technology</strong> and <strong>digital solutions</strong>. This center focuses on integrating <strong>innovative medical technologies</strong> such as <strong>wearables</strong> and <strong>robotic systems</strong> to support  <strong>medical diagnostics</strong>, <strong>patient monitoring</strong> and <strong>evaluating patient-specific therapies</strong> by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the <strong>development</strong>, <strong>integration</strong>, and <strong>validation</strong> of novel health technologies, providing companies opportunities for <strong>technological advancements</strong>. For more information, visit the <a href=\"https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html\">Fraunhofer IIS website</a>.</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [{"id": 8, "name": "Mental Health", "code": "MHLT"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "97 - 160EUR", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 349, "name": "P-Testing Pre-Clinical (Neurology, Cardiology, wearables, motion, psychophysical, GLP, animal safety, toxicity, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.testing_facilities", "tier2.existing_data"]}, {"id": 100, "name": "The Cardiology and Electrophysiology Lab: Precision Monitoring for Clinical Research & Device Validation", "unique_identifier": "a9644586-5742-4258-ae07-e935f1b1544f", "description": "**Service Keywords:**\nExpertise in Electrophysiological Signals, Cardiovascular Diseases, Multimodal Data Acquisition (ECG, EMG, EEG, EOG, EDA), Project Design, Clinical Study Design, Scientific-Technical Consulting, Data Evaluation, Data Acquisition, Technical Support, Performance Evaluation/Reporting\n\n**Equipment:**\n- Biosign HRV-Scanner Model II: Mobile blood pressure monitor for evaluating heart rate variability.\n- SomnoMedics Sleep Monitor: Measures EEG, ECG, BP, oximetry, IMU, and EMG for comprehensive sleep assessments.\n- Biopac System: Monitors ECG, respiration, oximetry, EEG, EMG, and skin temperature for detailed physiological recordings.\n- Wireless Biopac System: Offers the same capabilities in a mobile format for versatile monitoring.\n- Vinno G55: Provides advanced ultrasonic imaging for cardiac and vascular assessments.\n- Maphera: A multimodal, portable, wireless biomedical acquisition system for a variety of physiological data.\n- Custo Guard Holter with Custo Wing: Long-term ECG monitoring for in-depth cardiac analysis.\n\n**Who Can Benefit:**\n- Cardiologists: For conducting advanced diagnostic assessments and managing patient care through detailed cardiac and electrophysiological data.\n- Biomedical Researchers: To explore cardiovascular physiology and develop innovative treatments or technologies.\n- Healthcare Engineers: For designing and testing medical devices that integrate with cardiovascular monitoring technologies.\n- Clinicians and Healthcare Institutions: To enhance clinical services and research capabilities with comprehensive cardiac assessment tools.\n\n**Key Features:**\n- Comprehensive Cardiac Monitoring: Equipped with advanced systems to evaluate a wide range of cardiovascular and electrophysiological parameters, ensuring precise and detailed analysis.\n- State-of-the-Art Technology: Utilizes cutting-edge equipment for both mobile and in-lab assessments, supporting diverse clinical and research applications.\n- Expert Support: Offers extensive scientific and technical consulting, with expertise in electrophysiological signals, to guide project design and enhance study outcomes through high-quality data recording and analysis.\n\n**Possible Applications:**\n- Clinical Trials: Facilitates rigorous evaluation of new cardiac therapies and devices, providing essential data for regulatory submission and clinical validation.\n- Patient Monitoring: Enables continuous monitoring of cardiac health, improving early detection and intervention for arrhythmias and other cardiovascular conditions.\n- Research and Development: Supports the development of novel diagnostic and therapeutic solutions by providing a robust platform for electrophysiological data acquisition.\n\n**Who We Are:**\nThe **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **\"Center for Sensor Technology and Digital Medicine\" (CEMDIS)** in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support  **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).", "description_html": "<p><strong>Service Keywords:</strong>\nExpertise in Electrophysiological Signals, Cardiovascular Diseases, Multimodal Data Acquisition (ECG, EMG, EEG, EOG, EDA), Project Design, Clinical Study Design, Scientific-Technical Consulting, Data Evaluation, Data Acquisition, Technical Support, Performance Evaluation/Reporting</p>\n<p><strong>Equipment:</strong>\n- Biosign HRV-Scanner Model II: Mobile blood pressure monitor for evaluating heart rate variability.\n- SomnoMedics Sleep Monitor: Measures EEG, ECG, BP, oximetry, IMU, and EMG for comprehensive sleep assessments.\n- Biopac System: Monitors ECG, respiration, oximetry, EEG, EMG, and skin temperature for detailed physiological recordings.\n- Wireless Biopac System: Offers the same capabilities in a mobile format for versatile monitoring.\n- Vinno G55: Provides advanced ultrasonic imaging for cardiac and vascular assessments.\n- Maphera: A multimodal, portable, wireless biomedical acquisition system for a variety of physiological data.\n- Custo Guard Holter with Custo Wing: Long-term ECG monitoring for in-depth cardiac analysis.</p>\n<p><strong>Who Can Benefit:</strong>\n- Cardiologists: For conducting advanced diagnostic assessments and managing patient care through detailed cardiac and electrophysiological data.\n- Biomedical Researchers: To explore cardiovascular physiology and develop innovative treatments or technologies.\n- Healthcare Engineers: For designing and testing medical devices that integrate with cardiovascular monitoring technologies.\n- Clinicians and Healthcare Institutions: To enhance clinical services and research capabilities with comprehensive cardiac assessment tools.</p>\n<p><strong>Key Features:</strong>\n- Comprehensive Cardiac Monitoring: Equipped with advanced systems to evaluate a wide range of cardiovascular and electrophysiological parameters, ensuring precise and detailed analysis.\n- State-of-the-Art Technology: Utilizes cutting-edge equipment for both mobile and in-lab assessments, supporting diverse clinical and research applications.\n- Expert Support: Offers extensive scientific and technical consulting, with expertise in electrophysiological signals, to guide project design and enhance study outcomes through high-quality data recording and analysis.</p>\n<p><strong>Possible Applications:</strong>\n- Clinical Trials: Facilitates rigorous evaluation of new cardiac therapies and devices, providing essential data for regulatory submission and clinical validation.\n- Patient Monitoring: Enables continuous monitoring of cardiac health, improving early detection and intervention for arrhythmias and other cardiovascular conditions.\n- Research and Development: Supports the development of novel diagnostic and therapeutic solutions by providing a robust platform for electrophysiological data acquisition.</p>\n<p><strong>Who We Are:</strong>\nThe <strong>Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)</strong> has established the <strong>Center for Sensor Technology and Digital Medicine (CEMDIS)</strong> in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through <strong>innovative sensor technology</strong> and <strong>digital solutions</strong>. This center focuses on integrating <strong>innovative medical technologies</strong> such as <strong>wearables</strong> and <strong>robotic systems</strong> to support  <strong>medical diagnostics</strong>, <strong>patient monitoring</strong> and <strong>evaluating patient-specific therapies</strong> by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the <strong>development</strong>, <strong>integration</strong>, and <strong>validation</strong> of novel health technologies, providing companies opportunities for <strong>technological advancements</strong>. For more information, visit the <a href=\"https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html\">Fraunhofer IIS website</a>.</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [{"id": 7, "name": "Cardiology", "code": "CARD"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "97 - 160EUR", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 347, "name": "P-Hardware (Design, Development, Manufacturing, etc.)", "domain": "Hardware"}, {"id": 349, "name": "P-Testing Pre-Clinical (Neurology, Cardiology, wearables, motion, psychophysical, GLP, animal safety, toxicity, etc.)", "domain": "Testing"}, {"id": 350, "name": "P-Hardware Design, Development & Manufacturing", "domain": "Hardware"}, {"id": 355, "name": "P-Testing Clinical (investigation, trial, etc.)", "domain": "Testing"}, {"id": 359, "name": "P-Testing Facility Real-World (ER, OR, ICU, office, ambulance, ward, patient home, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.testing_facilities", "tier2.verification_validation_testing"]}, {"id": 101, "name": "The Movement Lab: Multimodal Sports & Clinical Motion Analysis", "unique_identifier": "fddd3e63-57ab-42bb-8aed-ed2867479737", "description": "**Equipment:**\r\n- Gym Setup: Comprehensive facilities equipped for diverse sports and exercise testing.\r\n- Ergometer and Track: Standard equipment for controlled cardiovascular and endurance assessments.\r\n- BioPac System: Monitors ECG, respiration, oximetry, EEG, EMG, and skin temperature for thorough physiological analysis.\r\n- Wireless BioPac System: Offers mobile monitoring capabilities, ideal for field and in-lab scenarios.\r\n- Mobile ECG (Holter): Includes BTL Flexi 12, BTL Holter 08, and CardioSecure for continuous heart monitoring.\r\n- Smart Textiles: Integrates ECG and respiration monitoring directly into sportswear for seamless data collection.\r\n- XSens Cameras and Systems: Advanced biomechanical sensing with MVN Link, MVN Awinda 2, and pressure mapping for comprehensive motion capture and analysis.\r\n\r\n**Who Can Benefit:**\r\n- Sports Scientists and Researchers: For conducting advanced studies on human movement and optimizing athletic performance.\r\n- Athletic Trainers and Coaches: To design and refine training strategies based on precise biomechanical and physiological data.\r\n- Physical Therapists: To develop tailored rehabilitation programs and track recovery using comprehensive performance assessments.\r\n- Biomechanical Engineers: For developing sports-related technologies and equipment by leveraging biomechanical insights.\r\n- Professional and Amateur Athletes: To enhance performance and reduce the risk of injuries through data-driven insights.\r\n\r\n**Key Features:**\r\n- Multimodal Physical Activity Analysis: Specializes in comprehensive assessments of athletic performance using a wide range of physiological and biomechanical measurements.\r\n- State-of-the-Art Equipment: Provides versatile setups and advanced monitoring technologies to capture detailed data on physical activity and sports performance.\r\n- Expert Support: Offers robust scientific and technical consulting, featuring expertise in both electrophysiological signals and biomechanics, to optimize study design and data analysis.\r\n\r\n**Possible Applications:**\r\n- Athletic Performance Testing: Facilitates detailed analysis of athletes' physical abilities and limitations, supporting personalized training and rehabilitation programs.\r\n- Sports Science Research: Enables the study of biomechanics and physiology in sports settings, contributing to the development of innovative training methods and performance-enhancing techniques.\r\n- Injury Prevention and Rehabilitation: Assists in identifying risk factors and monitoring recovery progress, helping to minimize injury occurrence and expedite rehabilitation.\r\n- Neurological Disease Assessment: Identifying the severity of a Parkinsons disease from the gait of the patient.\r\n\r\n**Who We Are:**\r\nThe **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **\"Center for Sensor Technology and Digital Medicine\" (CEMDIS)** in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support  **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).", "description_html": "<p><strong>Equipment:</strong>\n- Gym Setup: Comprehensive facilities equipped for diverse sports and exercise testing.\n- Ergometer and Track: Standard equipment for controlled cardiovascular and endurance assessments.\n- BioPac System: Monitors ECG, respiration, oximetry, EEG, EMG, and skin temperature for thorough physiological analysis.\n- Wireless BioPac System: Offers mobile monitoring capabilities, ideal for field and in-lab scenarios.\n- Mobile ECG (Holter): Includes BTL Flexi 12, BTL Holter 08, and CardioSecure for continuous heart monitoring.\n- Smart Textiles: Integrates ECG and respiration monitoring directly into sportswear for seamless data collection.\n- XSens Cameras and Systems: Advanced biomechanical sensing with MVN Link, MVN Awinda 2, and pressure mapping for comprehensive motion capture and analysis.</p>\n<p><strong>Who Can Benefit:</strong>\n- Sports Scientists and Researchers: For conducting advanced studies on human movement and optimizing athletic performance.\n- Athletic Trainers and Coaches: To design and refine training strategies based on precise biomechanical and physiological data.\n- Physical Therapists: To develop tailored rehabilitation programs and track recovery using comprehensive performance assessments.\n- Biomechanical Engineers: For developing sports-related technologies and equipment by leveraging biomechanical insights.\n- Professional and Amateur Athletes: To enhance performance and reduce the risk of injuries through data-driven insights.</p>\n<p><strong>Key Features:</strong>\n- Multimodal Physical Activity Analysis: Specializes in comprehensive assessments of athletic performance using a wide range of physiological and biomechanical measurements.\n- State-of-the-Art Equipment: Provides versatile setups and advanced monitoring technologies to capture detailed data on physical activity and sports performance.\n- Expert Support: Offers robust scientific and technical consulting, featuring expertise in both electrophysiological signals and biomechanics, to optimize study design and data analysis.</p>\n<p><strong>Possible Applications:</strong>\n- Athletic Performance Testing: Facilitates detailed analysis of athletes' physical abilities and limitations, supporting personalized training and rehabilitation programs.\n- Sports Science Research: Enables the study of biomechanics and physiology in sports settings, contributing to the development of innovative training methods and performance-enhancing techniques.\n- Injury Prevention and Rehabilitation: Assists in identifying risk factors and monitoring recovery progress, helping to minimize injury occurrence and expedite rehabilitation.\n- Neurological Disease Assessment: Identifying the severity of a Parkinsons disease from the gait of the patient.</p>\n<p><strong>Who We Are:</strong>\nThe <strong>Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)</strong> has established the <strong>Center for Sensor Technology and Digital Medicine (CEMDIS)</strong> in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through <strong>innovative sensor technology</strong> and <strong>digital solutions</strong>. This center focuses on integrating <strong>innovative medical technologies</strong> such as <strong>wearables</strong> and <strong>robotic systems</strong> to support  <strong>medical diagnostics</strong>, <strong>patient monitoring</strong> and <strong>evaluating patient-specific therapies</strong> by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the <strong>development</strong>, <strong>integration</strong>, and <strong>validation</strong> of novel health technologies, providing companies opportunities for <strong>technological advancements</strong>. For more information, visit the <a href=\"https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html\">Fraunhofer IIS website</a>.</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", 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User testing. </p>", "service_provider": "Metropolia Ammattikorkeakoulu Oy (METROPOLIA)", "service_provider_id": 521, "service_provider_logo": "", "service_provider_institution": "Metropolia Ammattikorkeakoulu Oy (METROPOLIA)", "service_provider_institution_id": 521, "service_provider_hierarchy": [{"id": 521, "name": "Metropolia Ammattikorkeakoulu Oy (METROPOLIA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 14, "name": "Human oversight", "code": "art_14", "number": "Art. 14"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 50, "name": "Simulated Clinical Rooms"}, {"id": 62, "name": "Usability Testing (Formative/Summative)"}, {"id": 16, "name": "Clinical Testbeds"}, {"id": 20, "name": "Clinical Usability & Validation"}, {"id": 4, "name": "Hardware & Robotics"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "hardware_robotics", "name": "Hardware & Robotics"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Finland", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddee", "service_provider_country_code": "FI", "billing": "per hour", "full_price": "8000 EUR to 60000 EUR Depending on complexity, can be significantly higher.", "reduced_price": "", "popularity": 0, "service_standard_legacy": "Metropolia has passed the audit conducted by the Finnish Education Evaluation Centre (FINEEC). As a result of the successful audit, the Metropolia University of Applied Sciences received a FINEEC quality label valid until 31 March 2029. By passing the audit, the university of applied sciences showed that its activities and quality system meet both the national criteria and the European quality assurance criteria for higher education institutions. The focus of the audit is on the procedures used by the HEI to maintain and enhance the quality of its educational provision, research and societal engagement and impact. The evaluation criteria applied in the audit are available in the\u00a0FINEEC's Audit manual for higher education institutions", "certification_support_legacy": "", "service_standards": [{"id": 24, "name": "Metropolia has passed the audit conducted by the Finnish Education Evaluation Centre (FINEEC). As a result of the successful audit, the Metropolia University of Applied Sciences received a FINEEC quality label valid until 31 March 2029. 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Video recording</p>", "service_provider": "Metropolia Ammattikorkeakoulu Oy (METROPOLIA)", "service_provider_id": 521, "service_provider_logo": "", "service_provider_institution": "Metropolia Ammattikorkeakoulu Oy (METROPOLIA)", "service_provider_institution_id": 521, "service_provider_hierarchy": [{"id": 521, "name": "Metropolia Ammattikorkeakoulu Oy (METROPOLIA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [{"id": 32, "name": "Orthopedics", "code": "ORTH"}, {"id": 33, "name": "Rehabilitation Medicine", "code": "REHB"}], "ontology_categories": [{"id": 50, "name": "Simulated Clinical Rooms"}, {"id": 16, "name": "Clinical Testbeds"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 4, "name": "Hardware & Robotics"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "hardware_robotics", "name": "Hardware & Robotics"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Finland", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddee", "service_provider_country_code": "FI", "billing": "per hour", "full_price": "8000 EUR to 60000 EUR Depending on complexity, can be significantly higher.", "reduced_price": "", "popularity": 0, "service_standard_legacy": "Metropolia has passed the audit conducted by the Finnish Education Evaluation Centre (FINEEC). As a result of the successful audit, the Metropolia University of Applied Sciences received a FINEEC quality label valid until 31 March 2029. By passing the audit, the university of applied sciences showed that its activities and quality system meet both the national criteria and the European quality assurance criteria for higher education institutions. The focus of the audit is on the procedures used by the HEI to maintain and enhance the quality of its educational provision, research and societal engagement and impact. The evaluation criteria applied in the audit are available in the\u00a0FINEEC's Audit manual for higher education institutions", "certification_support_legacy": "", "service_standards": [{"id": 24, "name": "Metropolia has passed the audit conducted by the Finnish Education Evaluation Centre (FINEEC). As a result of the successful audit, the Metropolia University of Applied Sciences received a FINEEC quality label valid until 31 March 2029. By passing the audit, the university of applied sciences showed that its activities and quality system meet both the national criteria and the European quality assurance criteria for higher education institutions. The focus of the audit is on the procedures used by the HEI to maintain and enhance the quality of its educational provision, research and societal engagement and impact. The evaluation criteria applied in the audit are available in the FINEEC's Audit manual for higher education institutions", "code": false}], "certification_ids": [], "offering_ids": [{"id": 337, "name": "C-Training & Education", "domain": "Training"}, {"id": 345, "name": "C-Ethics & Regulatory Affairs (ethics board approval, legal requirements, ...)", "domain": "Ethics"}, {"id": 359, "name": "P-Testing Facility Real-World (ER, OR, ICU, office, ambulance, ward, patient home, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.testing_facilities", "tier2.laboratory_facilities"]}, {"id": 124, "name": "Testing of upper limb capacity for exoskeletons performance validation", "unique_identifier": "e2c282d5-eda1-4f2e-975a-3ccd6e93759a", "description": "This service offers the design of usability and clinical trials for the evaluation of exoskeleton both for the assistance of persons with disabilities and for the support of workers. The evaluation is based on a benchmarking scheme of upper limb functions capacity through a Motion Analysis Laboratory equipped with optoelectrontric systems or wearable inertial units, force platforms, surface electromyiograph, baropodometric platform. \n\nThe service will be provided in collaboration with the clinical center \"Villa Beretta\" (Lecco).\n\nKeywords: Upper Limb Exoskeleton, Motion Analysis Laboratory, EMG, Benchmarking schemes, Design of Clinical Evaluation", "description_html": "<p>This service offers the design of usability and clinical trials for the evaluation of exoskeleton both for the assistance of persons with disabilities and for the support of workers. The evaluation is based on a benchmarking scheme of upper limb functions capacity through a Motion Analysis Laboratory equipped with optoelectrontric systems or wearable inertial units, force platforms, surface electromyiograph, baropodometric platform. </p>\n<p>The service will be provided in collaboration with the clinical center Villa Beretta (Lecco).</p>\n<p>Keywords: Upper Limb Exoskeleton, Motion Analysis Laboratory, EMG, Benchmarking schemes, Design of Clinical Evaluation</p>", "service_provider": "Politecnico Di Milano (POLIMI)", "service_provider_id": 508, "service_provider_logo": "", "service_provider_institution": "Politecnico Di Milano (POLIMI)", "service_provider_institution_id": 508, "service_provider_hierarchy": [{"id": 508, "name": "Politecnico Di Milano (POLIMI)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 32, "name": "Orthopedics", "code": "ORTH"}, {"id": 33, "name": "Rehabilitation Medicine", "code": "REHB"}], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 62, "name": "Usability Testing (Formative/Summative)"}, {"id": 16, "name": "Clinical Testbeds"}, {"id": 20, "name": "Clinical Usability & Validation"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 4, "name": "Hardware & Robotics"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "hardware_robotics", "name": "Hardware & Robotics"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Italy", "service_provider_country_flag": "\ud83c\uddee\ud83c\uddf9", "service_provider_country_code": "IT", "billing": "per testing subject", "full_price": "1900-2100 EUR", "reduced_price": "1500-1700 EUR", "popularity": 0, "service_standard_legacy": "\u00a0", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 348, "name": "P-Testing Conformity & Compliance Hardware (CE, MDR, usability, etc.)", "domain": "Testing"}, {"id": 349, "name": "P-Testing Pre-Clinical (Neurology, Cardiology, wearables, motion, psychophysical, GLP, animal safety, toxicity, etc.)", "domain": "Testing"}, {"id": 355, "name": "P-Testing Clinical (investigation, trial, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.laboratory_facilities", "tier2.robotics", "tier2.verification_validation_testing"]}, {"id": 125, "name": "Movement Analysis assessment and training in the clinical/sport/ergonomics fields", "unique_identifier": "487209ca-edc3-4860-b2b9-974b748ab141", "description": "This service offers a 3D MULTIFACTORIAL INTEGRATED POSTURE and MOVEMENT ANALYSIS using: Optoelectronic systems; 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It offers an exceptional collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. \nThe core facility Karolinska Experimental Research and Imaging Centre (KERIC) offers simulated environmental operating rooms for surgical training and medical and robotic device testing. KERIC is a joint university- and hospital facility that gives you access to expert surgeons, medical doctors, technicians and researchers expertise. The four operation units are equipped with:\n\n\u2022\tAnaesthesia equipment (Dr\u00e4ger Primus Infinity)\n\u2022\tMonitoring equipment (Datex / Philips MX800)\n\u2022\tOperating table (TruSystem 7000)\n\u2022\tSurgical diathermy (Valleylab, ForceTriad)\n\u2022\tSurgical light (Maquet Volista)\n\u2022\tPatient warming units (Mistral Air)\n\u2022\tSurgical suction\n\u2022\tStandard surgical instruments\n\nOur operating rooms are regularly used for surgical training in transplantation, neuro/stroke, pediatric surgery, specialist trauma expertise, otorhinolaryngology, gynaecology, and pediatric surgery. In this service, we offer full support in project consultation, ethical permits, module technical support, expert surgeons, animal technicians and data analysis. We can host animals directly or indirectly through collaboration within KU (AKM) and other animal labs.\nFor more information, visit the website: \nhttps://ki.se/en/research/research-infrastructure-and-environments/core-facilities-for-research/keric/experimental-surgery", "description_html": "<p>Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. \nThe core facility Karolinska Experimental Research and Imaging Centre (KERIC) offers simulated environmental operating rooms for surgical training and medical and robotic device testing. KERIC is a joint university- and hospital facility that gives you access to expert surgeons, medical doctors, technicians and researchers expertise. The four operation units are equipped with:</p>\n<p>\u2022   Anaesthesia equipment (Dr\u00e4ger Primus Infinity)\n\u2022   Monitoring equipment (Datex / Philips MX800)\n\u2022   Operating table (TruSystem 7000)\n\u2022   Surgical diathermy (Valleylab, ForceTriad)\n\u2022   Surgical light (Maquet Volista)\n\u2022   Patient warming units (Mistral Air)\n\u2022   Surgical suction\n\u2022   Standard surgical instruments</p>\n<p>Our operating rooms are regularly used for surgical training in transplantation, neuro/stroke, pediatric surgery, specialist trauma expertise, otorhinolaryngology, gynaecology, and pediatric surgery. In this service, we offer full support in project consultation, ethical permits, module technical support, expert surgeons, animal technicians and data analysis. We can host animals directly or indirectly through collaboration within KU (AKM) and other animal labs.\nFor more information, visit the website: \nhttps://ki.se/en/research/research-infrastructure-and-environments/core-facilities-for-research/keric/experimental-surgery</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [{"id": 9, "name": "Surgery", "code": "SURG"}], "ontology_categories": [{"id": 50, "name": "Simulated Clinical Rooms"}, {"id": 16, "name": "Clinical Testbeds"}, {"id": 4, "name": "Hardware & Robotics"}], "ontology_domains": [{"code": "hardware_robotics", "name": "Hardware & Robotics"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "Per day", "full_price": "5040 EUR", "reduced_price": "925  EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 349, "name": "P-Testing Pre-Clinical (Neurology, Cardiology, wearables, motion, psychophysical, GLP, animal safety, toxicity, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.simulated_environment", "tier2.testing_facilities"]}, {"id": 140, "name": "Simulated environment testing- Operating room - 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The unit assists in translational research projects, in the translation of genomics-based tools to routine clinical care and also aims to improve the capability for national microbial surveillance and for pandemic preparedness.\n\nThe Service: Whole genome or targeted DNA sequencing\nSequencing of the entire human genome (with a PCR-free protocol) or selected parts of the genome (through exome or panel sequencing), followed by germline or somatic analysis.\nThis service encompasses:\no\tConsultation (Project design, Target capture design)\no\tSample management\no\tDNA sequencing (Whole Genome Seq (WGS), Whole Exome Seq (WES), Panels)\no\tBioinformatics (Bioinformatic analysis (data generated at CG)\nEquipment:\nOur unit has access to specialized equipment that enable us to factilitate the translation of new high-throughput techniques into clinical use. These include, but are not restricted to:\n\u2022\tVarious automatic robotic systems (BRAVO NGS Workstation, Hamilton NGS Star)\n\u2022\tVarious systems for QC, quantification and fragment analyses (TapeStation, Quantification using fluorescent assay (Qubit, Quantit))\n\u2022\tInstrumentation for real time PCR and ddPCR (BioRad qPCR)\n\u2022\tInstrumentation for Multispectral imaging (Saphyr optical mapper)\n\u2022\tSequencing platforms:\no\tIllumina (NovaSeq 6000, NovaSeq 6000 Dx, NovaSeq X)\no\tNanopore (PromethION \u201caccess via NGI\u201d)\no\tPacBio (Revio)\n\nProspective Use case: \nAI based software solution uses WGS data to identify genetic biomarkers to help clinicians either during diagnostic phase and/or at the treatment phase in order to identify genetic aberrations possibly explaining the disease onset or to assist in the therapeutic decisions such as for example in breast cancer the presence of BRCA1 mutation.  \nAI software can be trained to learn to deliver diagnostic based on WGS data (especially needed in the field of rare diseases) to recognize genetic variations (from single nucleotide to over 50bp deletion or insertion) in a more robust and accurate manner (to limit generation of false negative or false positive cases) to support clinicians in their decision process.\n", "description_html": "<p>The Unit: Clinical Genomics Stockholm (https://www.scilifelab.se/units/clinical-genomics-stockholm/)\nThis infrastructure is part of Science for Life Laboratory (SciLifeLab) which is an academic collaboration between Swedish universities (including Karolinska Institutet) and a national research infrastructure with a focus on life science.\nClinical Genomics Stockholm unit is a research infrastructure for large-scale, genomics-based analyses using next generation sequencing technologies. The unit assists in translational research projects, in the translation of genomics-based tools to routine clinical care and also aims to improve the capability for national microbial surveillance and for pandemic preparedness.</p>\n<p>The Service: Whole genome or targeted DNA sequencing\nSequencing of the entire human genome (with a PCR-free protocol) or selected parts of the genome (through exome or panel sequencing), followed by germline or somatic analysis.\nThis service encompasses:\no   Consultation (Project design, Target capture design)\no   Sample management\no   DNA sequencing (Whole Genome Seq (WGS), Whole Exome Seq (WES), Panels)\no   Bioinformatics (Bioinformatic analysis (data generated at CG)\nEquipment:\nOur unit has access to specialized equipment that enable us to factilitate the translation of new high-throughput techniques into clinical use. These include, but are not restricted to:\n\u2022   Various automatic robotic systems (BRAVO NGS Workstation, Hamilton NGS Star)\n\u2022   Various systems for QC, quantification and fragment analyses (TapeStation, Quantification using fluorescent assay (Qubit, Quantit))\n\u2022   Instrumentation for real time PCR and ddPCR (BioRad qPCR)\n\u2022   Instrumentation for Multispectral imaging (Saphyr optical mapper)\n\u2022   Sequencing platforms:\no   Illumina (NovaSeq 6000, NovaSeq 6000 Dx, NovaSeq X)\no   Nanopore (PromethION \u201caccess via NGI\u201d)\no   PacBio (Revio)</p>\n<p>Prospective Use case: \nAI based software solution uses WGS data to identify genetic biomarkers to help clinicians either during diagnostic phase and/or at the treatment phase in order to identify genetic aberrations possibly explaining the disease onset or to assist in the therapeutic decisions such as for example in breast cancer the presence of BRCA1 mutation.<br>\nAI software can be trained to learn to deliver diagnostic based on WGS data (especially needed in the field of rare diseases) to recognize genetic variations (from single nucleotide to over 50bp deletion or insertion) in a more robust and accurate manner (to limit generation of false negative or false positive cases) to support clinicians in their decision process.</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": 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These include, but are not restricted to:\n\u2022   Various automatic robotic systems (BRAVO NGS Workstation, Hamilton NGS Star)\n\u2022   Various systems for QC, quantification and fragment analyses (TapeStation, Quantification using fluorescent assay (Qubit, Quantit))\n\u2022   Instrumentation for real time PCR and ddPCR (BioRad qPCR)\n\u2022   Instrumentation for Multispectral imaging (Saphyr optical mapper)\n\u2022   Sequencing platforms:\no   Illumina (NovaSeq 6000, NovaSeq 6000 Dx, NovaSeq X)\no   Nanopore (PromethION \u201caccess via NGI\u201d)\no   PacBio (Revio)</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": 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2T0g1ZGF0NWVzZFJqMHU1dkJGd3VwbVpZZmdsJiN4QTtWekhLVjNDdng0bnI4ajB4VkFma241T3V2SUg1ZDJlaDZ4ck1GL01rMHNnbWprSnQ0L1VOZlJoYVRpU3FrRTlCdVR0aXI1eXZydlh2JiN4QTt6My9PWFUvTDkvcnJhVDVVMHhyaVdHM0QvdWx0cldWWUZaSXlWUnBwV2RXTE4wcWV3cGlyNlUvS0w4cHREL0xmUjd5dzBpK252N2ZVJiN4QTtKMXVqTGNsQ1IrN0NnS1l3cTAycjB4VmswZm03eW5KZS9VWTlhc0h2YThmcXEzVUpscjRjQTNMdjRZcW0yS3ZqWC9uQ1gvbFA5ZC83JiN4QTtaUi82aVlzVmZaV0t1eFZBYXA1aDBEU2VINlYxSzEwLzFQc2ZXcDQ0ZVh5OVJscmlxdHArcDZicU51TG5UN3VHOHR6MG10NUZsUTdWJiN4QTsrMGhJeFY4cWY4NXgvd0RIVjhvLzhZTDMvaWNPS3ZxVFZmTVhsL1NDZzFYVTdUVHpKL2RpNm5qaDVmTDFHV3ZURlVYYTNkcmR3SmNXJiN4QTtrMGR4YnZ1azBUQjBZZXpLU0Rpcnp6V2ZLV3AybDAvMWFCN2kxWTFpYU1GaUFlekFiN1p5K3A3UHlRbDZSY2ZKZ1FtZmxMeXhmUlh5JiN4QTszOTdHWVZpcjZVYmZhWmlLVkk3QVpsOW5hR1lueHpGVWtCUC9BRFlzamVYcndJS3R4VW41QjFMZmhteDdRQk9HVmZqZEplWVp5YkJuJiN4QTtmNWZQTWRQdVZZMWlXVWVuOHl2eGZ3em9leHllQTkxc29zUzEwb2RhdmluVDE1UHY1R3VhYlYxNHNxL25GQlQvQU1pNktzMGphbk90JiN4QTtWaWJoYmcvejAzYjZLN1pzZXl0TFo4UTlPU1FHY1p2MlRzVmZIT3VlUi96Sy9JZjh3N3J6WjVTc0cxZnl0T3Npc1ZqYVNNV3NwRHRiJiN4QTszS3gvSEY2VEtDc25UWWVMTGlyMHJ5ci9BTTVrL2x2cWZwUmE3YTNtZzNEZjNraklMcTJVL3dER1NMOTcvd0Frc1ZlcGFOcC81WSthJiN4QTtMbVB6aHBObHBHclhydXJKcnNNRnZOY0NTSlFpMW40bVJYUlFGb1RWZW1Ldm0vejc1aTg0Zm5YK2NVLzVkYUZxTDZmNVUwNlNXSzdNJiN4QTtaWVJ2SGF0eHVMbVpWSTlXc253UktUeCt6MHFUaXJMdGMvNXdzOGxuUm5HZ2F2cUZ0cmtTRTI5eGRQRkpBOG9GUjZpSkVqS0NSMVZ2JiN4QTtoNjBiRlZmL0FKeHo4OCtlcjdROWY4bitjYmE3YTcwYTNrZXgxRzdTVG04UXJHOEx5T1BqTWJVNEd0U0Q3WXF3WC9uRVQvbEZmelAvJiN4QTtBT1lHMC81TTMyS3ByL3pneC8wMjMvYnIvd0N4ekZYMVZpcnlyL25LUC95UlBtYi9BS01mKzZoYjRxd1g4bXZ5dDh0Zm1ML3pqNTVlJiN4QTswdlgydVV0clMrdkxtSTJzaXh0ejlhVk55eXZ0Unppcnh6OGtQeW44citkZnpTMTd5eHJEM0s2YnB0dGR6VzdXOGlwTHlndTRZRTVNJiN4QTt5T0NPRWhydDF4Vm5INWs2ejVpODIrZnRJL0lqeVhmU1dQbDNSb29kS3VyamtTMHd0SUI2ejNESnc1cERFbkgwOWd6ZytLMFZadGUvJiN4QTs4NFcvbDYraE5hMldwNmhGcklUOTNxTXJ4eVIrclQ5cUFJbndWN0JnZjhyRlV0LzV4Vi9NRHpQRnIrdC9saDVubmU1dWRGRXBzWGxjJiN4QTt1OFJ0WmhCY1cvTTdzb1pnVThBRDJvQXF3djhBNXdsLzVUL1hmKzJVZitvbUxGWDJWaXJGdnpPbjg4UStTdFIvd05hQzc4elNxc1ZpJiN4QTtwZUdNUjgyQWVXczdSeDFSS2xRVDFwc2NWZUhmbDcvemliSHExZyt1Zm1uZFg4L21TOGtkcGJKYnBINEtDVlV6VHI2eGxkcWN2aGtvJiN4QTtCUUhldUtzRy9NankzZWY4NDlmbVBvbXMrVHRTdUpkTjFCR2xrc2JoNitva0xoWnJlYmdGV1NObGtIQWxhcWQrb0J4VlBQOEFuTnlaJiN4QTtKci95ZE5HYXh5VzE0Nkhwc3pRa1lxekxSLzhBbkVQUWRTdFAwbDU3MXZVdFU4MFh3RXVvWEVNeUtpeXNLbFZNa2Nydng2Y2lkNmJBJiN4QTtZcTgwZy94SC93QTQ3L25GWjZXTlJrdS9LR3F0SExNcjdKTGFTdjZUTzZmWVdlQXI5cGVvQTZLMU1WZmFHS3V4VnBsVjFLTUF5c0NHJiN4QTtVN2dnOVJnSXZaV09UZVF0SGttTHBKTkVoTmZTVWdnZXdKQk9heVhaT0ltd1NFY0tNMUc1c3ZMMmlrVzZoQ0FWdDA2bHBEM1BqNG5MJiN4QTtzMDRhYkY2Zmg3MTVQTTJabVlzeHF6R3BKNmtuT1dKdGc5TThvaEI1ZXRPUGNPVDgrYlZ6cXV6Z1BBaitPck1KeG1hbENhdnFVZW1hJiN4QTtUZTZsTEhKTkZZd1MzTHd3Z0dSMWhRdVZRTVZVc1F0QlVqZkZXRmZsVitkM2xEOHpHMUZOQ2h2TFdiVEJFMDhOK2tNYnNzM0lLMFlpJiN4QTtsbTVBRktONFZIamlxTzg0Zms5K1czbTZLVWExb05ySmN5ZzF2NFVFRjBEMlByUmNYTlBCaVI3WXErWlBJU2FsK1UzL0FEa3Uza3ZTJiN4QTtMMTczUmI2NmhzcmlKNk1YZ3VvbGxoYVFMUUNXRDFSVmdCME93RFV4Vk1QK2NZcFl0Sy9QL3dBMmFWcUI0YWpMRnFGdEVYQUR0TERlJiN4QTtvOGlDZzZsWTJiYmI0Y1ZmWHVLc1RzL3pDOGxlWkl0WDA3UWRZdDlSdmJLM2xhNmhnSllvQUNsU2FVKzF0MXhWODJmODRpZjhvcitaJiN4QTsvd0R6QTJuL0FDWnZzVlRYL25Cai9wdHYrM1gvQU5qbUt2cXJGWGxYL09VZi9raWZNMy9Sai8zVUxmRlVML3ppZi81SkxTUCtNOTUvJiN4QTsxRXZpcngvL0FKeFcvd0RKKytiditZSFVmKzZqYjRxeEJ2SnphNy96a3Q1aDh1WHVzemVYSjlSMWJVV3RyNkw3Wk1zanp3Umo0NHY3JiN4QTsxQ0tiN2tnWXE5ay82RkkxWC95NCtxLzhpMy83S01WVC93REt6L25HdTE4aWVkZjhVanpKTnE5MHNjME1zVXNBUXMwNEJMTko2c2hyJiN4QTszM0dLdklQK2NKZitVLzEzL3RsSC9xSml4VjlsWXE4NC9QNzh6Yno4dS95K2wxalQ0bGsxUzh1RTAvVDJrSEpJNXBVZVQxR1g5cmdrJiN4QTtURUR4cFhiRlhrbjVkZmtKcS81a2VYTEx6ajU4ODU2dGRTYXVobnQ3UzFtQU1jWlloYXlTaVZCWHJ3U01CZW1Ldk1QK2NqZnllOHEvJiN4QTtscHFHaDJ1ZzNkNWRmcEtLZVc1RjlKREl5K2t5S25IMG9vYUE4bTYxNllxekwvbk16L3BoZitZRzQvNWtZcSt2a2RKRVdTTmc2T0F5JiN4QTtPcHFDRHVDQ01WZkl2L09hVjNEcVBuVHl0b1ZuKysxT0sya0x3cnVhM2N5cEN2ekppTzN5OGNWZlhlS3V4VjJLdXhWNTk1OW5sZldFJiN4QTtoWW4wNG9sNEwycXhKSi9obk45clRKeTEwQVl5WTNtcll2UnZJN09kQlFNTmxrY0o4cTEvV1RuVDlsRStEOFN6Q2Y1c1V1SUJGRHVEJiN4QTsxR0t2bTN6Wi93QTR4K2FkQzgxUDV0L0tQV2swaTdabWY5R1RNWTFUbnU2UlNjWkVlTmovQUxybFdnOFR0aXJVay84QXpteE92MUw2JiN4QTt0WVcvSlFwMUZXMDZvUFFtbk45L2xIOHNWVDc4bC84QW5IUzk4dGVZcFBPdm5mVUYxbnpiSXp5UWNIZVNPR1NVRVNTdkpJRmFXVWhxJiN4QTtkS0x2U3V4Q3FsK2NmL09PMnI2ejVxVHo1K1grb3JwSG1wR1dXZUZtYUpKWlVGQkxISW9iaElWK0ZnUnhidlRlcXFRM3RwL3ptZnIxJiN4QTttZER1VXN0SWdsWDByalZvcGJPTjNVZ2drdEM4MGlmT09OVDRZcTlJL0o3OGtiRDh1UEtXb1dNYzR2OEFYdFdUL2NqZlVLSVNxTUlvJiN4QTtZMUpOSTA1bmM3c1NTZXdDckRQK2NmOEE4bGZQUGtqUXZPMW5yc1Z1ayt1MnNFT25pR1lTQXZISGNxM0lnZkR2T3VLc0kvTDc4bS8rJiN4QTtjbS95L3dEci93RGhkOU50UDBuNlAxejFKWUp1WG9jL1RwNmlOU25xdDB4Vm1IMUwvbk5ML2x2MHIvZ2JQL3FsaXFkYW41SS9PenpmJiN4QTsrVEhtWHl6NXduc1pQTTJvWE5zZE1kV2pqZ0Z2RFBCTXdkb0U2L3UzcDhPS3N5L0l6eU5yWGtqOHQ3RHk3ckxRdHFGdExjUEliZHk4JiN4QTtkSlpta1dqTXFIbzNoaXJBUHlRL0k3enA1Sy9OTFh2TStzUFp0cHVwVzEzRGJpM2xkNWVVOTNET25KV1JBQndqTmQrdUtwbitlUDhBJiN4QTt6anRGNTcxQ0x6TjVldmwwanpiYnFnTTdsMWl1UFNwNlJkNDZ2SEpIVDRaRkIyb0tiQ2lyRnJXeC93Q2MwYmV6WFNWdWJDUlVYMGsxJiN4QTthVjdSNVFvRkF4Wmh5WSs3Umx2SEZXZWZrcCtUV3QrU3J2VTlmOHk2L1ByWG1YV3FmWHVNc3B0aHhOYW5tUVpwT3dkbEhFYkt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These include, but are not restricted to:\n\u2022   Various automatic robotic systems (BRAVO NGS Workstation, Hamilton NGS Star)\n\u2022   Various systems for QC, quantification and fragment analyses (TapeStation, Quantification using fluorescent assay (Qubit, Quantit))\n\u2022   Instrumentation for real time PCR and ddPCR (BioRad qPCR)\n\u2022   Instrumentation for Multispectral imaging (Saphyr optical mapper)\n\u2022   Sequencing platforms:\no   Illumina (NovaSeq 6000, NovaSeq 6000 Dx, NovaSeq X)\no   Nanopore (PromethION \u201caccess via NGI\u201d)\no   PacBio (Revio)</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": 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Therefore, AI algorithms trained on such datasets could help clinical decision-making process for molecular-targeted therapies.</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": 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(https://www.scilifelab.se/units/cbcs/)\nThe infrastructure is part of Science for Life Laboratory (SciLifeLab) which is an academic collaboration between Swedish universities (including Karolinska Institutet) and a national research infrastructure with a focus on life science.\nChemical Biology Consortium Sweden (CBCS) is a national research infrastructure offering an extensive portfolio of services - from computational and organic chemistry to phenotypic small molecule screens in cells and model organisms, cell painting and functional precision medicine. The mission of CBCS is to provide a state-of-the-art platform and expertise for the generation of high-quality bioactive chemical tools (small organic molecules) for applications within life science research in general and with the ultimate goal to explore complex biology.\nOur units comprise compound handling labs (hosting the SciLifeLab Compound Collection of ca 350,000 molecules), screening labs (microtiter format liquid handling robotics and a wide range of plate readers), and chemistry labs (equipment and instrumentation for organic chemistry synthesis and analysis).\n\nThe service: Assay development & highthroughput screening\nWe provide expertise and technical support in the following areas:\no\tAccess to small-molecule compound libraries and robotic instrumentation.\no\tExpertise in assay development and automation. \no\tHigh-throughput screening: biochemical target-based, cell-based and phenotypic.\no\tHigh-throughput imaging technology.\no\tComputational chemistry and modelling. \no\tMedicinal chemistry expertise.                                  \no\tChemical Biology Platform.\n\nPerspective use case:\nPurpose\nThe Cell Painting technology can be used to visualize many cellular parameters simultaneously, using organelle-specific fluorescent dyes and high-content imaging. 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Development of new AI software for morphology profiling, cell segmentation for validation sets for functional perturbation assays are needed for future precision medicine. \nDescription of service/ technology:\nCell painting, high-content imaging, high-throughput screening\nDrug library design and delivery, cell culture and immunofluorescence staining\nDataset generation, data analysis\nAI software development\nExpected outcome:\nNew dataset generation to train AI algorithm on the different type of images generated.\nImprovement of AI algorithm.\n", "description_html": "<p>The Unit: Chemical Biology Consortium Sweden (https://www.scilifelab.se/units/cbcs/)\nThe infrastructure is part of Science for Life Laboratory (SciLifeLab) which is an academic collaboration between Swedish universities (including Karolinska Institutet) and a national research infrastructure with a focus on life science.\nChemical Biology Consortium Sweden (CBCS) is a national research infrastructure offering an extensive portfolio of services - from computational and organic chemistry to phenotypic small molecule screens in cells and model organisms, cell painting and functional precision medicine. 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This approach allows you to systematically visualize how cell morphologies react to certain stimuli, like chemical perturbations. It is thus possible to foresee in the near future that the CP technology is a valuable technology to create large systematic AI minable cell morphology resources and customized validation data sets for profiling small molecules and other treatment modalities. Development of new AI software for morphology profiling, cell segmentation for validation sets for functional perturbation assays are needed for future precision medicine. \nDescription of service/ technology:\nCell painting, high-content imaging, high-throughput screening\nDrug library design and delivery, cell culture and immunofluorescence staining\nDataset generation, data analysis\nAI software development\nExpected outcome:\nNew dataset generation to train AI algorithm on the different type of images generated.\nImprovement of AI algorithm.</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": 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readily available in assay-ready plates through acoustic nano-litre scale liquid dispensing or in 96-tube racks; compounds are stored at 10mM concentration in DMSO solution at - 20 \u00b0C under humidity control.\nWe provide:\no   Management, storage, and processing of solids and liquids.\no   Compound delivery and interface with key customers.\no   Performance of instruments and automation that support these operations.\no   Analytical techniques used for quality assurance.\no   Sample informatics, including registration and compound quality data.</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": 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"bccba829-e645-4b20-8501-56a5214f2c15", "description": "This service provides 2 types of analysis: \n- Ex vivo imaging study : Multiplex spatial distribution of molecular species in biological tissue\n- Profiling study: multiplex analysis in complex biological samples. \n\nIt includes: \n- Project design & feasibility study\n- Sample conservation, preparation and analysis using softwares such as Fleximaging & Flexcontrol\n- Data analysis with provision of a final report\n\nExamples: Evaluate or Compare AI system of an IVD-MD to mass spectrometric (MALDI) data of specific animal/human tissue\n\nKeywords: Mass Spectrometry; MALDI; ex vivo imaging study; profiling study", "description_html": "<p>This service provides 2 types of analysis: \n- Ex vivo imaging study : Multiplex spatial distribution of molecular species in biological tissue\n- Profiling study: multiplex analysis in complex biological samples. </p>\n<p>It includes: \n- Project design &amp; feasibility study\n- Sample conservation, preparation and analysis using softwares such as Fleximaging &amp; Flexcontrol\n- Data analysis with provision of a final report</p>\n<p>Examples: Evaluate or Compare AI system of an IVD-MD to mass spectrometric (MALDI) data of specific animal/human tissue</p>\n<p>Keywords: Mass Spectrometry; MALDI; ex vivo imaging study; profiling study</p>", "service_provider": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)", "service_provider_id": 518, "service_provider_logo": "", "service_provider_institution": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)", "service_provider_institution_id": 518, "service_provider_hierarchy": [{"id": 518, "name": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 65, "name": "Genomics & Omics"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per day", "full_price": "from 800-1000 EUR", "reduced_price": "from 560-700 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 360, "name": "P-Testing Laboratory (bioanalysis, wet lab, *-omics, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.laboratory_facilities", "tier2.verification_validation_testing"]}, {"id": 152, "name": "NMR spectrometry: Bruker Avance III 600 MHz", "unique_identifier": "480183ac-b883-461f-88cb-04ba70ce5251", "description": "Full-service metabolomics analysis in-vitro and ex-vivo using NMR spectroscopy. Proficiency in instrumentation performance, metabolomic measurement protocols and data analysis for clinical, academic and indystry applications.", "description_html": "<p>Full-service metabolomics analysis in-vitro and ex-vivo using NMR spectroscopy. Proficiency in instrumentation performance, metabolomic measurement protocols and data analysis for clinical, academic and indystry applications.</p>", "service_provider": "Univerzita Komenskeho V Bratislave (UK BA)", "service_provider_id": 520, "service_provider_logo": "", "service_provider_institution": "Univerzita Komenskeho V Bratislave (UK BA)", "service_provider_institution_id": 520, "service_provider_hierarchy": [{"id": 520, "name": "Univerzita Komenskeho V Bratislave (UK BA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 2, "name": "Data"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 65, "name": "Genomics & Omics"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per hour", "full_price": "from 76 EUR", "reduced_price": "from 68 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 360, "name": "P-Testing Laboratory (bioanalysis, wet lab, *-omics, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.laboratory_facilities"]}, {"id": 153, "name": "Flow cytometry", "unique_identifier": "dba80f10-18f6-4e0b-a575-b9b04048014e", "description": "Laboratory infrastructure includes flow cytometer/sorter FACS Aria II c, fluorescence microscope Olympus iX72, light microscope, BSL-2 laminar hoods, cell incubators, and electrophoretic equipment for Western blot. The laboratory develops and prepares unique in vitro models (3D and 2D cancer cell lines) derived from human tumor tissue. ", "description_html": "<p>Laboratory infrastructure includes flow cytometer/sorter FACS Aria II c, fluorescence microscope Olympus iX72, light microscope, BSL-2 laminar hoods, cell incubators, and electrophoretic equipment for Western blot. The laboratory develops and prepares unique in vitro models (3D and 2D cancer cell lines) derived from human tumor tissue. </p>", "service_provider": "Univerzita Komenskeho V Bratislave (UK BA)", "service_provider_id": 520, "service_provider_logo": "", "service_provider_institution": "Univerzita Komenskeho V Bratislave (UK BA)", "service_provider_institution_id": 520, "service_provider_hierarchy": [{"id": 520, "name": "Univerzita Komenskeho V Bratislave (UK BA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [{"id": 11, "name": "Oncology", "code": "ONCO"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per project", "full_price": "from 2400 EUR", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 360, "name": "P-Testing Laboratory (bioanalysis, wet lab, *-omics, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.laboratory_facilities"]}, {"id": 154, "name": "DNA & RNA analysis", "unique_identifier": "32a9ea4e-61e7-4bf6-8a94-7cbbed226374", "description": "(1) The laboratory provides microsatellite instability (MSI) in FFPE cancer tissue in low throughput screening methods, including PCR and fragment analysis. The service includes insight into technology, sample preparation, and partial or full bioinformatic data processing in GeneMapper v.6 software. (2) Next, the laboratory provides DNA methylation analysis in promoter regions of genes in low and medium throughput screening methods, including pyrosequencing and/or MS-MLPA and fragment analysis. The service includes insight into technology, sample preparation, and  partial or full bioinformatic data processing in Cofalyser.net softvare. (3) The laboratory also provides comparative genomic hybridization (CGH), as well as single nucleotide polymorphism (SNP) detection by microarray that enables identification of aneuploidies, microdeletions, microduplications, as well as other types of chromosomal aberrations across the genome. The service includes insight into technology, sample preparation, and  partial or full bioinformatic data processing. (4) The laboratory provides detection of single nucleotide variation from various types of samples by real-time PCR or Sanger sequencing. The method is also usefull for verification of whole genome sequencing results. The service includes insight into technology, sample preparation, and  partial or full bioinformatic data processing. (5) The laboratory also provides targeted sequencing of selected parts of the genome (e.g. TruSight Oncology 500 panel), followed by somatic or germline analysis. The service includes insight into technology, sample preparation, and  partial or full bioinformatic data processing in Pierian software with clinical interpretation.", "description_html": "<p>(1) The laboratory provides microsatellite instability (MSI) in FFPE cancer tissue in low throughput screening methods, including PCR and fragment analysis. The service includes insight into technology, sample preparation, and partial or full bioinformatic data processing in GeneMapper v.6 software. (2) Next, the laboratory provides DNA methylation analysis in promoter regions of genes in low and medium throughput screening methods, including pyrosequencing and/or MS-MLPA and fragment analysis. The service includes insight into technology, sample preparation, and  partial or full bioinformatic data processing in Cofalyser.net softvare. (3) The laboratory also provides comparative genomic hybridization (CGH), as well as single nucleotide polymorphism (SNP) detection by microarray that enables identification of aneuploidies, microdeletions, microduplications, as well as other types of chromosomal aberrations across the genome. The service includes insight into technology, sample preparation, and  partial or full bioinformatic data processing. (4) The laboratory provides detection of single nucleotide variation from various types of samples by real-time PCR or Sanger sequencing. The method is also usefull for verification of whole genome sequencing results. The service includes insight into technology, sample preparation, and  partial or full bioinformatic data processing. (5) The laboratory also provides targeted sequencing of selected parts of the genome (e.g. TruSight Oncology 500 panel), followed by somatic or germline analysis. The service includes insight into technology, sample preparation, and  partial or full bioinformatic data processing in Pierian software with clinical interpretation.</p>", "service_provider": "Univerzita Komenskeho V Bratislave (UK BA)", "service_provider_id": 520, "service_provider_logo": "", "service_provider_institution": "Univerzita Komenskeho V Bratislave (UK BA)", "service_provider_institution_id": 520, "service_provider_hierarchy": [{"id": 520, "name": "Univerzita Komenskeho V Bratislave (UK BA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [{"id": 11, "name": "Oncology", "code": "ONCO"}], "ontology_categories": [{"id": 11, "name": "Data Provisioning & Generation"}, {"id": 2, "name": "Data"}, {"id": 65, "name": "Genomics & Omics"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per project", "full_price": "150-2800 EUR", "reduced_price": "from 135 EUR", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 360, "name": "P-Testing Laboratory (bioanalysis, wet lab, *-omics, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.laboratory_facilities"]}, {"id": 155, "name": "RNA & miRNA gene expression", "unique_identifier": "2e14f53f-f205-4a98-8c1c-eab881a9267c", "description": "The laboratory provides detection of RNA expression in low, medium and high throughput screening methods, including real-time PCR or microarray (MA). In additon, it provides detection of miRNA expression in low, as well as in high throughput screening meethods, including real-time PCR (qPCR) or microarray (MA). The service includes insight into technology, sample preparation, and  partial or full bioinformatic data processing.", "description_html": "<p>The laboratory provides detection of RNA expression in low, medium and high throughput screening methods, including real-time PCR or microarray (MA). In additon, it provides detection of miRNA expression in low, as well as in high throughput screening meethods, including real-time PCR (qPCR) or microarray (MA). The service includes insight into technology, sample preparation, and  partial or full bioinformatic data processing.</p>", "service_provider": "Univerzita Komenskeho V Bratislave (UK BA)", "service_provider_id": 520, "service_provider_logo": "", "service_provider_institution": "Univerzita Komenskeho V Bratislave (UK BA)", "service_provider_institution_id": 520, "service_provider_hierarchy": [{"id": 520, "name": "Univerzita Komenskeho V Bratislave (UK BA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 11, "name": "Data Provisioning & Generation"}, {"id": 2, "name": "Data"}, {"id": 65, "name": "Genomics & Omics"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per project", "full_price": "110-1600 EUR", "reduced_price": "from 100 EUR", "popularity": 2, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 360, "name": "P-Testing Laboratory (bioanalysis, wet lab, *-omics, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.laboratory_facilities"]}, {"id": 156, "name": "Microbial identification", "unique_identifier": "531aea65-b359-46cc-a6d9-e758517ff0b0", "description": "Laboratory provides low or medium throughput screening of selected bacterial and/or viral strains from various sample material, including sample preparation to analysis by real-time PCR. The service includes insight into technology, sample preparation, and  partial or full bioinformatic data processing.", "description_html": "<p>Laboratory provides low or medium throughput screening of selected bacterial and/or viral strains from various sample material, including sample preparation to analysis by real-time PCR. The service includes insight into technology, sample preparation, and  partial or full bioinformatic data processing.</p>", "service_provider": "Univerzita Komenskeho V Bratislave (UK BA)", "service_provider_id": 520, "service_provider_logo": "", "service_provider_institution": "Univerzita Komenskeho V Bratislave (UK BA)", "service_provider_institution_id": 520, "service_provider_hierarchy": [{"id": 520, "name": "Univerzita Komenskeho V Bratislave (UK BA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [{"id": 36, "name": "Infectious Disease", "code": "INFD"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per project", "full_price": "110-440 EUR", "reduced_price": "from 100 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 360, "name": "P-Testing Laboratory (bioanalysis, wet lab, *-omics, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.laboratory_facilities"]}, {"id": 157, "name": "Cell cultures analysis", "unique_identifier": "9fcfe7f0-cc75-4d1f-97e8-8b4d50742098", "description": "Expertise in vitro cultivation various types of cells (human and animal), molecular analysis, imaging protocols and analysis, study design, full service measurement, academic applications. Cell culture laboratory equipment includes BSL-2 flow boxes, CO2 incubators, light microscope, cell counter; molecular laboratory equipment (RT-PCR thermocyclers, agarose/SDS-PAGE apparatus and Western blot transfers, Elisa plate reader), cellular analysis (cellular processes analyzer, fluorescent microscopy scanner.", "description_html": "<p>Expertise in vitro cultivation various types of cells (human and animal), molecular analysis, imaging protocols and analysis, study design, full service measurement, academic applications. Cell culture laboratory equipment includes BSL-2 flow boxes, CO2 incubators, light microscope, cell counter; molecular laboratory equipment (RT-PCR thermocyclers, agarose/SDS-PAGE apparatus and Western blot transfers, Elisa plate reader), cellular analysis (cellular processes analyzer, fluorescent microscopy scanner.</p>", "service_provider": "Univerzita Komenskeho V Bratislave (UK BA)", "service_provider_id": 520, "service_provider_logo": "", "service_provider_institution": "Univerzita Komenskeho V Bratislave (UK BA)", "service_provider_institution_id": 520, "service_provider_hierarchy": [{"id": 520, "name": "Univerzita Komenskeho V Bratislave (UK BA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 11, "name": "Analytical study", "number": 2}, {"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}], "medical_domains": [], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per project", "full_price": "from 630 EUR", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 360, "name": "P-Testing Laboratory (bioanalysis, wet lab, *-omics, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.imaging_facilities", "tier2.laboratory_facilities"]}, {"id": 158, "name": "Pharmaceutical development", "unique_identifier": "615a42dc-c99b-44e9-b757-23878146c154", "description": "RISE Research Institutes of Sweden AB in S\u00f6dert\u00e4lje works with pharmaceutical R&D including preclinical research of new candidate drugs.\nFrom design to production in the same testbed:\n- Preclinical in-vitro and in-vivo studies to study target and non-target toxicology. \n- Drug formulation and new therapies with small molecules, biologics  including proteins, oligonucleotides, peptides, mRNA, DNA etc. \n- Chemical Process 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9001", "certification_support_legacy": "Medical Device Regulation ; ISO 14155:2020", "service_standards": [{"id": 19, "name": "Clinical research center: GCP", "code": false}, {"id": 6, "name": "ISO 9001", "code": false}], "certification_ids": [{"id": 10, "name": "ISO 14155", "code": false}, {"id": 1, "name": "MDR", "code": false}], "offering_ids": [{"id": 361, "name": "P-Testing Imaging (MRI, MEG, PET, CT, Microscopy, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.imaging_facilities"]}, {"id": 175, "name": "MRI Imaging data acquisition (Human, clinical)", "unique_identifier": "1b337507-5539-45c1-b630-8503c5773e3a", "description": "Neuro Imaging platform includes: \n-MEG/EEG (Elekta Neuromag) : 204 gradiometers, 102 magnetometers, 128 EEG channels.\n- MRI/MEG-compatible EEG amplifier (Brain Products) : 64 channels. \n- MRI 1.5T (Siemens Espree)\n- Audio, visual and sensitive stimulation equipment\n- Dedicated HPC workstation for real-time signal processing\n\nThe service offers to conduct a clinical study with MEG/EEG/MRI Imaging to generate new brain-related data:\n- Data acquisition & analysis +/- technical expertise.\n- Clinical and regulatory support to set up and submit the clinical study within French regulatory framework.\n- Example: provide new clinical data to assess/validate the performance/robustness of an AI system in a specific intended use \n\n\nKeywords: Neuro Imaging; MRI; MEG; imaging data acquisition", "description_html": "<p>Neuro Imaging platform includes: \n-MEG/EEG (Elekta Neuromag) : 204 gradiometers, 102 magnetometers, 128 EEG channels.\n- MRI/MEG-compatible EEG amplifier (Brain Products) : 64 channels. \n- MRI 1.5T (Siemens Espree)\n- Audio, visual and sensitive stimulation equipment\n- Dedicated HPC workstation for real-time signal processing</p>\n<p>The service offers to conduct a clinical study with MEG/EEG/MRI Imaging to generate new brain-related data:\n- Data acquisition &amp; analysis +/- technical expertise.\n- Clinical and regulatory support to set up and submit the clinical study within French regulatory framework.\n- Example: provide new clinical data to assess/validate the performance/robustness of an AI system in a specific intended use </p>\n<p>Keywords: Neuro Imaging; MRI; MEG; imaging data acquisition</p>", "service_provider": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)", "service_provider_id": 518, "service_provider_logo": "", "service_provider_institution": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)", "service_provider_institution_id": 518, "service_provider_hierarchy": [{"id": 518, "name": "Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 10, "name": "Neurology", "code": "NEUR"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 11, "name": "Data Provisioning & 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14155", "code": false}, {"id": 1, "name": "MDR", "code": false}], "offering_ids": [{"id": 361, "name": "P-Testing Imaging (MRI, MEG, PET, CT, Microscopy, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.imaging_facilities"]}, {"id": 176, "name": "7T MRI Imaging data acquisition (Clinical)", "unique_identifier": "17674997-a04d-4b77-8247-e0e1ed268adc", "description": "Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.\n\nThe core facility, MRI Centre, aims to catalyse novel and translational research using MRI. A unique next-generation clinical 7 Tesla Siemens MAGNETOM Terra.X. equipped with an ultra-high field scanner also offers cutting-edge gradient performance (130 mT/m at 250 T/m/s), parallel transmission, as well as deep learning-based acceleration and denoising for improved image quality. Micrometre resolution in vivo for microstructural imaging and layered fMRI. We support all types of MRI studies in humans, ranging from small single-centre projects to large-scale international multi-centre studies. A special focus is on offering MRI suitable for multi-modal integration such as CT, PET, EEG and MEG. The KI MRI Centre also offers a full-service lab for drawing blood and investigating psychophysiology (EDA, PPG, Eye-tracking) along with standardised image post-processing and data storage facilities with cluster computing for data analysis. In this service, we offer full support in project consultation, ethical permits and module technical support.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/mrc", "description_html": "<p>Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.</p>\n<p>The core facility, MRI Centre, aims to catalyse novel and translational research using MRI. A unique next-generation clinical 7 Tesla Siemens MAGNETOM Terra.X. equipped with an ultra-high field scanner also offers cutting-edge gradient performance (130 mT/m at 250 T/m/s), parallel transmission, as well as deep learning-based acceleration and denoising for improved image quality. Micrometre resolution in vivo for microstructural imaging and layered fMRI. We support all types of MRI studies in humans, ranging from small single-centre projects to large-scale international multi-centre studies. A special focus is on offering MRI suitable for multi-modal integration such as CT, PET, EEG and MEG. The KI MRI Centre also offers a full-service lab for drawing blood and investigating psychophysiology (EDA, PPG, Eye-tracking) along with standardised image post-processing and data storage facilities with cluster computing for data analysis. In this service, we offer full support in project consultation, ethical permits and module technical support.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/mrc</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "Per scan", "full_price": "2240 EUR", "reduced_price": "1140 EUR", "popularity": 0, "service_standard_legacy": "\u00a0", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 361, "name": "P-Testing Imaging (MRI, MEG, PET, CT, Microscopy, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.imaging_facilities"]}, {"id": 177, "name": "3T MRI  Imaging data acquisition (Clinical)", "unique_identifier": "946002d4-08c7-4a26-8ebb-3fc918cb7602", "description": "Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.\n\nThe core facility, MRI Centre, aims to catalyse novel and translational research using MRI. We offer a state-of-the-art 3 Tesla GE SIGNA Premier system-wide bore gantry and high-performance XT gradients. We support all types of MRI studies in humans, ranging from small single-centre projects to large-scale international multi-centre studies. A special focus is on offering MRI suitable for multi-modal integration such as CT, PET, EEG and MEG. The KI MRI Centre also offers a full-service lab for drawing blood and investigating psychophysiology (EDA, PPG, Eye-tracking) along with standardised image post-processing and data storage facilities with cluster computing for data analysis. In this service, we offer full support in project consultation, ethical permits and module technical support.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/mrc", "description_html": "<p>Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.</p>\n<p>The core facility, MRI Centre, aims to catalyse novel and translational research using MRI. We offer a state-of-the-art 3 Tesla GE SIGNA Premier system-wide bore gantry and high-performance XT gradients. We support all types of MRI studies in humans, ranging from small single-centre projects to large-scale international multi-centre studies. A special focus is on offering MRI suitable for multi-modal integration such as CT, PET, EEG and MEG. The KI MRI Centre also offers a full-service lab for drawing blood and investigating psychophysiology (EDA, PPG, Eye-tracking) along with standardised image post-processing and data storage facilities with cluster computing for data analysis. In this service, we offer full support in project consultation, ethical permits and module technical support.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/mrc</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "Per scan", "full_price": "2080 EUR", "reduced_price": "1050 EUR", "popularity": 2, "service_standard_legacy": "\u00a0", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 361, "name": "P-Testing Imaging (MRI, MEG, PET, CT, Microscopy, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.imaging_facilities"]}, {"id": 178, "name": "3T MRI  Imaging data acquisition (Pre-clinical, Large animal)", "unique_identifier": "fee38e9a-1fe0-4f22-ab07-a60699076675", "description": "Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.\n\nThe core facilities, Karolinska Experimental Research and Imaging Centre (KERIC) and the MRI Centre, aim to catalyse novel and translatory research using MRI. At KERIC, we offer a 9.4T MRI for animals such as rabbits and small piglets (see service for small animal 9.4T MRI). A state-of-the-art 3 Tesla GE SIGNA Premier system-wide bore gantry and high-performance XT gradients are available for large animal preclinical studies. We offer specialised services for large animal models as well as ex vivo imaging and support all types of MRI studies in humans, ranging from small single-centre projects to large-scale international multi-centre studies. A special focus is on offering MRI suitable for multi-modal integration such as CT, PET, EEG and MEG. The KI MRI Centre also offers a full-service lab for drawing blood and investigating psychophysiology (EDA, PPG, Eye-tracking) along with standardised image post-processing and data storage facilities with cluster computing for data analysis. In this service, we offer full support in project consultation, ethical permits, module technical support and animal technicians.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/mrc\nOr  https://imagingresearch.se/facilities/corefacilities/keric", "description_html": "<p>Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.</p>\n<p>The core facilities, Karolinska Experimental Research and Imaging Centre (KERIC) and the MRI Centre, aim to catalyse novel and translatory research using MRI. At KERIC, we offer a 9.4T MRI for animals such as rabbits and small piglets (see service for small animal 9.4T MRI). A state-of-the-art 3 Tesla GE SIGNA Premier system-wide bore gantry and high-performance XT gradients are available for large animal preclinical studies. We offer specialised services for large animal models as well as ex vivo imaging and support all types of MRI studies in humans, ranging from small single-centre projects to large-scale international multi-centre studies. A special focus is on offering MRI suitable for multi-modal integration such as CT, PET, EEG and MEG. The KI MRI Centre also offers a full-service lab for drawing blood and investigating psychophysiology (EDA, PPG, Eye-tracking) along with standardised image post-processing and data storage facilities with cluster computing for data analysis. In this service, we offer full support in project consultation, ethical permits, module technical support and animal technicians.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/mrc\nOr  https://imagingresearch.se/facilities/corefacilities/keric</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "Per scan", "full_price": "4340 EUR", "reduced_price": "2200 EUR", "popularity": 0, "service_standard_legacy": "\u00a0", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 361, "name": "P-Testing Imaging (MRI, MEG, PET, CT, Microscopy, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.imaging_facilities"]}, {"id": 179, "name": "9.4T MRI Imaging data acquisition (Pre-clinical, Small animal )", "unique_identifier": "2051a873-033d-4dc5-9570-99f4576698d8", "description": "Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.\n\nThe core facility Karolinska Experimental Research and Imaging Centre (KERIC), we have a preclinical 9.4T Bruker USR 94/30 MRI system. The state-of-the-art 9.4T MRI is equipped with single-mouse, single-rat, or double-mouse beds. It has three gradient bore sizes to arrange an effective inner diameter of 20cm (large animals), 12cm (medium animals) or 6cm (small animals). Methods in anatomical imaging, fMRI, Ex vivo, Pharmacological MRI and Cardiac imaging (CINE). For the mouse brain, a 4-channel phased array cry-coil drastically increased signal-to-noise. In this service, we offer full support in project consultation, ethical permits, module technical support, animal technicians and data analysis. We can host animals directly or indirectly through collaboration within KU (AKM) and other animal labs.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/keric", "description_html": "<p>Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.</p>\n<p>The core facility Karolinska Experimental Research and Imaging Centre (KERIC), we have a preclinical 9.4T Bruker USR 94/30 MRI system. The state-of-the-art 9.4T MRI is equipped with single-mouse, single-rat, or double-mouse beds. It has three gradient bore sizes to arrange an effective inner diameter of 20cm (large animals), 12cm (medium animals) or 6cm (small animals). Methods in anatomical imaging, fMRI, Ex vivo, Pharmacological MRI and Cardiac imaging (CINE). For the mouse brain, a 4-channel phased array cry-coil drastically increased signal-to-noise. In this service, we offer full support in project consultation, ethical permits, module technical support, animal technicians and data analysis. We can host animals directly or indirectly through collaboration within KU (AKM) and other animal labs.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/keric</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "Per scan", "full_price": "3580 EUR", "reduced_price": "2110 EUR", "popularity": 0, "service_standard_legacy": "\u00a0", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 361, "name": "P-Testing Imaging (MRI, MEG, PET, CT, Microscopy, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.imaging_facilities"]}, {"id": 182, "name": "PET-MRI 9.4T  Imaging data acquisition (Pre-clinical, Small animal)", "unique_identifier": "c9d79911-da09-405f-9c35-ca010c6a9972", "description": "Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.\n\nThe core facility Karolinska Experimental Research and Imaging Centre (KERIC), we have a preclinical 9.4T Bruker USR 94/30 MRI combined with Mediso nanoScan PET-CT systems for small-animal imaging equipped with single-mouse, singe-rat, or double-mouse beds. The PET module has a spatial resolution of 0.8mm. The state-of-the-art 9.4T MRI is equipped with three gradient bore sizes to arrange an effective inner diameter of 20cm (large animals), 12cm (medium animals) or 6cm (small animals). Methods in anatomical imaging, fMRI, Ex vivo, Pharmacological MRI and Cardiac imaging (CINE). For the mouse brain, a 4-channel phased array cry-coil drastically increased signal-to-noise. KERIC collaborates closely with the Radio Pharmacy Core Facility (RCF), which allows us to deliver freshly produced radioactive ligands within a minimum time frame. In this service, we offer full support in project consultation, ethical permits, module technical support, animal technicians and data analysis. We can host animals directly or indirectly through collaboration within KU (AKM) and other animal labs.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/keric", "description_html": "<p>Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.</p>\n<p>The core facility Karolinska Experimental Research and Imaging Centre (KERIC), we have a preclinical 9.4T Bruker USR 94/30 MRI combined with Mediso nanoScan PET-CT systems for small-animal imaging equipped with single-mouse, singe-rat, or double-mouse beds. The PET module has a spatial resolution of 0.8mm. The state-of-the-art 9.4T MRI is equipped with three gradient bore sizes to arrange an effective inner diameter of 20cm (large animals), 12cm (medium animals) or 6cm (small animals). Methods in anatomical imaging, fMRI, Ex vivo, Pharmacological MRI and Cardiac imaging (CINE). For the mouse brain, a 4-channel phased array cry-coil drastically increased signal-to-noise. KERIC collaborates closely with the Radio Pharmacy Core Facility (RCF), which allows us to deliver freshly produced radioactive ligands within a minimum time frame. In this service, we offer full support in project consultation, ethical permits, module technical support, animal technicians and data analysis. We can host animals directly or indirectly through collaboration within KU (AKM) and other animal labs.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/keric</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "Per scan", "full_price": "4920 EUR", "reduced_price": "3400 EUR", "popularity": 0, "service_standard_legacy": "\u00a0", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 361, "name": "P-Testing Imaging (MRI, MEG, PET, CT, Microscopy, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.imaging_facilities"]}, {"id": 183, "name": "PET-CT imaging Imaging data acquisition (Clinical)", "unique_identifier": "971b76dd-5a8d-4d1e-af82-fe7e46474bba", "description": "Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.\n\nThe core facility, the Brain Molecular Imaging Centre (BMIC), supports both clinical and pre-clinical research studies involving PET experiments. For human PET/CT imaging, the GE Discovery MI 5 PET/CT is a whole-body PET system designed for increased field of view to enable exceptionally high sensitivity, allowing AI deep learning image reconstruction. The PET system is mainly used in humans but can also be used for larger animals such as pigs. The system specifications are Transaxial FOV: 70 cm, Axial FOV: 25 cm, Spatial resolution: ~5 mm. Radiopharmacy CF, we then provide full service in conducting PET experiments. Our highly trained staff is comprised of PET camera operators, medical physicists, research nurses and physicians, as well as specialised staff conducting experiments in animals.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/bmic", "description_html": "<p>Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.</p>\n<p>The core facility, the Brain Molecular Imaging Centre (BMIC), supports both clinical and pre-clinical research studies involving PET experiments. For human PET/CT imaging, the GE Discovery MI 5 PET/CT is a whole-body PET system designed for increased field of view to enable exceptionally high sensitivity, allowing AI deep learning image reconstruction. The PET system is mainly used in humans but can also be used for larger animals such as pigs. The system specifications are Transaxial FOV: 70 cm, Axial FOV: 25 cm, Spatial resolution: ~5 mm. Radiopharmacy CF, we then provide full service in conducting PET experiments. Our highly trained staff is comprised of PET camera operators, medical physicists, research nurses and physicians, as well as specialised staff conducting experiments in animals.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/bmic</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "Per scan", "full_price": "9360 EUR", "reduced_price": "5900 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 361, "name": "P-Testing Imaging (MRI, MEG, PET, CT, Microscopy, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.imaging_facilities"]}, {"id": 184, "name": "PET-CT imaging data acquisition (Pre-clinical, Large animal)", "unique_identifier": "343b0148-6c09-492f-ac6f-87068dacf671", "description": "Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.\n\nThe core facility, the Brain Molecular Imaging Centre (BMIC), supports clinical and pre-clinical research studies involving PET experiments. For large animal preclinical studies: the GE Discovery MI 5 PET/CT is a whole-body PET system designed for increased field of view to enable exceptionally high sensitivity, allowing AI, deep learning image reconstruction. The PET system is mainly used in humans and larger animals such as pigs. The system specifications are Transaxial FOV: 70 cm, Axial FOV: 25 cm, Spatial resolution: ~5 mm. Radiopharmacy CF, we then provide full service in conducting PET experiments. In this service, we offer our highly trained staff comprising PET camera operators, medical physicists, research nurses and physicians, as well as specialised staff conducting experiments with animals.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/bmic", "description_html": "<p>Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.</p>\n<p>The core facility, the Brain Molecular Imaging Centre (BMIC), supports clinical and pre-clinical research studies involving PET experiments. For large animal preclinical studies: the GE Discovery MI 5 PET/CT is a whole-body PET system designed for increased field of view to enable exceptionally high sensitivity, allowing AI, deep learning image reconstruction. The PET system is mainly used in humans and larger animals such as pigs. The system specifications are Transaxial FOV: 70 cm, Axial FOV: 25 cm, Spatial resolution: ~5 mm. Radiopharmacy CF, we then provide full service in conducting PET experiments. In this service, we offer our highly trained staff comprising PET camera operators, medical physicists, research nurses and physicians, as well as specialised staff conducting experiments with animals.\nFor more information, visit the website: https://imagingresearch.se/facilities/corefacilities/bmic</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "Per scan", "full_price": "6580 EUR", "reduced_price": "2680 EUR", "popularity": 0, "service_standard_legacy": "\u00a0", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 361, "name": "P-Testing Imaging (MRI, MEG, PET, CT, Microscopy, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.imaging_facilities"]}, {"id": 185, "name": "PET-CT imaging data acquisition (Pre-clinical, Small animal)", "unique_identifier": "7d0d9a6d-4edc-465c-a9e0-2f0303a8d94f", "description": "Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.\n\nThe core facility Karolinska Experimental Research and Imaging Centre (KERIC), has two PET-CT systems for animal imaging (Mediso nanoScan PET-CT). They are equipped with single-mouse, single-rat, or double-mouse beds. Four mice can be run simultaneously with exceptional image quality. The PET modules (spatial resolution 0.8mm) and a CT module (min. voxel size: 10-34 \u00b5m). KERIC collaborates closely with the Radio Pharmacy Core Facility (RCF), which allows us to deliver freshly produced radioactive ligands within a minimum time frame. In this service, we offer full support in project consultation, ethical permits, module technical support, animal technicians and data analysis. We can host animals directly or indirectly through collaboration within KU (AKM) and other animal labs.\nFor more information, visit the website: https://ki.se/en/research/pet", "description_html": "<p>Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.</p>\n<p>The core facility Karolinska Experimental Research and Imaging Centre (KERIC), has two PET-CT systems for animal imaging (Mediso nanoScan PET-CT). They are equipped with single-mouse, single-rat, or double-mouse beds. Four mice can be run simultaneously with exceptional image quality. The PET modules (spatial resolution 0.8mm) and a CT module (min. voxel size: 10-34 \u00b5m). KERIC collaborates closely with the Radio Pharmacy Core Facility (RCF), which allows us to deliver freshly produced radioactive ligands within a minimum time frame. In this service, we offer full support in project consultation, ethical permits, module technical support, animal technicians and data analysis. We can host animals directly or indirectly through collaboration within KU (AKM) and other animal labs.\nFor more information, visit the website: https://ki.se/en/research/pet</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 64, "name": "Facility Access (OR, Lab, Imaging Suite)"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "Per scan", "full_price": "5180 EUR", "reduced_price": "2110 EUR", "popularity": 0, "service_standard_legacy": "\u00a0", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 361, "name": "P-Testing Imaging (MRI, MEG, PET, CT, Microscopy, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.imaging_facilities"]}, {"id": 187, "name": "OPM-MEG-EEG imaging data acquisition (Clinical)", "unique_identifier": "ccb4523a-8efa-4750-a832-fb153051bc81", "description": "Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.\n\nThe core facility, neuronal brain activity using magnetoencephalography (NatMEG). NatMEG is Sweden's first and only research laboratory for whole-head measurements of neuronal brain activity using MEG. The state-of-the-art On-scalp MEG promises improved sensitivity and spatial precision compared to traditional cryogenic MEG. The system uses 128 novel optically pumped magnetometer (OPM) sensors and will be the first of its kind in the world. It includes 32 digital trigger channels, 8 bipolar analogue input and 8 bipolar output channels that are recorded along with the MEG data with integrated 128-channel EEG for simultaneous measurement. Due to the flexibility of OPMs, the sensors can also be used to record other electrophysiological signals, such as magnetocardiography (MCG), magnetomyography (MMG) and magnetoretinography (MRG). All MEG recordings are done inside a Vacuumschmelze GmbH Ak3B magnetically shielded room (MSR) with 2 high-permeability layers. The inside dimensions of the MSR are approximately 3m x 4m x 2.5m. In this service, we offer full support in project consultation, ethical permits and module technical support.\nFor more information, visit the website: https://www.natmeg.se/", "description_html": "<p>Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques.</p>\n<p>The core facility, neuronal brain activity using magnetoencephalography (NatMEG). NatMEG is Sweden's first and only research laboratory for whole-head measurements of neuronal brain activity using MEG. The state-of-the-art On-scalp MEG promises improved sensitivity and spatial precision compared to traditional cryogenic MEG. The system uses 128 novel optically pumped magnetometer (OPM) sensors and will be the first of its kind in the world. It includes 32 digital trigger channels, 8 bipolar analogue input and 8 bipolar output channels that are recorded along with the MEG data with integrated 128-channel EEG for simultaneous measurement. Due to the flexibility of OPMs, the sensors can also be used to record other electrophysiological signals, such as magnetocardiography (MCG), magnetomyography (MMG) and magnetoretinography (MRG). All MEG recordings are done inside a Vacuumschmelze GmbH Ak3B magnetically shielded room (MSR) with 2 high-permeability layers. The inside dimensions of the MSR are approximately 3m x 4m x 2.5m. 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"service_standard_legacy": "", "certification_support_legacy": "\u00a0", "service_standards": [{"id": 36, "name": "Artificial Intelligence Act", "code": false}, {"id": 38, "name": "Belgian national laws", "code": false}, {"id": 35, "name": "EU regulations: Medical Devices", "code": false}, {"id": 37, "name": "GDPR", "code": false}, {"id": 34, "name": "IATA", "code": false}, {"id": 33, "name": "International regulations: Good Clinical Practice (ICH-GCP)", "code": false}], "certification_ids": [], "offering_ids": [{"id": 362, "name": "C-Clinical Investigation  Support", "domain": "Clinical"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.integration_hcs"]}, {"id": 214, "name": "DPM-Research: Your Digital Study Office", "unique_identifier": "6bd3ddfc-dde4-4010-88f1-47288a8e8fff", "description": "**Platform:**\r\n[DPM-Research](https://www.iis.fraunhofer.de/de/ff/sse/health/mobile-health-lab/managementsystem-klinische-studien.html): A customizable eCRF platform that streamlines data and patient management and documentation in clinical studies, aligned with international standards and data protection regulations.\r\n\r\n**Who Can Benefit:**\r\n- Clinical Researchers: For streamlined data management processes that support robust research methodologies and regulatory compliance.\r\n- Regulatory Compliance Specialists: To ensure that clinical studies adhere to required international and local regulations, minimizing risk and enhancing credibility.\r\n- Healthcare Organizations: To manage clinical data effectively, improving research outcomes and operational efficiencies.\r\n\r\n**Key Features:**\r\n- Customized Data Management Solution: Provides a tailored data management and documentation platform designed to support clinical research studies.\r\n- eCRF Platform: Offers an electronic Case Report Form (eCRF) system customized for collecting and managing clinical research data efficiently.\r\n- Compliance with Standards: Ensures all studies are conducted in compliance with ISO 14155 and GDPR (DS-GVO), guaranteeing high standards in clinical investigation and data protection.\r\n\r\n**Possible Applications:**\r\n- Clinical Studies: Supports the management of clinical trial and patient data, ensuring accuracy, integrity, and regulatory compliance throughout the research lifecycle.\r\n- Data Documentation: Facilitates comprehensive data collection and documentation, improving the reliability and reproducibility of clinical research findings.\r\n\r\n**Who we are:**\r\nThe **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **\"Center for Sensor Technology and Digital Medicine\" (CEMDIS)** in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support  **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).", "description_html": "<p><strong>Platform:</strong>\n<a href=\"https://www.iis.fraunhofer.de/de/ff/sse/health/mobile-health-lab/managementsystem-klinische-studien.html\">DPM-Research</a>: A customizable eCRF platform that streamlines data and patient management and documentation in clinical studies, aligned with international standards and data protection regulations.</p>\n<p><strong>Who Can Benefit:</strong>\n- Clinical Researchers: For streamlined data management processes that support robust research methodologies and regulatory compliance.\n- Regulatory Compliance Specialists: To ensure that clinical studies adhere to required international and local regulations, minimizing risk and enhancing credibility.\n- Healthcare Organizations: To manage clinical data effectively, improving research outcomes and operational efficiencies.</p>\n<p><strong>Key Features:</strong>\n- Customized Data Management Solution: Provides a tailored data management and documentation platform designed to support clinical research studies.\n- eCRF Platform: Offers an electronic Case Report Form (eCRF) system customized for collecting and managing clinical research data efficiently.\n- Compliance with Standards: Ensures all studies are conducted in compliance with ISO 14155 and GDPR (DS-GVO), guaranteeing high standards in clinical investigation and data protection.</p>\n<p><strong>Possible Applications:</strong>\n- Clinical Studies: Supports the management of clinical trial and patient data, ensuring accuracy, integrity, and regulatory compliance throughout the research lifecycle.\n- Data Documentation: Facilitates comprehensive data collection and documentation, improving the reliability and reproducibility of clinical research findings.</p>\n<p><strong>Who we are:</strong>\nThe <strong>Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)</strong> has established the <strong>Center for Sensor Technology and Digital Medicine (CEMDIS)</strong> in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through <strong>innovative sensor technology</strong> and <strong>digital solutions</strong>. This center focuses on integrating <strong>innovative medical technologies</strong> such as <strong>wearables</strong> and <strong>robotic systems</strong> to support  <strong>medical diagnostics</strong>, <strong>patient monitoring</strong> and <strong>evaluating patient-specific therapies</strong> by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the <strong>development</strong>, <strong>integration</strong>, and <strong>validation</strong> of novel health technologies, providing companies opportunities for <strong>technological advancements</strong>. For more information, visit the <a href=\"https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html\">Fraunhofer IIS website</a>.</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "physical", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}, {"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 61, "name": "Clinical Research Unit Services"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 36, "name": "Privacy & Anonymization"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "97 - 160EUR", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 346, "name": "V-Software (development, maintenance, deployment, administration, etc.)", "domain": "Software"}, {"id": 362, "name": "C-Clinical Investigation  Support", "domain": "Clinical"}, {"id": 363, "name": "V-Platform (trusted research environment, authentication federation, etc.)", "domain": "Platform"}, {"id": 364, "name": "V-Infrastructure (compute, storage, network, HPC, etc.)", "domain": "Infrastructure"}, {"id": 370, "name": "C-Clinical Investigation Support (coordination, design, feasibility, documentation,compliance, operations support, etc.)", "domain": "Clinical"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study"]}, {"id": 215, "name": "Clinical Feasibility Assessment & Real-World Validation", "unique_identifier": "365cf9e0-7233-40e8-8a8c-ab7202ab819f", "description": "**Who Can Benefit:**\r\n- Clinical Researchers and Investigators: For gaining insights into the feasibility of proposed studies and enhancing study designs with practical clinical input.\r\n- Healthcare Institutions: To expand research capabilities by connecting with technical and clinical experts and facilities.\r\n- Research and Development Teams: For testing new technologies or methodologies in applicable clinical contexts, ensuring innovative solutions are viable and effective.\r\n\r\n**Key Features:**\r\n- Technical Feasibility Assessment: Organizes and conducts comprehensive technical feasibility studies to evaluate the practicality and potential of clinical research projects.\r\n- Connection to Clinical Personnel: Facilitates collaboration between researchers and clinical experts at University Clinic Erlangen, ensuring access to expertise and resources necessary for study success.\r\n- Access to Real-Life and Laboratory Test Environments: Provides opportunities to conduct studies within associated clinics, leveraging previous experience in cardiology, neurology, and biomechanics to ensure practical and applicable results.\r\n\r\n**Possible Applications:**\r\n- Project Feasibility Evaluation: Assists in determining the feasibility of clinical research projects, helping to identify potential challenges and solutions early in the development phase.\r\n- Research Collaboration: Enhances research outcomes through the integration of clinical expertise and real-world testing environments, ensuring studies are rooted in clinical reality.\r\n\r\n**Who We Are:**\r\nThe **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **\"Center for Sensor Technology and Digital Medicine\" (CEMDIS)** in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support  **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).", "description_html": "<p><strong>Who Can Benefit:</strong>\n- Clinical Researchers and Investigators: For gaining insights into the feasibility of proposed studies and enhancing study designs with practical clinical input.\n- Healthcare Institutions: To expand research capabilities by connecting with technical and clinical experts and facilities.\n- Research and Development Teams: For testing new technologies or methodologies in applicable clinical contexts, ensuring innovative solutions are viable and effective.</p>\n<p><strong>Key Features:</strong>\n- Technical Feasibility Assessment: Organizes and conducts comprehensive technical feasibility studies to evaluate the practicality and potential of clinical research projects.\n- Connection to Clinical Personnel: Facilitates collaboration between researchers and clinical experts at University Clinic Erlangen, ensuring access to expertise and resources necessary for study success.\n- Access to Real-Life and Laboratory Test Environments: Provides opportunities to conduct studies within associated clinics, leveraging previous experience in cardiology, neurology, and biomechanics to ensure practical and applicable results.</p>\n<p><strong>Possible Applications:</strong>\n- Project Feasibility Evaluation: Assists in determining the feasibility of clinical research projects, helping to identify potential challenges and solutions early in the development phase.\n- Research Collaboration: Enhances research outcomes through the integration of clinical expertise and real-world testing environments, ensuring studies are rooted in clinical reality.</p>\n<p><strong>Who We Are:</strong>\nThe <strong>Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)</strong> has established the <strong>Center for Sensor Technology and Digital Medicine (CEMDIS)</strong> in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through <strong>innovative sensor technology</strong> and <strong>digital solutions</strong>. This center focuses on integrating <strong>innovative medical technologies</strong> such as <strong>wearables</strong> and <strong>robotic systems</strong> to support  <strong>medical diagnostics</strong>, <strong>patient monitoring</strong> and <strong>evaluating patient-specific therapies</strong> by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the <strong>development</strong>, <strong>integration</strong>, and <strong>validation</strong> of novel health technologies, providing companies opportunities for <strong>technological advancements</strong>. For more information, visit the <a href=\"https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html\">Fraunhofer IIS website</a>.</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}, {"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}], "ai_act_articles": [{"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 60, "name": "Testing of high-risk AI systems in real world conditions outside AI regulatory sandboxes", "code": "art_60", "number": "Art. 60"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [{"id": 7, "name": "Cardiology", "code": "CARD"}, {"id": 10, "name": "Neurology", "code": "NEUR"}], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "97 - 160EUR", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [{"id": 12, "name": "ISO 14155", "code": false}, {"id": 13, "name": "ISO 14971", "code": false}, {"id": 85, "name": "MDR", "code": false}], "certification_ids": [], "offering_ids": [{"id": 352, "name": "C-Scientific & Medical Communication", "domain": "Scientific"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.clinical_expertise"]}, {"id": 216, "name": "Scientific Strategy & Clinical Writing: Literature to Final Report", "unique_identifier": "9a41c8f9-5e9e-41de-a283-583f35c27c95", "description": "**Who Can Benefit:**\r\n- Clinical Researchers: For strengthening study designs and hypotheses with a comprehensive understanding of existing literature.\r\n- Medical Product Developers: To advance the development of innovative medical solutions by integrating scientific research insights.\r\n- Academics and Healthcare Professionals: For engaging in scholarly dissemination of research, raising the profile and recognition of their work.\r\n\r\n**Key Features:**\r\n- Systematic Literature Research: Conducts comprehensive, literature searches to establish the scientific foundation for clinical investigation plans, regulatory submissions, and product positioning.\r\n- Clinical Investigation Plan (CIP) Development: Authors complete, ISO 14155-compliant study plans including objectives, design, endpoints, visit schedules, and statistical considerations.\r\n- Data Management Planning: Develops detailed DMPs covering database design, data collection procedures, validation rules, coding dictionaries, and quality assurance workflows.\r\n- Biostatistical Analysis: Provides full statistical support from sample size calculation and analysis plan development through to confirmatory analysis, subgroup evaluations, and results interpretation.\r\n- Clinical Investigation Report (CIR): Produces comprehensive final study reports documenting methods, results, and conclusions in accordance with ISO 14155 and regulatory expectations.\r\n- Scientific Dissemination & Publication: Supports or leads the preparation of peer-reviewed manuscripts, conference abstracts, and strategic dissemination planning.\r\n- Product Development Guidance: Translates scientific evidence into actionable recommendations for medical product design, differentiation, and clinical positioning.\r\n\r\n**Possible Applications:**\r\n- MDR Clinical Evaluation Support: Conducting systematic literature reviews and writing clinical evaluation reports (CER) to fulfill MDR Annex XIV requirements for medical device certification.\r\n- Planning Investigator-Initiated Trials: Developing robust CIPs and DMPs for academic research groups conducting clinical studies on novel sensor technologies or digital health solutions.\r\n- Regulatory Submission Documentation: Producing the complete documentation package (CIP, SAP, DMP, CIR) required for notified body review or competent authority submissions.\r\n- Biostatistical Consulting for MedTech Startups: Providing sample size calculations, endpoint selection guidance, and analysis strategies for companies designing their first clinical study.\r\n- Multi-Center Study Coordination: Harmonizing documentation, data management, and statistical reporting across multiple investigational sites.\r\n- Scientific Visibility for Industry Partners: Transforming proprietary study results into high-impact publications, raising the scientific profile of commercial innovations.\r\n- Grant Proposal Support: Strengthening research funding applications with solid literature foundations, well-designed study concepts, and credible statistical frameworks.\r\n\r\n**Who We Are:**\r\nThe **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **\"Center for Sensor Technology and Digital Medicine\" (CEMDIS)** in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support  **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).", "description_html": "<p><strong>Who Can Benefit:</strong>\n- Clinical Researchers: For strengthening study designs and hypotheses with a comprehensive understanding of existing literature.\n- Medical Product Developers: To advance the development of innovative medical solutions by integrating scientific research insights.\n- Academics and Healthcare Professionals: For engaging in scholarly dissemination of research, raising the profile and recognition of their work.</p>\n<p><strong>Key Features:</strong>\n- Systematic Literature Research: Conducts comprehensive, literature searches to establish the scientific foundation for clinical investigation plans, regulatory submissions, and product positioning.\n- Clinical Investigation Plan (CIP) Development: Authors complete, ISO 14155-compliant study plans including objectives, design, endpoints, visit schedules, and statistical considerations.\n- Data Management Planning: Develops detailed DMPs covering database design, data collection procedures, validation rules, coding dictionaries, and quality assurance workflows.\n- Biostatistical Analysis: Provides full statistical support from sample size calculation and analysis plan development through to confirmatory analysis, subgroup evaluations, and results interpretation.\n- Clinical Investigation Report (CIR): Produces comprehensive final study reports documenting methods, results, and conclusions in accordance with ISO 14155 and regulatory expectations.\n- Scientific Dissemination &amp; Publication: Supports or leads the preparation of peer-reviewed manuscripts, conference abstracts, and strategic dissemination planning.\n- Product Development Guidance: Translates scientific evidence into actionable recommendations for medical product design, differentiation, and clinical positioning.</p>\n<p><strong>Possible Applications:</strong>\n- MDR Clinical Evaluation Support: Conducting systematic literature reviews and writing clinical evaluation reports (CER) to fulfill MDR Annex XIV requirements for medical device certification.\n- Planning Investigator-Initiated Trials: Developing robust CIPs and DMPs for academic research groups conducting clinical studies on novel sensor technologies or digital health solutions.\n- Regulatory Submission Documentation: Producing the complete documentation package (CIP, SAP, DMP, CIR) required for notified body review or competent authority submissions.\n- Biostatistical Consulting for MedTech Startups: Providing sample size calculations, endpoint selection guidance, and analysis strategies for companies designing their first clinical study.\n- Multi-Center Study Coordination: Harmonizing documentation, data management, and statistical reporting across multiple investigational sites.\n- Scientific Visibility for Industry Partners: Transforming proprietary study results into high-impact publications, raising the scientific profile of commercial innovations.\n- Grant Proposal Support: Strengthening research funding applications with solid literature foundations, well-designed study concepts, and credible statistical frameworks.</p>\n<p><strong>Who We Are:</strong>\nThe <strong>Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)</strong> has established the <strong>Center for Sensor Technology and Digital Medicine (CEMDIS)</strong> in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through <strong>innovative sensor technology</strong> and <strong>digital solutions</strong>. This center focuses on integrating <strong>innovative medical technologies</strong> such as <strong>wearables</strong> and <strong>robotic systems</strong> to support  <strong>medical diagnostics</strong>, <strong>patient monitoring</strong> and <strong>evaluating patient-specific therapies</strong> by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the <strong>development</strong>, <strong>integration</strong>, and <strong>validation</strong> of novel health technologies, providing companies opportunities for <strong>technological advancements</strong>. For more information, visit the <a href=\"https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html\">Fraunhofer IIS website</a>.</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "physical", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 60, "name": "Testing of high-risk AI systems in real world conditions outside AI regulatory sandboxes", "code": "art_60", "number": "Art. 60"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 1, "name": "Consulting"}, {"id": 30, "name": "Scientific Communication & Publications"}, {"id": 10, "name": "Scientific & Medical Communication"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "97 - 160EUR", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 345, "name": "C-Ethics & Regulatory Affairs (ethics board approval, legal requirements, ...)", "domain": "Ethics"}, {"id": 352, "name": "C-Scientific & Medical Communication", "domain": "Scientific"}, {"id": 354, "name": "C-Clinical Investigation Support (clinical studies & trials, coordination, design, feasibility, documentation, compliance, operations support)", "domain": "Clinical"}, {"id": 356, "name": "C-Development of conformity evaluation standards, protocols & tools", "domain": "Development"}, {"id": 370, "name": "C-Clinical Investigation Support (coordination, design, feasibility, documentation,compliance, operations support, etc.)", "domain": "Clinical"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.integration_hcs"]}, {"id": 217, "name": "Smart Study Design: AI-Driven Protocol Analysis & Feasibility", "unique_identifier": "8c0c92b8-407a-4987-bb21-fdb83da1c83b", "description": "**Who Can Benefit:**\r\n- Clinical Researchers and Study Designers: For leveraging AI capabilities to refine and finalize study protocols, enhancing their effectiveness and feasibility.\r\n- Medical Product Developers: To assess the clinical viability of new products and solutions, ensuring they meet necessary evaluation criteria before market introduction.\r\n- Research and Development Teams: For innovative project development utilizing cutting-edge AI technologies to optimize research outcomes.\r\n\r\n**Key Features:**\r\n- AI-Driven Protocol Parsing: Leverages artificial intelligence to automatically parse, structure, and analyze clinical study protocols, extracting key parameters and identifying inconsistencies or gaps.\r\n- Feasibility Assessment: Conducts detailed evaluations to determine the viability of clinical studies for medical products, ensuring alignment with research goals and regulatory standards.\r\n- Design Optimization Recommendations: Generates actionable suggestions for protocol refinement \u2013 from endpoint selection and visit schedules to sample size considerations and risk mitigation.\r\n- Regulatory Alignment Check: Automatically flags protocol elements that may conflict with applicable standards (ISO 14155, MDR, ICH-GCP) or require additional justification.\r\n- Expert-in-the-Loop Guidance: Combines AI-generated insights with human expert review from clinical and technical specialists to deliver validated, trustworthy recommendations.\r\n\r\n**Applications:**\r\n- Study Protocol Evaluation: Employs AI technologies to enhance the accuracy and efficiency of protocol assessments, identifying potential challenges or areas for improvement.\r\n- Clinical Feasibility Analysis: Provides critical insights into the practicality of proposed research projects, aiding in the decision-making process for medical product development.\r\n- AI-Enhanced Clinical Research: Supports the integration of AI tools to streamline clinical study planning and execution.\r\n\r\n**Who we are:**\r\nThe **Fraunhofer IIS** has established the **\"Center for Sensor Technology and Digital Medicine\"** in cooperation with the University Hospital Erlangen and the University of Erlangen-Nuremberg to enhance healthcare efficiency through **sensors** and **digital solutions**. This center focuses on integrating **innovative medical technologies** like **patient-specific therapies**, **digital health applications**, **medical diagnostics** via **wearables**, and **robotic systems** for care. Located at the University Hospital Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).", "description_html": "<p><strong>Who Can Benefit:</strong>\n- Clinical Researchers and Study Designers: For leveraging AI capabilities to refine and finalize study protocols, enhancing their effectiveness and feasibility.\n- Medical Product Developers: To assess the clinical viability of new products and solutions, ensuring they meet necessary evaluation criteria before market introduction.\n- Research and Development Teams: For innovative project development utilizing cutting-edge AI technologies to optimize research outcomes.</p>\n<p><strong>Key Features:</strong>\n- AI-Driven Protocol Parsing: Leverages artificial intelligence to automatically parse, structure, and analyze clinical study protocols, extracting key parameters and identifying inconsistencies or gaps.\n- Feasibility Assessment: Conducts detailed evaluations to determine the viability of clinical studies for medical products, ensuring alignment with research goals and regulatory standards.\n- Design Optimization Recommendations: Generates actionable suggestions for protocol refinement \u2013 from endpoint selection and visit schedules to sample size considerations and risk mitigation.\n- Regulatory Alignment Check: Automatically flags protocol elements that may conflict with applicable standards (ISO 14155, MDR, ICH-GCP) or require additional justification.\n- Expert-in-the-Loop Guidance: Combines AI-generated insights with human expert review from clinical and technical specialists to deliver validated, trustworthy recommendations.</p>\n<p><strong>Applications:</strong>\n- Study Protocol Evaluation: Employs AI technologies to enhance the accuracy and efficiency of protocol assessments, identifying potential challenges or areas for improvement.\n- Clinical Feasibility Analysis: Provides critical insights into the practicality of proposed research projects, aiding in the decision-making process for medical product development.\n- AI-Enhanced Clinical Research: Supports the integration of AI tools to streamline clinical study planning and execution.</p>\n<p><strong>Who we are:</strong>\nThe <strong>Fraunhofer IIS</strong> has established the <strong>Center for Sensor Technology and Digital Medicine</strong> in cooperation with the University Hospital Erlangen and the University of Erlangen-Nuremberg to enhance healthcare efficiency through <strong>sensors</strong> and <strong>digital solutions</strong>. This center focuses on integrating <strong>innovative medical technologies</strong> like <strong>patient-specific therapies</strong>, <strong>digital health applications</strong>, <strong>medical diagnostics</strong> via <strong>wearables</strong>, and <strong>robotic systems</strong> for care. Located at the University Hospital Erlangen, it offers unique infrastructures for the <strong>development</strong>, <strong>integration</strong>, and <strong>validation</strong> of novel health technologies, providing companies opportunities for <strong>technological advancements</strong>. 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However, the evaluation process can be often quite hard for an AI provider to do properly: the evaluation dataset needs to be correctly qualified, and the creation of the evaluation protocol as well as the analysis of the results are not easy tasks.</p>\n<p>This service allows AI provider to benefit of the LNE expertise with a full evaluation of their AI system: using an evaluation dataset created for the test or provided by a partner of the TEF project, an assessment of the performance of the AI system is done, and an analysis of its behavior provided. This work also includes a quality assessment of the evaluation dataset. The scope of the analysis of the evaluation results can include robustness and resilience evaluation, depending of the needs of the SMEs.</p>\n<p>With this service, the customer will have a full assessment of its solution, allowing them to answer the accuracy requirements of the AI regulation, while also having a full report following all transparency and reproductibility requirements. This service generally takes around 2 months, depending of the needs of the customers.</p>", "service_provider": "Laboratoire National De Metrologie Et D'Essais (LNE)", "service_provider_id": 506, "service_provider_logo": "", "service_provider_institution": "Laboratoire National De Metrologie Et D'Essais (LNE)", "service_provider_institution_id": 506, "service_provider_hierarchy": [{"id": 506, "name": "Laboratoire National De Metrologie Et D'Essais (LNE)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per AI functionnality", "full_price": "20.000-40.000 EUR", "reduced_price": "6000-12000 EUR", "popularity": 0, "service_standard_legacy": "to be defined (see \"Method reference\")", "certification_support_legacy": "", "service_standards": [{"id": 41, "name": "to be defined (see \"Method reference\")", "code": false}], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 245, "name": "AI performance evaluation based on virtual testing environments", "unique_identifier": "13a1b614-d240-4c70-8d4c-b5a2a0762024", "description": "The system provided by the customer, for instance a medical device using an AI module, will be tested using a simulated environment. The service will be provided using the LE.IA Simulation, a fully simulated test environment (the robot or the medical device and its operating environment are simulated). It allows to generate a very large number of test scenarios that are not feasible in a physical environment.", "description_html": "<p>The system provided by the customer, for instance a medical device using an AI module, will be tested using a simulated environment. The service will be provided using the LE.IA Simulation, a fully simulated test environment (the robot or the medical device and its operating environment are simulated). It allows to generate a very large number of test scenarios that are not feasible in a physical environment.</p>", "service_provider": "Laboratoire National De Metrologie Et D'Essais (LNE)", "service_provider_id": 506, "service_provider_logo": "", "service_provider_institution": "Laboratoire National De Metrologie Et D'Essais (LNE)", "service_provider_institution_id": 506, "service_provider_hierarchy": [{"id": 506, "name": "Laboratoire National De Metrologie Et D'Essais (LNE)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 3, "name": "Software & AI"}, {"id": 44, "name": "In-Silico Simulation & Digital Twins"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per AI functionnality", "full_price": "25.000-60.000 EUR", "reduced_price": "7500-18000 EUR", "popularity": 0, "service_standard_legacy": "to be defined (see \"Method reference\")", "certification_support_legacy": "", "service_standards": [{"id": 41, "name": "to be defined (see \"Method reference\")", "code": false}], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.simulated_environment", "tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 246, "name": "AI performance evaluation based on mixed testing environments", "unique_identifier": "2352b924-a0c8-4eaa-8c0e-c0e213123f91", "description": "Based on the domain of the medical device or robot provided by the customer, the simulation will create a test environment relevant to the system to be evaluated using a video-projection system. The service will be provided using the LE.IA Immersion platform, a platform dedicated to the evaluation of AI. It consists of a video-projection system that makes it possible to reconstitute an \"artificial nature\" and to immerse the systems to be characterised (personal assistance robots, intelligent cameras, civil and military intervention robots, etc.) in a simulated dynamic reality. It allows the system (robot, camera, etc.) to be subjected to a multitude of test scenarios and to evaluate its reactions in a controlled environment.\n", "description_html": "<p>Based on the domain of the medical device or robot provided by the customer, the simulation will create a test environment relevant to the system to be evaluated using a video-projection system. The service will be provided using the LE.IA Immersion platform, a platform dedicated to the evaluation of AI. It consists of a video-projection system that makes it possible to reconstitute an artificial nature and to immerse the systems to be characterised (personal assistance robots, intelligent cameras, civil and military intervention robots, etc.) in a simulated dynamic reality. It allows the system (robot, camera, etc.) to be subjected to a multitude of test scenarios and to evaluate its reactions in a controlled environment.</p>", "service_provider": "Laboratoire National De Metrologie Et D'Essais (LNE)", "service_provider_id": 506, "service_provider_logo": "", "service_provider_institution": "Laboratoire National De Metrologie Et D'Essais (LNE)", "service_provider_institution_id": 506, "service_provider_hierarchy": [{"id": 506, "name": "Laboratoire National De Metrologie Et D'Essais (LNE)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 50, "name": "Simulated Clinical Rooms"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 16, "name": "Clinical Testbeds"}, {"id": 3, "name": "Software & AI"}, {"id": 4, "name": "Hardware & Robotics"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}, {"code": "hardware_robotics", "name": "Hardware & Robotics"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per AI functionnality", "full_price": "25.000-60.000 EUR", "reduced_price": "7500-18000 EUR", "popularity": 0, "service_standard_legacy": "to be defined (see \"Method reference\")", "certification_support_legacy": "", "service_standards": [{"id": 41, "name": "to be defined (see \"Method reference\")", "code": false}], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}, {"id": 358, "name": "P-Testing Facility Simulated (ER, OR, ICU, office, ambulance, ward, patient home, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.simulated_environment", "tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 247, "name": "AI robustness evaluation", "unique_identifier": "fe44356f-fc91-40d8-b8bc-33fc2f46d7de", "description": "Evaluation of an AI system using a test dataset augmented with artificial data. The new data results in a wide coverage of the operating range and addition of artificial noise based on the nature of the data processed by the AI system. \n\nThe LNE data augmentation tools can apply physically-informed transformations to visual data and timeseries data. The visual transformations include for instance: gaussian (electrical) and poisson (thermal) noise,  gaussian blur (focus issues), loss of pixels, lines and columns (CCD failures). The timeseries transformations include random gaussian, laplace or uniform noises.\n", "description_html": "<p>Evaluation of an AI system using a test dataset augmented with artificial data. The new data results in a wide coverage of the operating range and addition of artificial noise based on the nature of the data processed by the AI system. </p>\n<p>The LNE data augmentation tools can apply physically-informed transformations to visual data and timeseries data. The visual transformations include for instance: gaussian (electrical) and poisson (thermal) noise,  gaussian blur (focus issues), loss of pixels, lines and columns (CCD failures). The timeseries transformations include random gaussian, laplace or uniform noises.</p>", "service_provider": "Laboratoire National De Metrologie Et D'Essais (LNE)", "service_provider_id": 506, "service_provider_logo": "", "service_provider_institution": "Laboratoire National De Metrologie Et D'Essais (LNE)", "service_provider_institution_id": 506, "service_provider_hierarchy": [{"id": 506, "name": "Laboratoire National De Metrologie Et D'Essais (LNE)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per AI functionnality", "full_price": "10.000-20.000 EUR", "reduced_price": "3000-6000 EUR", "popularity": 0, "service_standard_legacy": "to be defined (see \"Method reference\")", "certification_support_legacy": "", "service_standards": [{"id": 41, "name": "to be defined (see \"Method reference\")", "code": false}], "certification_ids": [], "offering_ids": [], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 248, "name": "AI resilience evaluation", "unique_identifier": "9f9188a9-1d10-4637-b28e-0650f25eac0a", "description": "AI resilience evaluation: evaluation of an AI system using a test dataset. This dataset will contain erroneous data designed to disturbed the behavior of the AI system. The general methodology will include the design of test protocols, the realization of tests, the analysis of results and production of a test reports.\n", "description_html": "<p>AI resilience evaluation: evaluation of an AI system using a test dataset. This dataset will contain erroneous data designed to disturbed the behavior of the AI system. The general methodology will include the design of test protocols, the realization of tests, the analysis of results and production of a test reports.</p>", "service_provider": "Laboratoire National De Metrologie Et D'Essais (LNE)", "service_provider_id": 506, "service_provider_logo": "", "service_provider_institution": "Laboratoire National De Metrologie Et D'Essais (LNE)", "service_provider_institution_id": 506, "service_provider_hierarchy": [{"id": 506, "name": "Laboratoire National De Metrologie Et D'Essais (LNE)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per AI functionnality", "full_price": "10.000-20.000 EUR", "reduced_price": "3000-6000 EUR", "popularity": 0, "service_standard_legacy": "to be defined (see \"Method reference\")", "certification_support_legacy": "", "service_standards": [{"id": 41, "name": "to be defined (see \"Method reference\")", "code": false}], "certification_ids": [], "offering_ids": [{"id": 353, "name": "V-Testing Conformity & Compliance Software (security, privacy, usability, accountability, fairness, reliability, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 249, "name": "Development of an evaluation method for the AI solution", "unique_identifier": "a617ad91-adfc-4e84-bf80-4d6ad1c660a8", "description": "Development of an evaluation method for the AI solution: given the specifications and context of application of the AI system, the test will provide the evaluation plan to assess the performance of the system, in order for the customer to realize its own evaluation.\n\nThis service will be based on the expertise of the LNE in creating evaluation plan given an AI system. The evaluation plan will contain the specification of the evaluation tasks, the creation of the test data, the metrics, and the evaluation protocol. All these elements will be used by the customers to conduct the evaluation of the AI system.", "description_html": "<p>Development of an evaluation method for the AI solution: given the specifications and context of application of the AI system, the test will provide the evaluation plan to assess the performance of the system, in order for the customer to realize its own evaluation.</p>\n<p>This service will be based on the expertise of the LNE in creating evaluation plan given an AI system. The evaluation plan will contain the specification of the evaluation tasks, the creation of the test data, the metrics, and the evaluation protocol. All these elements will be used by the customers to conduct the evaluation of the AI system.</p>", "service_provider": "Laboratoire National De Metrologie Et D'Essais (LNE)", "service_provider_id": 506, "service_provider_logo": "", "service_provider_institution": "Laboratoire National De Metrologie Et D'Essais (LNE)", "service_provider_institution_id": 506, "service_provider_hierarchy": [{"id": 506, "name": "Laboratoire National De Metrologie Et D'Essais (LNE)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per AI functionnality", "full_price": "10.000-20.000 EUR", "reduced_price": "3000-6000 EUR", "popularity": 0, "service_standard_legacy": "to be defined (see \"Method reference\")", "certification_support_legacy": "", "service_standards": [{"id": 41, "name": "to be defined (see \"Method reference\")", "code": false}], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 258, "name": "Data Services n\u00b01 - SME Initial Consulting", "unique_identifier": "a98fcc5c-8b14-4376-b05a-edcf348a1957", "description": "This service aims to formalise and consolidate the SME's request (thanks to our expertise in clinical data warehouse and clinical investigation) and to specify services that we provide which will allow to conduct the study. Eventually, complementary services provided by other partners can be identified. This service includes a consultation session of approximately 2 hours to discuss the proposed project, its key aspects, its direction, and its feasibility. We will leverage our expertise in the reuse of real-world health data, addressing aspects such as data availability, feasibility, regulatory processes, and study methodologies.\u200b\n\nMethod Description:\nThe service includes :\n- Contact form\n- Documentation of the requirement\n- Specification document\n  - Identification of the Medical Service Rendered\n  - Identification of inclusion factors, epidemiological factors, factors linked to objectives, confounding factors \n  - Scope : CDWH/CDWH network/SNDS/ academic labs or other TEF partners \n  - Choice/identification of the project manager/sponsor\n\nMethod reference:\nLocal method respecting General Data Protection Regulation (GDPR), EU regulations 2017/745 and 2020/561 on medical devices, AI Act and Good Clinical Practice (GCP)", "description_html": "<p>This service aims to formalise and consolidate the SME's request (thanks to our expertise in clinical data warehouse and clinical investigation) and to specify services that we provide which will allow to conduct the study. Eventually, complementary services provided by other partners can be identified. This service includes a consultation session of approximately 2 hours to discuss the proposed project, its key aspects, its direction, and its feasibility. We will leverage our expertise in the reuse of real-world health data, addressing aspects such as data availability, feasibility, regulatory processes, and study methodologies.\u200b</p>\n<p>Method Description:\nThe service includes :\n- Contact form\n- Documentation of the requirement\n- Specification document\n  - Identification of the Medical Service Rendered\n  - Identification of inclusion factors, epidemiological factors, factors linked to objectives, confounding factors \n  - Scope : CDWH/CDWH network/SNDS/ academic labs or other TEF partners \n  - Choice/identification of the project manager/sponsor</p>\n<p>Method reference:\nLocal method respecting General Data Protection Regulation (GDPR), EU regulations 2017/745 and 2020/561 on medical devices, AI Act and Good Clinical Practice (GCP)</p>", "service_provider": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_id": 516, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_institution_id": 516, "service_provider_hierarchy": [{"id": 516, "name": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 1, "name": "Need", "code": "need", "number": 1}, {"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 11, "name": "Analytical study", "number": 2}, {"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}], "medical_domains": [], "ontology_categories": [{"id": 7, "name": "TEF Matchmaking & Intake"}, {"id": 25, "name": "Business Model & Market Readiness"}, {"id": 1, "name": "Consulting"}, {"id": 22, "name": "Initial Needs Assessment"}, {"id": 8, "name": "Strategic & Business Enablement"}, {"id": 23, "name": "Service Recommendation & Routing"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "80 EUR", "reduced_price": "50 EUR", "popularity": 1, "service_standard_legacy": "General Data Protection Regulation (GDPR)\nGood Clinical Practice (GCP)\nEU regulations 2017/745 and 2020/561 on medical devices\nAI Act", "certification_support_legacy": "", "service_standards": [{"id": 45, "name": "AI Act", "code": false}, {"id": 44, "name": "EU regulations 2017/745 and 2020/561 on medical devices", "code": false}, {"id": 43, "name": "GCP", "code": false}, {"id": 37, "name": "GDPR", "code": false}], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 341, "name": "C-Quality Management", "domain": "Quality"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs"]}, {"id": 259, "name": "Data Services n\u00b02 - Feasibility Studies: prescreening services to build datasets from clinical data warehouses", "unique_identifier": "25b98c4e-4f27-4001-8091-77f155c690e0", "description": "This service allows the validation of the clinical question and the feasibility of the SME's request. To be more specific, it first includes a validation of the clinical question with a clinical expert. Then, a pre-screening is conducted to assess data availability, leveraging the expertise of our data scientists, which leads to the production of a feasibility report. \n\nPrerequisite: our service \"SME initial consulting\" must have been previously conducted.\u200b\n\nMethod Description:\nThe service includes :\n- Pre-screening [mandatory]\n- Feasibility study [mandatory]\n\nMethod reference:\nLocal method respecting General Data Protection Regulation (GDPR), AI Act and Good Clinical Practice (GCP)", "description_html": "<p>This service allows the validation of the clinical question and the feasibility of the SME's request. To be more specific, it first includes a validation of the clinical question with a clinical expert. Then, a pre-screening is conducted to assess data availability, leveraging the expertise of our data scientists, which leads to the production of a feasibility report. </p>\n<p>Prerequisite: our service SME initial consulting must have been previously conducted.\u200b</p>\n<p>Method Description:\nThe service includes :\n- Pre-screening [mandatory]\n- Feasibility study [mandatory]</p>\n<p>Method reference:\nLocal method respecting General Data Protection Regulation (GDPR), AI Act and Good Clinical Practice (GCP)</p>", "service_provider": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_id": 516, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_institution_id": 516, "service_provider_hierarchy": [{"id": 516, "name": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 11, "name": "Analytical study", "number": 2}, {"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}], "medical_domains": [], "ontology_categories": [{"id": 7, "name": "TEF Matchmaking & Intake"}, {"id": 1, "name": "Consulting"}, {"id": 22, "name": "Initial Needs Assessment"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 37, "name": "Data Quality Assessment"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}, {"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "75-115 EUR", "reduced_price": "50-75 EUR", "popularity": 0, "service_standard_legacy": "General Data Protection Regulation (GDPR)", "certification_support_legacy": "", "service_standards": [{"id": 37, "name": "GDPR", "code": false}], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 341, "name": "C-Quality Management", "domain": "Quality"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs"]}, {"id": 260, "name": "Data Services n\u00b03 - Methodological Advising", "unique_identifier": "5005b235-ed53-4276-a0a0-ac7b6e128edf", "description": "This support service offer to companies scientific and methodological advice throughout the project. It includes regular progress meetings and ongoing support from a project manager. This may also include support in drafting the research plan and contacts with healthcare professionals. This service provides comprehensive support for companies' R&D projects, with personalized follow-up tailored to their needs, while ensuring the clinical validity of their approaches to exploit clinical warehouse data.\u200b\n\nDetails :\u200b\n- Meeting with a Clinical Research Project Manager from the Clinical Data Center. The project manager will ensure project management in our institution and key steps related to clinical data warehouse exploitation (e.g., submission to local ethics and scientific commitee).\u200b\n- Regular meetings including a group of experts specialized in medicine, clinical data science, clinical research and health technology. Pricing will depend on the mobilized expertise and regularity of the meetings.\u200b\n- The opportunity to have your research protocol reviewed and evaluated by experts. This service includes one submission. New submission will result in a re-evaluation of the service charges.\u200b\n\nPrerequisite : our service \"Feasibilty study\" must have been previously conducted.\u200b\n\nMethod Description:\nThe service includes a minimal mandatory task set. Optional tasks can be jointly selected depending on the SME needs and available resources:\n- Regular progress meetings (fortnightly/monthly) [mandatory]\n- Review and advice on research plan writing, testing and evaluation [optional]\n- Review and analysis of research plan by clinicians [optional]\n\nMethod reference:\nLocal method respecting General Data Protection Regulation (GDPR), EU regulations 2017/745 and 2020/561 on medical devices,  AI Act and Good Clinical Practice (GCP)", "description_html": "<p>This support service offer to companies scientific and methodological advice throughout the project. It includes regular progress meetings and ongoing support from a project manager. This may also include support in drafting the research plan and contacts with healthcare professionals. This service provides comprehensive support for companies' R&amp;D projects, with personalized follow-up tailored to their needs, while ensuring the clinical validity of their approaches to exploit clinical warehouse data.\u200b</p>\n<p>Details :\u200b\n- Meeting with a Clinical Research Project Manager from the Clinical Data Center. The project manager will ensure project management in our institution and key steps related to clinical data warehouse exploitation (e.g., submission to local ethics and scientific commitee).\u200b\n- Regular meetings including a group of experts specialized in medicine, clinical data science, clinical research and health technology. Pricing will depend on the mobilized expertise and regularity of the meetings.\u200b\n- The opportunity to have your research protocol reviewed and evaluated by experts. This service includes one submission. New submission will result in a re-evaluation of the service charges.\u200b</p>\n<p>Prerequisite : our service Feasibilty study must have been previously conducted.\u200b</p>\n<p>Method Description:\nThe service includes a minimal mandatory task set. Optional tasks can be jointly selected depending on the SME needs and available resources:\n- Regular progress meetings (fortnightly/monthly) [mandatory]\n- Review and advice on research plan writing, testing and evaluation [optional]\n- Review and analysis of research plan by clinicians [optional]</p>\n<p>Method reference:\nLocal method respecting General Data Protection Regulation (GDPR), EU regulations 2017/745 and 2020/561 on medical devices,  AI Act and Good Clinical Practice (GCP)</p>", "service_provider": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_id": 516, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_institution_id": 516, "service_provider_hierarchy": [{"id": 516, "name": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 1, "name": "Consulting"}, {"id": 31, "name": "Expert Medical Opinion"}, {"id": 10, "name": "Scientific & Medical Communication"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "70-140 EUR", "reduced_price": "63-126 EUR", "popularity": 0, "service_standard_legacy": "General Data Protection Regulation (GDPR)\nGood Clinical Practice (GCP)\nEU regulations 2017/745 and 2020/561 on medical devices\nAI Act", "certification_support_legacy": "", "service_standards": [{"id": 45, "name": "AI Act", "code": false}, {"id": 44, "name": "EU regulations 2017/745 and 2020/561 on medical devices", "code": false}, {"id": 43, "name": "GCP", "code": false}, {"id": 37, "name": "GDPR", "code": false}], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 341, "name": "C-Quality Management", "domain": "Quality"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.integration_hcs"]}, {"id": 261, "name": "Data Services n\u00b04 - Ethical & Legal Advising", "unique_identifier": "da32f2fc-5fae-4730-aaa2-130b862a479a", "description": "This service focuses on providing support in analyzing the legal and ethical framework, which involves helping to understand the laws and regulations in force, as well as the ethical principles and values applicable for clinical data warehouse exploitation. It may involve compliance assessment, particularly with regard to RNIPH and legal compliance, which consists in ensuring that the activities in question comply with the applicable laws and rules. It may include assistance with the construction and filing of regulatory dossiers (CEREES, CNIL, etc.). It offers the opportunity to have several documents reviewed and evaluated by experts as some help for CESREES and CNIL submission. This service is tailored by the SME needs.\u200b\n\nDetails:\u200b\n- An initial consultation meeting with a legal expert of the hospital to clarify the requirements for the CESREES and CNIL submissions.\u200b\n- One feedback session and an annotated report for each document (study protocol, data protection impact assessment GDPR, etc.) that the SME needs to revise are included. New submission will result in a re-evaluation of the service charges.\n\nPrerequisite : our service \"Feasibility study\" must have been previously conducted.\n\nMethod Description:\nDepending on the SME needs and available resources, this service may include all or part of the following task list:\n- Analysis of legal and ethical framework (Ethical committee) [optional] \n- Compliance assessment (RNIPH, legal compliance, etc.) [optional] \n- Assistance and advice on building regulatory files (CESREES, CNIL, MR004) [optional]\n\nMethod reference:\nLocal method respecting General Data Protection Regulation (GDPR), \nComit\u00e9 d\u2019Expertise pour les Recherches, les Etudes et les Evaluations dans le domaine de la Sant\u00e9 (CEREES), \nCommission Nationale de l\u2019Informatique et des Libert\u00e9s (CNIL), MR-004 reference methodology requirements and EU regulations 2017/745 and 2020/561 on medical devices", "description_html": "<p>This service focuses on providing support in analyzing the legal and ethical framework, which involves helping to understand the laws and regulations in force, as well as the ethical principles and values applicable for clinical data warehouse exploitation. It may involve compliance assessment, particularly with regard to RNIPH and legal compliance, which consists in ensuring that the activities in question comply with the applicable laws and rules. It may include assistance with the construction and filing of regulatory dossiers (CEREES, CNIL, etc.). It offers the opportunity to have several documents reviewed and evaluated by experts as some help for CESREES and CNIL submission. This service is tailored by the SME needs.\u200b</p>\n<p>Details:\u200b\n- An initial consultation meeting with a legal expert of the hospital to clarify the requirements for the CESREES and CNIL submissions.\u200b\n- One feedback session and an annotated report for each document (study protocol, data protection impact assessment GDPR, etc.) that the SME needs to revise are included. New submission will result in a re-evaluation of the service charges.</p>\n<p>Prerequisite : our service Feasibility study must have been previously conducted.</p>\n<p>Method Description:\nDepending on the SME needs and available resources, this service may include all or part of the following task list:\n- Analysis of legal and ethical framework (Ethical committee) [optional] \n- Compliance assessment (RNIPH, legal compliance, etc.) [optional] \n- Assistance and advice on building regulatory files (CESREES, CNIL, MR004) [optional]</p>\n<p>Method reference:\nLocal method respecting General Data Protection Regulation (GDPR), \nComit\u00e9 d\u2019Expertise pour les Recherches, les Etudes et les Evaluations dans le domaine de la Sant\u00e9 (CEREES), \nCommission Nationale de l\u2019Informatique et des Libert\u00e9s (CNIL), MR-004 reference methodology requirements and EU regulations 2017/745 and 2020/561 on medical devices</p>", "service_provider": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_id": 516, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_institution_id": 516, "service_provider_hierarchy": [{"id": 516, "name": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 27, "name": "Fundamental rights impact assessment for high-risk AI systems", "code": "art_27", "number": "Art. 27"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 55, "name": "Ethics & Legal Affairs"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "60-130 EUR", "reduced_price": "54-117 EUR", "popularity": 0, "service_standard_legacy": "General Data Protection Regulation (GDPR) \nComit\u00e9 d\u2019Expertise pour les Recherches, les Etudes et les Evaluations dans le domaine de la Sant\u00e9 (CEREES) [French]\nCommission Nationale de l\u2019Informatique et des Libert\u00e9s (CNIL) [French]\nMR-004 reference methodology [French]\nEU regulations 2017/745 and 2020/561 on medical devices", "certification_support_legacy": "", "service_standards": [{"id": 46, "name": "Comit\u00e9 d\u2019Expertise pour les Recherches, les Etudes et les Evaluations dans le domaine de la Sant\u00e9 (CEREES) [French]", "code": false}, {"id": 47, "name": "Commission Nationale de l\u2019Informatique et des Libert\u00e9s (CNIL) [French]", "code": false}, {"id": 44, "name": "EU regulations 2017/745 and 2020/561 on medical devices", "code": false}, {"id": 37, "name": "GDPR", "code": false}, {"id": 48, "name": "MR-004 Reference Methodology", "code": false}], "certification_ids": [], "offering_ids": [{"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}, {"id": 345, "name": "C-Ethics & Regulatory Affairs (ethics board approval, legal requirements, ...)", "domain": "Ethics"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs", "tier2.regulatory_roadmap"]}, {"id": 262, "name": "Data Services n\u00b05 - Provision of real-world data from clinical data warehouse and analyses", "unique_identifier": "fc08f8ab-b94c-4858-8e6d-cc789c23589c", "description": "This service provides access to health data from Clinical Data Warehouses of CHU Rennes or/and CHU Grenoble-Alpes and from other clinical data warehouse networks. It includes datamart building (cohort and document selection, mapping to standard...) and data qualification (extraction of clinical variables, data cleaning, clinical consistency checking...) steps. In this way, the service offers companies an opportunity to access healthcare data and/or descriptive statistical analyses.\u200b\n\nThis service involves only structured data extraction and pre-processing. In cases where the data is unstructured (e.g., requiring natural language processing for text, feature extraction from images, etc.), a specialized algorithm development service will be required (see our service \"Algorithm development\" for more details).\u200b\n\nPrerequisite : To have data access, it is essential to have CNIL (Commission Nationale de l'Informatique et des Libert\u00e9s) approval, a favorable opinion from the Scientific and Ethics Council (CSE), and a signed contract between SME and hospital. Furthermore, our services \"Feasibility study\" and \"Methodological advising\" must have been previously conducted.\u200b\n\nMethod Description:\nThe service includes a minimal mandatory task set. Optional tasks can be jointly selected depending on the SME needs and available resources:\n- Datamart building\n  - Patient selection (cohort) [mandatory] \n  - Selection of data of interest [mandatory] \n  - Mapping to FHIR/OMOP standards [optional]\n- Data qualification steps\n  - Extraction of variables of interest [optional]\n  - Data cleaning [mandatory] \n  - Clinical consistency check by expert [mandatory] \n  - Annotation/segmentation [optional]\n  - Descriptive statistical study [optional]\n- Confidentiality control [mandatory] \n- Matching with other databases (i.e., SNDS) [optional]\n- Deployment of methods on another warehouse [optional]\n- Datamart availability on Hospital platform (CHU platform) [Standard offer]\n\nMethod reference:\nBased on a scientific reference or a method designed by CHU Rennes and its partners (LTSI, LaTIM, etc.), as well as on methodologies provided by WP6. Provision by respecting General Data Protection Regulation (GDPR), AI Act, Good Clinical Practice (GCP) and french legal framework ", "description_html": "<p>This service provides access to health data from Clinical Data Warehouses of CHU Rennes or/and CHU Grenoble-Alpes and from other clinical data warehouse networks. It includes datamart building (cohort and document selection, mapping to standard...) and data qualification (extraction of clinical variables, data cleaning, clinical consistency checking...) steps. In this way, the service offers companies an opportunity to access healthcare data and/or descriptive statistical analyses.\u200b</p>\n<p>This service involves only structured data extraction and pre-processing. In cases where the data is unstructured (e.g., requiring natural language processing for text, feature extraction from images, etc.), a specialized algorithm development service will be required (see our service Algorithm development for more details).\u200b</p>\n<p>Prerequisite : To have data access, it is essential to have CNIL (Commission Nationale de l'Informatique et des Libert\u00e9s) approval, a favorable opinion from the Scientific and Ethics Council (CSE), and a signed contract between SME and hospital. Furthermore, our services Feasibility study and Methodological advising must have been previously conducted.\u200b</p>\n<p>Method Description:\nThe service includes a minimal mandatory task set. Optional tasks can be jointly selected depending on the SME needs and available resources:\n- Datamart building\n  - Patient selection (cohort) [mandatory] \n  - Selection of data of interest [mandatory] \n  - Mapping to FHIR/OMOP standards [optional]\n- Data qualification steps\n  - Extraction of variables of interest [optional]\n  - Data cleaning [mandatory] \n  - Clinical consistency check by expert [mandatory] \n  - Annotation/segmentation [optional]\n  - Descriptive statistical study [optional]\n- Confidentiality control [mandatory] \n- Matching with other databases (i.e., SNDS) [optional]\n- Deployment of methods on another warehouse [optional]\n- Datamart availability on Hospital platform (CHU platform) [Standard offer]</p>\n<p>Method reference:\nBased on a scientific reference or a method designed by CHU Rennes and its partners (LTSI, LaTIM, etc.), as well as on methodologies provided by WP6. Provision by respecting General Data Protection Regulation (GDPR), AI Act, Good Clinical Practice (GCP) and french legal framework </p>", "service_provider": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_id": 516, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_institution_id": 516, "service_provider_hierarchy": [{"id": 516, "name": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 38, "name": "FAIR Data & Standardization"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "75-95 EUR", "reduced_price": "67,5-81 EUR", "popularity": 2, "service_standard_legacy": "General Data Protection Regulation (GDPR) \nGood Clinical Practice (GCP)\nAI Act\nFrench legal framework", "certification_support_legacy": "", "service_standards": [{"id": 45, "name": "AI Act", "code": false}, {"id": 49, "name": "French legal framework", "code": false}, {"id": 43, "name": "GCP", "code": false}, {"id": 37, "name": "GDPR", "code": false}], "certification_ids": [], "offering_ids": [{"id": 338, "name": "V-Data Processing (curation, preprocessing & standardization, mining, visualization, anonymization, FAIR, etc.)", "domain": "Data"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}, {"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs", "tier2.existing_data"]}, {"id": 263, "name": "Data Services n\u00b06 - Datamart Availability", "unique_identifier": "8718d8a6-35b5-4375-ae66-b0d686afbb51", "description": "This service tends to offer a scalable platform to access dataset by the SME taking into account its infrastructure requirements and french legal framework.\u200b\n\nPrerequisite : The dataset must exclusively originate from our data warehouse.\n\nMethod Description:\nDepending on the SME needs and available resources, this service may include all or part of the following task list:\n- Deployment of the dataset on an environment outside CDW\n\nMethod reference:\nProvision by respecting General Data Protection Regulation (GDPR), AI Act, Good Clinical Practice (GCP) and french legal framework ", "description_html": "<p>This service tends to offer a scalable platform to access dataset by the SME taking into account its infrastructure requirements and french legal framework.\u200b</p>\n<p>Prerequisite : The dataset must exclusively originate from our data warehouse.</p>\n<p>Method Description:\nDepending on the SME needs and available resources, this service may include all or part of the following task list:\n- Deployment of the dataset on an environment outside CDW</p>\n<p>Method reference:\nProvision by respecting General Data Protection Regulation (GDPR), AI Act, Good Clinical Practice (GCP) and french legal framework </p>", "service_provider": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_id": 516, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_institution_id": 516, "service_provider_hierarchy": [{"id": 516, "name": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 14, "name": "Infrastructure & Platforms"}, {"id": 46, "name": "Trusted Research Environments"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "90 EUR", "reduced_price": "81 EUR", "popularity": 0, "service_standard_legacy": "General Data Protection Regulation (GDPR) \nGood Clinical Practice (GCP)\nAI Act\nFrench legal framework\n", "certification_support_legacy": "", "service_standards": [{"id": 45, "name": "AI Act", "code": false}, {"id": 49, "name": "French legal framework", "code": false}, {"id": 43, "name": "GCP", "code": false}, {"id": 37, "name": "GDPR", "code": false}], "certification_ids": [], "offering_ids": [{"id": 363, "name": "V-Platform (trusted research environment, authentication federation, etc.)", "domain": "Platform"}, {"id": 364, "name": "V-Infrastructure (compute, storage, network, HPC, etc.)", "domain": "Infrastructure"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs"]}, {"id": 264, "name": "Data Services n\u00b07 \u2013 Algorithms Development", "unique_identifier": "4de44874-07b1-438a-baaf-37273c17a9f5", "description": "This service offers method development for tasks at different processing levels (pre-processing, feature extraction, statistical, machine learning and/or deep learning algorithms). In short, it offers support for the full exploitation of data at all processing stages. With this service, companies can benefit from clinical and data science expertise to facilitate the entire healthcare data processing process, including raw data cleaning, extraction of relevant features, statistical analysis and implementation of advanced algorithms. Specific capabilities include text processing using regular expression (regex) filtering or NLP techniques, feature extraction from images, physiological signal through both Machine Learning and Deep Learning algorithms.\u200b\n\nPrerequisite : The dataset must exclusively originate from our data warehouse. Our service \"Data provision and analysis\" must simultaneously be conducted.\n\nMethod Description:\nThe service includes:\n- Drafting of functional specifications [mandatory]\n- Development of data exploitation methods [mandatory]\n\nMethod reference:\nBased on scientific reference or  methods designed by CHU Rennes and its partners (LTSI, LaTIM, etc.), as well as on methodologies provided by WP6. Implemented methods will integrate General Data Protection Regulation (GDPR), AI Act, Good Clinical Practice (GCP) insights.", "description_html": "<p>This service offers method development for tasks at different processing levels (pre-processing, feature extraction, statistical, machine learning and/or deep learning algorithms). In short, it offers support for the full exploitation of data at all processing stages. With this service, companies can benefit from clinical and data science expertise to facilitate the entire healthcare data processing process, including raw data cleaning, extraction of relevant features, statistical analysis and implementation of advanced algorithms. Specific capabilities include text processing using regular expression (regex) filtering or NLP techniques, feature extraction from images, physiological signal through both Machine Learning and Deep Learning algorithms.\u200b</p>\n<p>Prerequisite : The dataset must exclusively originate from our data warehouse. Our service Data provision and analysis must simultaneously be conducted.</p>\n<p>Method Description:\nThe service includes:\n- Drafting of functional specifications [mandatory]\n- Development of data exploitation methods [mandatory]</p>\n<p>Method reference:\nBased on scientific reference or  methods designed by CHU Rennes and its partners (LTSI, LaTIM, etc.), as well as on methodologies provided by WP6. Implemented methods will integrate General Data Protection Regulation (GDPR), AI Act, Good Clinical Practice (GCP) insights.</p>", "service_provider": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_id": 516, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_institution_id": 516, "service_provider_hierarchy": [{"id": 516, "name": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "70-140 EUR", "reduced_price": "63-126 EUR", "popularity": 0, "service_standard_legacy": "General Data Protection Regulation (GDPR)\nAI Act", "certification_support_legacy": "", "service_standards": [{"id": 45, "name": "AI Act", "code": false}, {"id": 37, "name": "GDPR", "code": false}], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.existing_data"]}, {"id": 266, "name": "Data Services n\u00b09 - Scientific Dissemination", "unique_identifier": "f81b0516-3d55-443b-903e-d355ca4358af", "description": "The role of this service is to support the promotion and exploitation of research undertaken from an academic point of view. In particular, this involves proofreading and writing scientific articles, as well as participating in scientific conferences. The scientific commercialization service is therefore essential to ensure the dissemination and visibility of research results.\u200b\n\nPrerequisite: The study must have been conducted throught our other services.\n\nMethod Description:\nDepending on the SME needs and available resources, this service may include all or part of the following task list:\n- Scientific article writing [optional]\n- Proofreading and advice on writing scientific articles [optional]\n- Participation in scientific events (conferences, etc...) [optional]\n\nMethod reference:\nBased on scientific and clinical expertise", "description_html": "<p>The role of this service is to support the promotion and exploitation of research undertaken from an academic point of view. In particular, this involves proofreading and writing scientific articles, as well as participating in scientific conferences. The scientific commercialization service is therefore essential to ensure the dissemination and visibility of research results.\u200b</p>\n<p>Prerequisite: The study must have been conducted throught our other services.</p>\n<p>Method Description:\nDepending on the SME needs and available resources, this service may include all or part of the following task list:\n- Scientific article writing [optional]\n- Proofreading and advice on writing scientific articles [optional]\n- Participation in scientific events (conferences, etc...) [optional]</p>\n<p>Method reference:\nBased on scientific and clinical expertise</p>", "service_provider": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_id": 516, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_institution_id": 516, "service_provider_hierarchy": [{"id": 516, "name": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 1, "name": "Consulting"}, {"id": 30, "name": "Scientific Communication & Publications"}, {"id": 10, "name": "Scientific & Medical Communication"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "90 EUR", "reduced_price": "81 EUR", "popularity": 0, "service_standard_legacy": "None", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}, {"id": 352, "name": "C-Scientific & Medical Communication", "domain": "Scientific"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 267, "name": "Datasets Access: 4 - Provision of real-world data from clinical data warehouse and analyses", "unique_identifier": "726bcf5b-9bfd-430e-b218-5187342cee23", "description": "This service provides access to health data from Clinical Data Warehouses of CHU Grenoble-Alpes.  It includes datamart building (cohort and document selection, mapping to standard...) and data qualification (extraction of clinical variables, data cleaning, clinical consistency checking...) steps. In this way, the service offers companies an opportunity to access healthcare data and/or descriptive statistical analyses.\u200b\n\nThis service involves only structured data extraction and pre-processing. In cases where the data is unstructured (e.g., requiring natural language processing for text, feature extraction from images, etc.), a specialized algorithm development service will be required (see our service \"Algorithm development\" for more details).\u200b\n\nAn extension of the study to other clinical data warehouses from the TEF consortium can be considered in a second time.\n\nPrerequisite : To have data access, it is mandatory to fullfil the regulatory package asked by the French regulatory authorities*  and a signed contract between the SME and the hospital. Furthermore, our services \"Feasability study\" and \"Methodological advising\" must have been previously conducted.\u200b\n\nMethod Description:\nThe service includes a minimal mandatory task set. Optional tasks can be jointly selected depending on the SME needs and available ressources:\n- Datamart building\n  - Patient selection (cohort) [mandatory] \n  - Selection of data of interest [mandatory] \n- Data qualification steps\n  - Extraction of variables of interest [optional]\n  - Data cleaning [optional] \n  - Clinical consistency check by expert [mandatory] \n  - Annotation/segmentation [optional]\n  - Descriptive statistical study [optional]\n- Confidentiality control [mandatory] \n- Matching with other databases (i.e., SNDS) [optional]\n- Deployment of methods on another warehouse [optional]\n- Datamart availability on Hospital platform (CHU platform) [Standard offer]\n\nMethod reference:\nBased on a scientific reference or a method designed by CHU Grenoble Alpes, as well as on methodologies provided by WP6. Provision by respecting General Data Protection Regulation (GDPR), AI Act, Good Clinical Practice (GCP) and french legal framework \n*Regulatory package:\n  - Approval from the CNIL (Commission Nationale de l'Informatique et des Libert\u00e9s)\n  - Favorable scientific opinion (provided internally in the hospital by a scientific committee)\n  - Favorable ethical assessment  (provided internally in the hospital by an Institutional Review Board (IRB))", "description_html": "<p>This service provides access to health data from Clinical Data Warehouses of CHU Grenoble-Alpes.  It includes datamart building (cohort and document selection, mapping to standard...) and data qualification (extraction of clinical variables, data cleaning, clinical consistency checking...) steps. In this way, the service offers companies an opportunity to access healthcare data and/or descriptive statistical analyses.\u200b</p>\n<p>This service involves only structured data extraction and pre-processing. In cases where the data is unstructured (e.g., requiring natural language processing for text, feature extraction from images, etc.), a specialized algorithm development service will be required (see our service Algorithm development for more details).\u200b</p>\n<p>An extension of the study to other clinical data warehouses from the TEF consortium can be considered in a second time.</p>\n<p>Prerequisite : To have data access, it is mandatory to fullfil the regulatory package asked by the French regulatory authorities*  and a signed contract between the SME and the hospital. Furthermore, our services Feasability study and Methodological advising must have been previously conducted.\u200b</p>\n<p>Method Description:\nThe service includes a minimal mandatory task set. Optional tasks can be jointly selected depending on the SME needs and available ressources:\n- Datamart building\n  - Patient selection (cohort) [mandatory] \n  - Selection of data of interest [mandatory] \n- Data qualification steps\n  - Extraction of variables of interest [optional]\n  - Data cleaning [optional] \n  - Clinical consistency check by expert [mandatory] \n  - Annotation/segmentation [optional]\n  - Descriptive statistical study [optional]\n- Confidentiality control [mandatory] \n- Matching with other databases (i.e., SNDS) [optional]\n- Deployment of methods on another warehouse [optional]\n- Datamart availability on Hospital platform (CHU platform) [Standard offer]</p>\n<p>Method reference:\nBased on a scientific reference or a method designed by CHU Grenoble Alpes, as well as on methodologies provided by WP6. Provision by respecting General Data Protection Regulation (GDPR), AI Act, Good Clinical Practice (GCP) and french legal framework \n*Regulatory package:\n  - Approval from the CNIL (Commission Nationale de l'Informatique et des Libert\u00e9s)\n  - Favorable scientific opinion (provided internally in the hospital by a scientific committee)\n  - Favorable ethical assessment  (provided internally in the hospital by an Institutional Review Board (IRB))</p>", "service_provider": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_id": 515, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_institution_id": 515, "service_provider_hierarchy": [{"id": 515, "name": "Centre Hospitalier Universitaire De Grenoble (CHUGA)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "60-135 EUR", "reduced_price": "40-135 EUR", "popularity": 1, "service_standard_legacy": "General Data Protection Regulation (GDPR) \nGood Clinical Practice (GCP)\nAI Act\nFrench legal framework", "certification_support_legacy": "", "service_standards": [{"id": 45, "name": "AI Act", "code": false}, {"id": 49, "name": "French legal framework", "code": false}, {"id": 43, "name": "GCP", "code": false}, {"id": 37, "name": "GDPR", "code": false}], "certification_ids": [], "offering_ids": [{"id": 338, "name": "V-Data Processing (curation, preprocessing & standardization, mining, visualization, anonymization, FAIR, etc.)", "domain": "Data"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}, {"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs"]}, {"id": 268, "name": "Datasets Access: 5 - Datamart availability", "unique_identifier": "66138557-eca8-46c6-9c3d-a77e0655de03", "description": "This service tend to offer a scalable platform to access dataset by the SME taking into account its infrastructure requirements and french legal framework.\u200b\n\nPrerequisite : The dataset must exclusively originate from our data warehouse.\n\nMethod Description:\nDepending on the SME needs and available ressources, this service may include all or part of the following task list:\n- Deployment of the dataset on an environment outside Clinical data Warehouse\n\nMethod reference:\nProvision by respecting General Data Protection Regulation (GDPR), AI Act, Good Clinical Practice (GCP) and French legal framework ", "description_html": "<p>This service tend to offer a scalable platform to access dataset by the SME taking into account its infrastructure requirements and french legal framework.\u200b</p>\n<p>Prerequisite : The dataset must exclusively originate from our data warehouse.</p>\n<p>Method Description:\nDepending on the SME needs and available ressources, this service may include all or part of the following task list:\n- Deployment of the dataset on an environment outside Clinical data Warehouse</p>\n<p>Method reference:\nProvision by respecting General Data Protection Regulation (GDPR), AI Act, Good Clinical Practice (GCP) and French legal framework </p>", "service_provider": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_id": 515, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_institution_id": 515, "service_provider_hierarchy": [{"id": 515, "name": "Centre Hospitalier Universitaire De Grenoble (CHUGA)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 14, "name": "Infrastructure & Platforms"}, {"id": 46, "name": "Trusted Research Environments"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "60-135 EUR", "reduced_price": "40-135 EUR", "popularity": 0, "service_standard_legacy": "General Data Protection Regulation (GDPR) \nGood Clinical Practice (GCP)\nAI Act\nFrench legal framework\n", "certification_support_legacy": "", "service_standards": [{"id": 45, "name": "AI Act", "code": false}, {"id": 49, "name": "French legal framework", "code": false}, {"id": 43, "name": "GCP", "code": false}, {"id": 37, "name": "GDPR", "code": false}], "certification_ids": [], "offering_ids": [{"id": 363, "name": "V-Platform (trusted research environment, authentication federation, etc.)", "domain": "Platform"}, {"id": 364, "name": "V-Infrastructure (compute, storage, network, HPC, etc.)", "domain": "Infrastructure"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs"]}, {"id": 269, "name": "Datasets Access: 6 - Algorithms development", "unique_identifier": "6d718cf7-fa95-4c20-8181-d959e8332691", "description": "This service offers method development for tasks at different processing levels .  With this service, companies can benefit from clinical and data science expertise to facilitate the entire healthcare data processing process, including raw data cleaning, extraction of relevant features (pre-processing), statistical analysis and implementation of advanced algorithms in some cases. \nIn particular, we provide specific capabilities including text processing using NLP techniques, feature extraction from images through both Machine Learning and Deep Learning algorithms.\u200b\n\nPrerequisite : The dataset must exclusively originate from our data warehouse. Our service \"Data provision and analysis\" must simultaneously be conducted.\n\nMethod Description:\nThe service includes:\n- Drafting of functional specifications [mandatory]\n- Development of data exploitation methods [mandatory]\n\nMethod reference:\nImplemented methods will integrate General Data Protection Regulation (GDPR), AI Act, Good Clinical Practice (GCP) insights.", "description_html": "<p>This service offers method development for tasks at different processing levels .  With this service, companies can benefit from clinical and data science expertise to facilitate the entire healthcare data processing process, including raw data cleaning, extraction of relevant features (pre-processing), statistical analysis and implementation of advanced algorithms in some cases. \nIn particular, we provide specific capabilities including text processing using NLP techniques, feature extraction from images through both Machine Learning and Deep Learning algorithms.\u200b</p>\n<p>Prerequisite : The dataset must exclusively originate from our data warehouse. Our service Data provision and analysis must simultaneously be conducted.</p>\n<p>Method Description:\nThe service includes:\n- Drafting of functional specifications [mandatory]\n- Development of data exploitation methods [mandatory]</p>\n<p>Method reference:\nImplemented methods will integrate General Data Protection Regulation (GDPR), AI Act, Good Clinical Practice (GCP) insights.</p>", "service_provider": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_id": 515, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_institution_id": 515, "service_provider_hierarchy": [{"id": 515, "name": "Centre Hospitalier Universitaire De Grenoble (CHUGA)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "60-135 EUR", "reduced_price": "40-135 EUR", "popularity": 0, "service_standard_legacy": "General Data Protection Regulation (GDPR)\nAI Act", "certification_support_legacy": "", "service_standards": [{"id": 45, "name": "AI Act", "code": false}, {"id": 37, "name": "GDPR", "code": false}], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.existing_data"]}, {"id": 270, "name": "Transfer of anonymous virtual data", "unique_identifier": "5280d4ca-703a-4890-95b8-8a7ee4d2f645", "description": "Using an AI algorithm to produce virtual anonymized datasets imitating real data.\nThis could help companies to easily access to datasets thanks to anonymization.\n\nMethod Description:\nDepending on the SME needs and available ressources, this service may include all or part of the following task list:\n- generation of anonymous virtual datasets\n- qualification of these datsets as anonymous data\n\nMethod reference:\nTBD", "description_html": "<p>Using an AI algorithm to produce virtual anonymized datasets imitating real data.\nThis could help companies to easily access to datasets thanks to anonymization.</p>\n<p>Method Description:\nDepending on the SME needs and available ressources, this service may include all or part of the following task list:\n- generation of anonymous virtual datasets\n- qualification of these datsets as anonymous data</p>\n<p>Method reference:\nTBD</p>", "service_provider": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_id": 515, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_institution_id": 515, "service_provider_hierarchy": [{"id": 515, "name": "Centre Hospitalier Universitaire De Grenoble (CHUGA)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 11, "name": "Data Provisioning & Generation"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 36, "name": 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Access: 7- Dataset Navigation and exploration", "unique_identifier": "721942f5-0903-4643-8e14-fb461439c02e", "description": "This service will offer the possibility for SME to navigate interactively throught datasets thanks to an API developed within the CHUGA. It allows to select interactivly data and to visualize it thanks to BI tools. A short period of training is needed to be fully autonomous and able to exploit the full potential of the app.\n\nMethod Description:\nDeployment of an API  on a secure environment to navigate and vizualize interactively data. ", "description_html": "<p>This service will offer the possibility for SME to navigate interactively throught datasets thanks to an API developed within the CHUGA. It allows to select interactivly data and to visualize it thanks to BI tools. A short period of training is needed to be fully autonomous and able to exploit the full potential of the app.</p>\n<p>Method Description:\nDeployment of an API  on a secure environment to navigate and vizualize interactively data. </p>", "service_provider": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_id": 515, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_institution_id": 515, "service_provider_hierarchy": [{"id": 515, "name": "Centre Hospitalier Universitaire De Grenoble (CHUGA)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "60-135 EUR", "reduced_price": "40-135 EUR", "popularity": 0, "service_standard_legacy": "TBD", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 338, "name": "V-Data Processing (curation, preprocessing & standardization, mining, visualization, anonymization, FAIR, etc.)", "domain": "Data"}, {"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs"]}, {"id": 272, "name": "Datasets Access: 8- Scientific dissimination", "unique_identifier": "b530796d-cf03-4257-9ed5-eec1a7e0f5f2", "description": "The role of this service is to support the promotion and exploitation of research undertaken from an academic point of view. In particular, this involves proofreading and writing scientific articles, as well as participating in scientific conferences. The scientific commercialization service is therefore essential to ensure the dissemination and visibility of research results.\u200b\n\nPrerequisite: The study must have been conducted thought our other services.\n\nMethod Description:\nDepending on the SME needs and available ressources, this service may include all or part of the following task list:\n- Scientific article writing [optional]\n- Proofreading and advice on writing scientific articles [optional]\n- Participation in scientific events (conferences, etc...) [optional]\n\nMethod reference:\nBased on scientific and clinical expertise", "description_html": "<p>The role of this service is to support the promotion and exploitation of research undertaken from an academic point of view. In particular, this involves proofreading and writing scientific articles, as well as participating in scientific conferences. The scientific commercialization service is therefore essential to ensure the dissemination and visibility of research results.\u200b</p>\n<p>Prerequisite: The study must have been conducted thought our other services.</p>\n<p>Method Description:\nDepending on the SME needs and available ressources, this service may include all or part of the following task list:\n- Scientific article writing [optional]\n- Proofreading and advice on writing scientific articles [optional]\n- Participation in scientific events (conferences, etc...) [optional]</p>\n<p>Method reference:\nBased on scientific and clinical expertise</p>", "service_provider": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_id": 515, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_institution_id": 515, "service_provider_hierarchy": [{"id": 515, "name": "Centre Hospitalier Universitaire De Grenoble (CHUGA)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [], "medical_domains": [], "ontology_categories": [{"id": 1, "name": "Consulting"}, {"id": 30, "name": "Scientific Communication & Publications"}, {"id": 31, "name": "Expert 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of datasets", "unique_identifier": "a4eb4bfc-48c8-4162-aa10-8aee3f41d4f7", "description": "Providing expertise and recommendations on the handling and standardization of data.\n\nMethod Description:\nIndividual recommendations for data storage and retrival, considerations regarding usage of datasets in ML\n\nMethod reference:\n", "description_html": "<p>Providing expertise and recommendations on the handling and standardization of data.</p>\n<p>Method Description:\nIndividual recommendations for data storage and retrival, considerations regarding usage of datasets in ML</p>\n<p>Method reference:</p>", "service_provider": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)", "service_provider_id": 513, "service_provider_logo": "", "service_provider_institution": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)", "service_provider_institution_id": 513, "service_provider_hierarchy": [{"id": 513, "name": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 38, "name": "FAIR Data & Standardization"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "120 EUR", "reduced_price": "No discount can be provided", "popularity": 0, "service_standard_legacy": "None", "certification_support_legacy": "None", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 339, "name": "C-Data (FAIRness, preprocessing, standardization, best practices, etc.)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs", "tier2.existing_data"]}, {"id": 274, "name": "Recommendations on analysing and testing for biases in datasets", "unique_identifier": "c7049c9f-e33c-433e-8557-fa0a544e703b", "description": "Providing expertise and recommendations on analysing biases in the dataset or between datasets that could influence the performance of the algorithm. Differences could, for example, be caused by measurement devices or the operator. \n\nMethod Description:\nFor unknown biases can be tested with, for example, clustering algorithms or layer-wise relevance propagation for supervised learning.\n\nMethod reference:\n", "description_html": "<p>Providing expertise and recommendations on analysing biases in the dataset or between datasets that could influence the performance of the algorithm. Differences could, for example, be caused by measurement devices or the operator. </p>\n<p>Method Description:\nFor unknown biases can be tested with, for example, clustering algorithms or layer-wise relevance propagation for supervised learning.</p>\n<p>Method reference:</p>", "service_provider": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)", "service_provider_id": 513, "service_provider_logo": "", "service_provider_institution": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)", "service_provider_institution_id": 513, "service_provider_hierarchy": [{"id": 513, "name": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 37, "name": "Data Quality Assessment"}, {"id": 41, "name": "Explainability & Fairness Testing"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "120 EUR", "reduced_price": "No discount can be provided", "popularity": 0, "service_standard_legacy": "None", "certification_support_legacy": "None", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 339, "name": "C-Data (FAIRness, preprocessing, standardization, best practices, etc.)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 275, "name": "Recommendations on testing and evaluating explainability, robustness, and performance", "unique_identifier": "926778ee-ffa9-444c-b43f-091297debaf9", "description": "Providing expertise and recommendations on how to test and how to evaluate AI systems with respect to explainability, robustness, and performance.\n\nMethod Description:\n\n\nMethod reference:\ne.g. https://doi.org/10.1007/s10489-023-04532-5", "description_html": "<p>Providing expertise and recommendations on how to test and how to evaluate AI systems with respect to explainability, robustness, and performance.</p>\n<p>Method Description:</p>\n<p>Method reference:\ne.g. https://doi.org/10.1007/s10489-023-04532-5</p>", "service_provider": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)", "service_provider_id": 513, "service_provider_logo": "", "service_provider_institution": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)", "service_provider_institution_id": 513, "service_provider_hierarchy": [{"id": 513, "name": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 13, "name": "Transparency and provision of information to deployers", "code": "art_13", "number": "Art. 13"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 41, "name": "Explainability & Fairness Testing"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "120 EUR", "reduced_price": "No discount can be provided", "popularity": 1, "service_standard_legacy": "None", "certification_support_legacy": "None", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 356, "name": "C-Development of conformity evaluation standards, protocols & tools", "domain": "Development"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 276, "name": "Software framework for the comparison and benchmarking of AI and traditional algorithm", "unique_identifier": "7a96d86d-07a2-48f9-bfa1-35affbe3b6f0", "description": "Providing an Open Source software framework to simplify the comparison of ML and traditional algorithms\n\nMethod Description:\nA generic way to build object-oriented datasets and algorithm pipelines and tools to evaluate them.\n\nMethod reference:\nhttps://github.com/mad-lab-fau/tpcp", "description_html": "<p>Providing an Open Source software framework to simplify the comparison of ML and traditional algorithms</p>\n<p>Method Description:\nA generic way to build object-oriented datasets and algorithm pipelines and tools to evaluate them.</p>\n<p>Method reference:\nhttps://github.com/mad-lab-fau/tpcp</p>", "service_provider": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)", "service_provider_id": 513, "service_provider_logo": "", "service_provider_institution": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)", "service_provider_institution_id": 513, "service_provider_hierarchy": [{"id": 513, "name": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "120 EUR", "reduced_price": "No discount can be provided", "popularity": 0, "service_standard_legacy": "None", "certification_support_legacy": "None", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 363, "name": "V-Platform (trusted research environment, authentication federation, etc.)", "domain": "Platform"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 278, "name": "Software Framework for human gait analysis using IMUs", "unique_identifier": "0617a63e-06c9-4d0f-973f-b758fc521d90", "description": "Providing an Open Source software framework to analyze IMU data for human gait and movement analysis\n\nMethod Description:\nPython library for extraction of Spatial-Temporal gait parameters from raw IMU data\n\nMethod reference:\nhttps://github.com/mad-lab-fau/gaitmap", "description_html": "<p>Providing an Open Source software framework to analyze IMU data for human gait and movement analysis</p>\n<p>Method Description:\nPython library for extraction of Spatial-Temporal gait parameters from raw IMU data</p>\n<p>Method reference:\nhttps://github.com/mad-lab-fau/gaitmap</p>", "service_provider": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)", "service_provider_id": 513, "service_provider_logo": "", "service_provider_institution": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)", "service_provider_institution_id": 513, "service_provider_hierarchy": [{"id": 513, "name": "Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [{"id": 33, "name": "Rehabilitation Medicine", "code": "REHB"}], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 3, "name": "Software & AI"}, {"id": 43, "name": "Software Development & Cybersecurity"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "120 EUR", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 338, "name": "V-Data Processing (curation, preprocessing & standardization, mining, visualization, anonymization, FAIR, etc.)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.existing_data"]}, {"id": 281, "name": "Identification and enablement of existing health data for AI solutions", "unique_identifier": "c2c1ca5d-f119-45ca-ba81-6f6585a6c58b", "description": "## Overview  \n\nIdentifying and acquiring existing data sets\u2014full-service data management.  \nThis service identifies data sets and makes them available to SME\u2019s for TEF-project purposes, such as validation and testing of AI systems. Data can be collected from routine health records and local, regional, and national databases in collaboration with healthcare providers in Sweden.  \n\nWe provide expertise and technical support in the following areas:  \n\n- Project design & management  \n- Ethical application support  \n- Data assembly  \n- Data cleaning, annotation, anonymisation  \n\n### How can the service help you?  \n\nAccess to existing health data can help you validate your AI solution without needing to generate new data. We provide access to high quality datasets for validation and testing of your AI system to facilitate placing it on the market, and supporting to increase its market readiness level. Validation and testing data can be used for independent performance evaluation of your AI system in a real-world or simulated environment.  \n\n### How the service will be delivered?  \n\nThe service will be delivered according to established ethical agreements and guidelines, in collaboration with the SME and researchers from the Swedish TEF-Health node. Data usage is facilitated through a secure virtual environment managed by Karolinska Institutet, ensuring the highest standards of data protection.  \n\n---\n\n## Additional information  \n\n### Provider description  \n\nThe Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.  \n\n### Technical description  \n\nData access and usage are facilitated through a secure environment managed by Karolinska Institutet. Datasets will be identified and made available to suit your AI system, to support with testing and validating your solution. The data will be tailored to your specific request to ensure it is compatible with your AI system, with full support from Karolinska Insitutet to ensure compliance with all relevant regulations. Upon completion of this service, you will receive an evaluation of the performance of your AI system, which can support the placing of your solution on the EU market.  \n\n### Service customization  \n\nThe service can be customised according to your specific needs, taking into account which type of data you require.  \n\n---\n\n## Use case example  \n\n### Context  \n\nA biotech SME is developing an AI-based system designed to improve cancer diagnosis, treatment planning, and prognosis prediction. To gain regulatory approval and to facilitate market entry, the SME requires access to diverse, high-quality datasets, including cancer imaging, electronic healthcare records (EHR), and multi-omics data, for independent performance evaluation.  \n\n### Objective  \n\nThe goal is to validate the AI system's ability to analyze complex datasets and deliver accurate, reliable outputs in simulated and real-world scenarios.  \n\n### Solution  \n\nThe identification and enablement of existing health data for AI solutions service, provided by the Swedish TEF-Health node in collaboration with Karolinska Institutet, offers ethically sourced datasets tailored to the SME\u2019s needs.  \n\n### Implementation  \n\n#### Ethical Agreement  \n\nThe SME enters into an ethical agreement with researchers from the Swedish TEF-Health node, ensuring all data collection and usage comply with GDPR and national Swedish regulations.  \n\n#### Data Collection  \n\n- Cancer Imaging Data: Retrospective datasets from imaging modalities like CT, MRI, and PET scans, annotated for various cancer types and stages.  \n- EHR Data: Pseudonymised clinical data, including patient histories, treatment outcomes, and longitudinal follow-up records.  \n- Omics Data: Retrospective genomic, transcriptomic, and proteomic datasets linked to cancer cases.  \n\n#### Secure Access  \n\nUsage of the collected data is facilitated through a secure virtual environment managed by Karolinska Institutet, ensuring the highest standards of data protection.  \n\n#### Validation and Testing  \n\nThrough a collaboration between Karolinska Institutet and the SME, the dataset is used to test the AI system's ability to:  \n\n- Detect cancer accurately across imaging modalities.  \n- Predict treatment responses and outcomes using combined EHR and omics data.  \n- Identify biomarkers associated with different cancer subtypes and prognostic outcomes.  \n\n### Outcome  \n\nFollowing the validation and testing, the AI system can be shown for its robustness, accuracy, and reliability, supporting regulatory approval and enhancing confidence for healthcare providers and stakeholders.  \n\n### Benefits  \n\n- **Comprehensive Dataset**: Integration of imaging, EHR, and omics data ensures the AI system is tested across real-world complexities.  \n- **Ethical and Secure**: Compliance with ethical guidelines builds trust and supports regulatory approval.  \n- **Accelerated Innovation**: Access to retrospective data saves time, allowing the SME to focus on model optimization and deployment.  \n\n### Impact  \n\nThe validated AI system enhances early cancer detection and personalized treatment planning, improving patient outcomes while streamlining healthcare workflows.   \n", "description_html": "<h2>Overview</h2>\n<p>Identifying and acquiring existing data sets\u2014full-service data management.<br>\nThis service identifies data sets and makes them available to SME\u2019s for TEF-project purposes, such as validation and testing of AI systems. Data can be collected from routine health records and local, regional, and national databases in collaboration with healthcare providers in Sweden.  </p>\n<p>We provide expertise and technical support in the following areas:  </p>\n<ul>\n<li>Project design &amp; management  </li>\n<li>Ethical application support  </li>\n<li>Data assembly  </li>\n<li>Data cleaning, annotation, anonymisation  </li>\n</ul>\n<h3>How can the service help you?</h3>\n<p>Access to existing health data can help you validate your AI solution without needing to generate new data. We provide access to high quality datasets for validation and testing of your AI system to facilitate placing it on the market, and supporting to increase its market readiness level. Validation and testing data can be used for independent performance evaluation of your AI system in a real-world or simulated environment.  </p>\n<h3>How the service will be delivered?</h3>\n<p>The service will be delivered according to established ethical agreements and guidelines, in collaboration with the SME and researchers from the Swedish TEF-Health node. Data usage is facilitated through a secure virtual environment managed by Karolinska Institutet, ensuring the highest standards of data protection.  </p>\n<hr>\n<h2>Additional information</h2>\n<h3>Provider description</h3>\n<p>The Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.  </p>\n<h3>Technical description</h3>\n<p>Data access and usage are facilitated through a secure environment managed by Karolinska Institutet. Datasets will be identified and made available to suit your AI system, to support with testing and validating your solution. The data will be tailored to your specific request to ensure it is compatible with your AI system, with full support from Karolinska Insitutet to ensure compliance with all relevant regulations. Upon completion of this service, you will receive an evaluation of the performance of your AI system, which can support the placing of your solution on the EU market.  </p>\n<h3>Service customization</h3>\n<p>The service can be customised according to your specific needs, taking into account which type of data you require.  </p>\n<hr>\n<h2>Use case example</h2>\n<h3>Context</h3>\n<p>A biotech SME is developing an AI-based system designed to improve cancer diagnosis, treatment planning, and prognosis prediction. To gain regulatory approval and to facilitate market entry, the SME requires access to diverse, high-quality datasets, including cancer imaging, electronic healthcare records (EHR), and multi-omics data, for independent performance evaluation.  </p>\n<h3>Objective</h3>\n<p>The goal is to validate the AI system's ability to analyze complex datasets and deliver accurate, reliable outputs in simulated and real-world scenarios.  </p>\n<h3>Solution</h3>\n<p>The identification and enablement of existing health data for AI solutions service, provided by the Swedish TEF-Health node in collaboration with Karolinska Institutet, offers ethically sourced datasets tailored to the SME\u2019s needs.  </p>\n<h3>Implementation</h3>\n<h4>Ethical Agreement</h4>\n<p>The SME enters into an ethical agreement with researchers from the Swedish TEF-Health node, ensuring all data collection and usage comply with GDPR and national Swedish regulations.  </p>\n<h4>Data Collection</h4>\n<ul>\n<li>Cancer Imaging Data: Retrospective datasets from imaging modalities like CT, MRI, and PET scans, annotated for various cancer types and stages.  </li>\n<li>EHR Data: Pseudonymised clinical data, including patient histories, treatment outcomes, and longitudinal follow-up records.  </li>\n<li>Omics Data: Retrospective genomic, transcriptomic, and proteomic datasets linked to cancer cases.  </li>\n</ul>\n<h4>Secure Access</h4>\n<p>Usage of the collected data is facilitated through a secure virtual environment managed by Karolinska Institutet, ensuring the highest standards of data protection.  </p>\n<h4>Validation and Testing</h4>\n<p>Through a collaboration between Karolinska Institutet and the SME, the dataset is used to test the AI system's ability to:  </p>\n<ul>\n<li>Detect cancer accurately across imaging modalities.  </li>\n<li>Predict treatment responses and outcomes using combined EHR and omics data.  </li>\n<li>Identify biomarkers associated with different cancer subtypes and prognostic outcomes.  </li>\n</ul>\n<h3>Outcome</h3>\n<p>Following the validation and testing, the AI system can be shown for its robustness, accuracy, and reliability, supporting regulatory approval and enhancing confidence for healthcare providers and stakeholders.  </p>\n<h3>Benefits</h3>\n<ul>\n<li><strong>Comprehensive Dataset</strong>: Integration of imaging, EHR, and omics data ensures the AI system is tested across real-world complexities.  </li>\n<li><strong>Ethical and Secure</strong>: Compliance with ethical guidelines builds trust and supports regulatory approval.  </li>\n<li><strong>Accelerated Innovation</strong>: Access to retrospective data saves time, allowing the SME to focus on model optimization and deployment.  </li>\n</ul>\n<h3>Impact</h3>\n<p>The validated AI system enhances early cancer detection and personalized treatment planning, improving patient outcomes while streamlining healthcare workflows.   </p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 11, "name": "Oncology", "code": "ONCO"}], "ontology_categories": [{"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 36, "name": "Privacy & Anonymization"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "Per hour", "full_price": "115 EUR", "reduced_price": "0-110 EUR", "popularity": 8, "service_standard_legacy": "To be defined", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs", "tier2.existing_data"]}, {"id": 282, "name": "Prospective data set collection", "unique_identifier": "7dd6314a-4a65-4be8-a3f9-e745799d1d4c", "description": "The Swedish node is a collaboration between Karolinska Institutet, SciLifeLab and RISE. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.\n\nProspective data set collection: \nA full-service collection of new data sets. This service serves to create data sets on-demand according to the needs and requirements of the SME for TEF-project purposes, such as validation. Data sets will primarily comprise in vivo imaging data (PET, CT, MRI, MEG, EEG), ex vivo imaging, and OMICS data within neuro and cancer. Data can be generated by CIR and SciLifeLab infrastructures within our \u201cPhysical Testing\u201d services or assembled from publicly available databases and research collaborations.\n\nWe provide expertise and technical support in the following areas:\no\tProject design& management\no\tEthical application support\no\tData collection\no\tData assembly \no\tData cleaning, annotation, anonymisation\n\nThis service can typically directly collaborate with \u201cphysical testing services\u201d and technology infrastructures to generate raw data material.\n", "description_html": "<p>The Swedish node is a collaboration between Karolinska Institutet, SciLifeLab and RISE. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.</p>\n<p>Prospective data set collection: \nA full-service collection of new data sets. This service serves to create data sets on-demand according to the needs and requirements of the SME for TEF-project purposes, such as validation. Data sets will primarily comprise in vivo imaging data (PET, CT, MRI, MEG, EEG), ex vivo imaging, and OMICS data within neuro and cancer. Data can be generated by CIR and SciLifeLab infrastructures within our \u201cPhysical Testing\u201d services or assembled from publicly available databases and research collaborations.</p>\n<p>We provide expertise and technical support in the following areas:\no   Project design&amp; management\no   Ethical application support\no   Data collection\no   Data assembly \no   Data cleaning, annotation, anonymisation</p>\n<p>This service can typically directly collaborate with \u201cphysical testing services\u201d and technology infrastructures to generate raw data material.</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 10, "name": "Neurology", "code": "NEUR"}, {"id": 11, "name": "Oncology", "code": "ONCO"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 65, "name": "Genomics & Omics"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "Per hour", "full_price": "115 EUR", "reduced_price": "0-110 EUR", "popularity": 3, "service_standard_legacy": "To be defined", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.existing_data"]}, {"id": 283, "name": "Data and metadata organisation", "unique_identifier": "baeb819c-05f8-41b1-b758-ae401130955c", "description": "## Overview  \n\nThis service provides a complete organisation or re-organisation of your datasets as well as guidance in selecting the most appropriate metadata management methodology. We offer data cleaning (e.g., renaming, annotation, formatting, and duplicate removal), quality control, and anonymization tailored to SME needs. This service aims to provide assistance based on a dataset management plan. We follow community data and metadata standards in place and offer curated, up-to-date guidance based on FAIR principles (Findable, Accessible, Interoperable and Reusable) whenever possible. We have expertise in data and metadata standards in many life science fields, including, more specifically, imaging (PET, MRI, MEG, EEG) and structural data, genomics, metabolomics, and proteomics data. Expertise in legal and ethical aspects of dataset management can also be provided.  \n\nWe provide expertise and technical support in the following areas:  \n\n- Project design & management  \n- Legal & ethical support  \n- Data cleaning, annotation, anonymisation  \n\n### How can the service help you?  \n\nThis service helps SMEs improve the organization and usability of their datasets by providing data cleaning, quality control, and anonymization tailored to their needs. With expert guidance on metadata management and adherence to FAIR principles, it ensures your data is reliable, compliant, and ready for effective use, building trust and confidence in your data-driven initiatives.  \n\n### How the service will be delivered?  \n\nThe service will be delivered according to established ethical agreements and guidelines, in collaboration with the SME and researchers from the Swedish TEF-Health node. Data processing is facilitated through a secure virtual environment managed by Karolinska Institutet, ensuring the highest standards of data protection.  \n\n---\n\n## Additional information  \n\n### Provider description  \n\nThe Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.  \n\n### Technical description  \n\nThe service restructures and processes datasets within a secure computing environment utilizing advanced data curation and metadata management frameworks. Data preprocessing operations, including nomenclature standardization, semantic annotation and format normalization are executed in compliance with domain-specific ontologies and if possible FAIR principles. Quality assurance protocols are implemented to validate data integrity and compliance. Metadata schemas are optimized for interoperability and reuse, leveraging established standards such as RDF and JSON-LD.  \n\n### Service customization  \n\nThe service can be customized according to your specific needs. It may be required to combine this service with other services on offer.  \n\n---\n\n## Use case example  \n\n### Context  \n\nA life science SME specializing in metabolomics has developed a novel pipeline for identifying biomarkers in rare metabolic disorders. They have generated extensive LC-MS/MS datasets from patient samples across multiple studies. However, the datasets are stored in a mix of proprietary formats, lack harmonized metadata and do not meet the submission requirements of repositories like MetaboLights. This situation delays the publication of their findings, limiting their visibility and ability to secure collaborations or funding for further pipeline validation.  \n\n### Objective  \n\nTo clean, harmonize and annotate the SME\u2019s LC-MS/MS datasets according to MetaboLights requirements. Ensure compliance with FAIR principles to facilitate immediate repository submission and support future scalability.  \n\n### Solution  \n\nThe SME engages with the Swedish TEF-Health node to reorganize and optimize their metabolomics datasets for repository submission. Experts provide tailored data cleaning, format conversion, and metadata harmonization, ensuring compatibility with repository standards and enabling wider reuse of the data.  \n\n### Implementation  \n\n#### Ethical Agreement  \n\nThe SME enters into an ethical agreement with researchers from the Swedish TEF-Health node, ensuring all data collection and usage complies with GDPR and national Swedish regulations.  \n\n#### Secure Access  \n\nUsage of the collected data is facilitated through a secure virtual environment managed by Karolinska Institutet, ensuring the highest standards of data protection.  \n\n#### Data Processing and Format Conversion  \n\nThe SME\u2019s raw datasets, stored in various proprietary formats, are converted into open formats such as mzML and mzTab, which are compatible with repository requirements. During this process, quality control measures, including noise filtering and peak annotation, are applied to improve data integrity and reliability.  \n\n#### Metadata Harmonization  \n\nMetadata schemas based on MetaboLights standards are created. These schemas incorporate essential details about study design, sample preparation and instrument parameters. Ontology based annotation is applied to harmonize metadata across all datasets, ensuring consistency and compliance with repository guidelines.  \n\n### Benefits  \n\n- **FAIR Data Management**: Enhances SMEs\u2019 ability to manage and share clinical trial data effectively while ensuring interoperability and quality.  \n- **Stakeholder Credibility**: A well-structured data management plan builds trust with regulators, funders, and collaborators.  \n- **Regulatory Compliance**: Ensures adherence to ethical and legal standards, reducing data handling risks.  \n- **Data Sustainability**: Supports long-term usability and scalability, enabling future research opportunities.  \n\n### Impact  \n\nThe SME\u2019s biomarker discovery pipeline gains recognition as a reliable and validated tool in the rare disease research community. Their repository-submitted data fosters new collaborations with academic researchers and industry stakeholders, accelerating the translation of their findings into clinical applications.  ", "description_html": "<h2>Overview</h2>\n<p>This service provides a complete organisation or re-organisation of your datasets as well as guidance in selecting the most appropriate metadata management methodology. We offer data cleaning (e.g., renaming, annotation, formatting, and duplicate removal), quality control, and anonymization tailored to SME needs. This service aims to provide assistance based on a dataset management plan. We follow community data and metadata standards in place and offer curated, up-to-date guidance based on FAIR principles (Findable, Accessible, Interoperable and Reusable) whenever possible. We have expertise in data and metadata standards in many life science fields, including, more specifically, imaging (PET, MRI, MEG, EEG) and structural data, genomics, metabolomics, and proteomics data. Expertise in legal and ethical aspects of dataset management can also be provided.  </p>\n<p>We provide expertise and technical support in the following areas:  </p>\n<ul>\n<li>Project design &amp; management  </li>\n<li>Legal &amp; ethical support  </li>\n<li>Data cleaning, annotation, anonymisation  </li>\n</ul>\n<h3>How can the service help you?</h3>\n<p>This service helps SMEs improve the organization and usability of their datasets by providing data cleaning, quality control, and anonymization tailored to their needs. With expert guidance on metadata management and adherence to FAIR principles, it ensures your data is reliable, compliant, and ready for effective use, building trust and confidence in your data-driven initiatives.  </p>\n<h3>How the service will be delivered?</h3>\n<p>The service will be delivered according to established ethical agreements and guidelines, in collaboration with the SME and researchers from the Swedish TEF-Health node. Data processing is facilitated through a secure virtual environment managed by Karolinska Institutet, ensuring the highest standards of data protection.  </p>\n<hr>\n<h2>Additional information</h2>\n<h3>Provider description</h3>\n<p>The Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.  </p>\n<h3>Technical description</h3>\n<p>The service restructures and processes datasets within a secure computing environment utilizing advanced data curation and metadata management frameworks. Data preprocessing operations, including nomenclature standardization, semantic annotation and format normalization are executed in compliance with domain-specific ontologies and if possible FAIR principles. Quality assurance protocols are implemented to validate data integrity and compliance. Metadata schemas are optimized for interoperability and reuse, leveraging established standards such as RDF and JSON-LD.  </p>\n<h3>Service customization</h3>\n<p>The service can be customized according to your specific needs. It may be required to combine this service with other services on offer.  </p>\n<hr>\n<h2>Use case example</h2>\n<h3>Context</h3>\n<p>A life science SME specializing in metabolomics has developed a novel pipeline for identifying biomarkers in rare metabolic disorders. They have generated extensive LC-MS/MS datasets from patient samples across multiple studies. However, the datasets are stored in a mix of proprietary formats, lack harmonized metadata and do not meet the submission requirements of repositories like MetaboLights. This situation delays the publication of their findings, limiting their visibility and ability to secure collaborations or funding for further pipeline validation.  </p>\n<h3>Objective</h3>\n<p>To clean, harmonize and annotate the SME\u2019s LC-MS/MS datasets according to MetaboLights requirements. Ensure compliance with FAIR principles to facilitate immediate repository submission and support future scalability.  </p>\n<h3>Solution</h3>\n<p>The SME engages with the Swedish TEF-Health node to reorganize and optimize their metabolomics datasets for repository submission. Experts provide tailored data cleaning, format conversion, and metadata harmonization, ensuring compatibility with repository standards and enabling wider reuse of the data.  </p>\n<h3>Implementation</h3>\n<h4>Ethical Agreement</h4>\n<p>The SME enters into an ethical agreement with researchers from the Swedish TEF-Health node, ensuring all data collection and usage complies with GDPR and national Swedish regulations.  </p>\n<h4>Secure Access</h4>\n<p>Usage of the collected data is facilitated through a secure virtual environment managed by Karolinska Institutet, ensuring the highest standards of data protection.  </p>\n<h4>Data Processing and Format Conversion</h4>\n<p>The SME\u2019s raw datasets, stored in various proprietary formats, are converted into open formats such as mzML and mzTab, which are compatible with repository requirements. During this process, quality control measures, including noise filtering and peak annotation, are applied to improve data integrity and reliability.  </p>\n<h4>Metadata Harmonization</h4>\n<p>Metadata schemas based on MetaboLights standards are created. These schemas incorporate essential details about study design, sample preparation and instrument parameters. Ontology based annotation is applied to harmonize metadata across all datasets, ensuring consistency and compliance with repository guidelines.  </p>\n<h3>Benefits</h3>\n<ul>\n<li><strong>FAIR Data Management</strong>: Enhances SMEs\u2019 ability to manage and share clinical trial data effectively while ensuring interoperability and quality.  </li>\n<li><strong>Stakeholder Credibility</strong>: A well-structured data management plan builds trust with regulators, funders, and collaborators.  </li>\n<li><strong>Regulatory Compliance</strong>: Ensures adherence to ethical and legal standards, reducing data handling risks.  </li>\n<li><strong>Data Sustainability</strong>: Supports long-term usability and scalability, enabling future research opportunities.  </li>\n</ul>\n<h3>Impact</h3>\n<p>The SME\u2019s biomarker discovery pipeline gains recognition as a reliable and validated tool in the rare disease research community. Their repository-submitted data fosters new collaborations with academic researchers and industry stakeholders, accelerating the translation of their findings into clinical applications.  </p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": 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empowers projects to efficiently plan and manage their data through a structured system and expert support. The system is built on the Data Stewardship Wizard (DSW), a tool developed by ELIXIR, a European life science intergovernmental organization, and operated by the SciLifeLab Data Centre. Expert data stewards provide personalized guidance, leveraging best practices and resources from the ELIXIR RDMkit and SciLifeLab\u2019s data guidelines.  \n\nWe provide expertise and technical support in the following areas:  \n\n- A comprehensive data management planning system with ready-to-use templates.  \n- Expert advice and assistance in data stewardship and management, tailored to your project\u2019s needs.  \n\nThis service ensures that your data management plan aligns with FAIR principles and established standards, promoting high-quality data practices and enabling better long-term data usability.  \n\n### How can the service help you?  \n\nThis service helps SMEs and research projects streamline their data management planning by providing access to a robust, user-friendly system and expert guidance. With tailored templates and best-practice guidelines, it ensures that your data management plan complies with established standards. By addressing critical aspects of data stewardship early in the project lifecycle, the service improves data quality, facilitates compliance, and enables better collaboration and long-term reuse of data, ensuring your project\u2019s data is FAIR (Findable, Accessible, Interoperable, and Reusable).  \n\n### How the service will be delivered?  \n\nThe service will be delivered according to established ethical agreements and guidelines, in collaboration with the SME and researchers from the Swedish TEF-Health node.  \n\n---\n\n## Additional information  \n\n### Provider description  \n\nThe Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.  \n\n### Technical description  \n\nThe service employs the DSW platform to create structured, FAIR-compliant data management plans. It provides customizable templates, enabling collaborative workflows for stakeholders. Expert guidance ensures plans meet domain-specific standards promoting data interoperability and long-term usability.  \n\n### Service customization  \n\nThe service can be customized according to your specific needs.  \n\n---\n\n## Use case example  \n\n### Context  \n\nA research-focused SME is preparing to launch a multi-center clinical trial for a new biomarker discovery project. The trial will generate extensive genomic, proteomic, and clinical datasets across multiple sites. However, the SME lacks a clear and structured approach to plan how the data will be managed, shared, and stored. Without a robust data management plan, they risk non-compliance with regulatory requirements, inefficient data handling, and challenges in ensuring data interoperability and long-term usability.  \n\n### Objective  \n\nTo develop a comprehensive data management plan tailored to the SME\u2019s clinical trial needs, using the DSW platform. Ensure the plan addresses data collection, storage, sharing, and long-term preservation while aligning with FAIR principles and regulatory requirements. Deliver a finalized plan that supports seamless collaboration across trial sites, enhances data quality, and ensures compliance with international standards for research data management.  \n\n### Solution  \n\nThe SME collaborates with the Swedish TEF-Health node to create a robust data management plan using the DSW platform. Expert data stewards guide the SME in utilizing customizable templates. The plan is developed collaboratively, addressing key areas such as data collection, metadata standards, storage solutions, and sharing protocols. Regulatory and ethical considerations, including GDPR compliance, are also incorporated. The finalized data management plan is reviewed and optimized to facilitate smooth implementation across all trial sites, ensuring scalability and long-term usability of the data.  \n\n### Implementation  \n\n#### Ethical Agreement  \n\nThe SME enters into an ethical agreement with researchers from the Swedish TEF-Health node, ensuring that all data handling comply with GDPR and Swedish national regulations.  \n\n#### Data Management Planning  \n\nUsing the DSW platform, the SME collaborates with data stewards to develop a detailed data management plan. The plan incorporates customized templates addressing key elements.  \n\n#### Review and Optimization  \n\nThe draft data management plan is reviewed collaboratively with stakeholders, ensuring it meets the specific requirements of the clinical trial and complies with all regulatory standards.  \n\n### Benefits  \n\n- **FAIR Data Management**: Enhances SMEs\u2019 ability to manage and share clinical trial data effectively while ensuring interoperability and quality.  \n- **Stakeholder Credibility**: A well-structured data management plan builds trust with regulators, funders, and collaborators.  \n- **Regulatory Compliance**: Ensures adherence to ethical and legal standards, reducing data handling risks.  \n- **Data Sustainability**: Supports long-term usability and scalability, enabling future research opportunities.  \n\n### Impact  \n\nBy ensuring high-quality, interoperable data, the SME builds trust with regulatory bodies, funding agencies, and research collaborators. This structured approach to data management fosters new collaborations, accelerates research outcomes, and positions the SME as a leader in clinical trial data handling. The long-term usability of their data enables broader scientific impact, enhancing their reputation and paving the way for future innovations.  ", "description_html": "<h2>Overview</h2>\n<p>This service empowers projects to efficiently plan and manage their data through a structured system and expert support. The system is built on the Data Stewardship Wizard (DSW), a tool developed by ELIXIR, a European life science intergovernmental organization, and operated by the SciLifeLab Data Centre. Expert data stewards provide personalized guidance, leveraging best practices and resources from the ELIXIR RDMkit and SciLifeLab\u2019s data guidelines.  </p>\n<p>We provide expertise and technical support in the following areas:  </p>\n<ul>\n<li>A comprehensive data management planning system with ready-to-use templates.  </li>\n<li>Expert advice and assistance in data stewardship and management, tailored to your project\u2019s needs.  </li>\n</ul>\n<p>This service ensures that your data management plan aligns with FAIR principles and established standards, promoting high-quality data practices and enabling better long-term data usability.  </p>\n<h3>How can the service help you?</h3>\n<p>This service helps SMEs and research projects streamline their data management planning by providing access to a robust, user-friendly system and expert guidance. With tailored templates and best-practice guidelines, it ensures that your data management plan complies with established standards. By addressing critical aspects of data stewardship early in the project lifecycle, the service improves data quality, facilitates compliance, and enables better collaboration and long-term reuse of data, ensuring your project\u2019s data is FAIR (Findable, Accessible, Interoperable, and Reusable).  </p>\n<h3>How the service will be delivered?</h3>\n<p>The service will be delivered according to established ethical agreements and guidelines, in collaboration with the SME and researchers from the Swedish TEF-Health node.  </p>\n<hr>\n<h2>Additional information</h2>\n<h3>Provider description</h3>\n<p>The Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.  </p>\n<h3>Technical description</h3>\n<p>The service employs the DSW platform to create structured, FAIR-compliant data management plans. It provides customizable templates, enabling collaborative workflows for stakeholders. Expert guidance ensures plans meet domain-specific standards promoting data interoperability and long-term usability.  </p>\n<h3>Service customization</h3>\n<p>The service can be customized according to your specific needs.  </p>\n<hr>\n<h2>Use case example</h2>\n<h3>Context</h3>\n<p>A research-focused SME is preparing to launch a multi-center clinical trial for a new biomarker discovery project. The trial will generate extensive genomic, proteomic, and clinical datasets across multiple sites. However, the SME lacks a clear and structured approach to plan how the data will be managed, shared, and stored. Without a robust data management plan, they risk non-compliance with regulatory requirements, inefficient data handling, and challenges in ensuring data interoperability and long-term usability.  </p>\n<h3>Objective</h3>\n<p>To develop a comprehensive data management plan tailored to the SME\u2019s clinical trial needs, using the DSW platform. Ensure the plan addresses data collection, storage, sharing, and long-term preservation while aligning with FAIR principles and regulatory requirements. Deliver a finalized plan that supports seamless collaboration across trial sites, enhances data quality, and ensures compliance with international standards for research data management.  </p>\n<h3>Solution</h3>\n<p>The SME collaborates with the Swedish TEF-Health node to create a robust data management plan using the DSW platform. Expert data stewards guide the SME in utilizing customizable templates. The plan is developed collaboratively, addressing key areas such as data collection, metadata standards, storage solutions, and sharing protocols. Regulatory and ethical considerations, including GDPR compliance, are also incorporated. The finalized data management plan is reviewed and optimized to facilitate smooth implementation across all trial sites, ensuring scalability and long-term usability of the data.  </p>\n<h3>Implementation</h3>\n<h4>Ethical Agreement</h4>\n<p>The SME enters into an ethical agreement with researchers from the Swedish TEF-Health node, ensuring that all data handling comply with GDPR and Swedish national regulations.  </p>\n<h4>Data Management Planning</h4>\n<p>Using the DSW platform, the SME collaborates with data stewards to develop a detailed data management plan. The plan incorporates customized templates addressing key elements.  </p>\n<h4>Review and Optimization</h4>\n<p>The draft data management plan is reviewed collaboratively with stakeholders, ensuring it meets the specific requirements of the clinical trial and complies with all regulatory standards.  </p>\n<h3>Benefits</h3>\n<ul>\n<li><strong>FAIR Data Management</strong>: Enhances SMEs\u2019 ability to manage and share clinical trial data effectively while ensuring interoperability and quality.  </li>\n<li><strong>Stakeholder Credibility</strong>: A well-structured data management plan builds trust with regulators, funders, and collaborators.  </li>\n<li><strong>Regulatory Compliance</strong>: Ensures adherence to ethical and legal standards, reducing data handling risks.  </li>\n<li><strong>Data Sustainability</strong>: Supports long-term usability and scalability, enabling future research opportunities.  </li>\n</ul>\n<h3>Impact</h3>\n<p>By ensuring high-quality, interoperable data, the SME builds trust with regulatory bodies, funding agencies, and research collaborators. This structured approach to data management fosters new collaborations, accelerates research outcomes, and positions the SME as a leader in clinical trial data handling. The long-term usability of their data enables broader scientific impact, enhancing their reputation and paving the way for future innovations.  </p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": 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anonymization, FAIR, etc.)", "domain": "Data"}, {"id": 339, "name": "C-Data (FAIRness, preprocessing, standardization, best practices, etc.)", "domain": "Data"}, {"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.existing_data"]}, {"id": 288, "name": "RISE Cyber Range \u2013 Cybersecurity Training, Testing, and Penetration Testing Environment ", "unique_identifier": "a248654d-6a24-40af-8079-06ccfe8fe8e3", "description": "RISE Cyber Range is a secure and realistic training and testing environment. The service also includes controlled penetration testing. Organizations can use the environment to practice and evaluate their ability to prevent, detect, and manage cyberattacks. The service is designed to be understandable even for non-technical decision-makers. It provides a clear picture of an organization\u2019s cybersecurity maturity.\r\nRISE Cyber Range uses highly realistic IT and OT environments. These environments are used to identify technical vulnerabilities through penetration testing. They are also used to improve incident response capabilities. The service strengthens collaboration between technical teams, management, and business functions.\r\n\r\nHow can the service help you?\r\nThe service helps organizations to:\r\n- Perform penetration testing\r\n- Train staff using realistic cyber incident scenarios\r\n- Test technical safeguards and processes in a safe environment\r\n- Evaluate organizational readiness and decision-making under pressure\r\n- Identify improvement areas before real incidents occur\r\n\r\nHow the service will be delivered\r\nThe Cyber Range environment is provided by RISE and can be delivered on-site, remotely, or as a hybrid solution depending on customer needs. Delivery is planned in close cooperation with the customer and can be conducted as a single engagement or as a series of recurring exercises over time. The duration of the exercises ranges from a few hours to several days, depending on the scenario and desired level of depth.\r\nThe customer is expected to provide high-level information about their organization, relevant threat scenarios, and participants for the exercise.\r\nRISE delivers a fully configured cyber range environment, scenario-driven attacks, facilitation, and technical and methodological support throughout the engagement. After completion of the service, the customer receives structured feedback in the form of observations, analysis, and recommendations.\r\n\r\nService customization\r\nThe service can be customized to meet the customer's specific needs, technical environment and level of maturity in cybersecurity. The assessment process begins with a joint meeting where the customer and a technical team from RISE discuss different options and tailor a service that is designed based on the customer's needs.", "description_html": "<p>RISE Cyber Range is a secure and realistic training and testing environment. The service also includes controlled penetration testing. Organizations can use the environment to practice and evaluate their ability to prevent, detect, and manage cyberattacks. The service is designed to be understandable even for non-technical decision-makers. It provides a clear picture of an organization\u2019s cybersecurity maturity.\nRISE Cyber Range uses highly realistic IT and OT environments. These environments are used to identify technical vulnerabilities through penetration testing. They are also used to improve incident response capabilities. The service strengthens collaboration between technical teams, management, and business functions.</p>\n<p>How can the service help you?\nThe service helps organizations to:\n- Perform penetration testing\n- Train staff using realistic cyber incident scenarios\n- Test technical safeguards and processes in a safe environment\n- Evaluate organizational readiness and decision-making under pressure\n- Identify improvement areas before real incidents occur</p>\n<p>How the service will be delivered\nThe Cyber Range environment is provided by RISE and can be delivered on-site, remotely, or as a hybrid solution depending on customer needs. Delivery is planned in close cooperation with the customer and can be conducted as a single engagement or as a series of recurring exercises over time. The duration of the exercises ranges from a few hours to several days, depending on the scenario and desired level of depth.\nThe customer is expected to provide high-level information about their organization, relevant threat scenarios, and participants for the exercise.\nRISE delivers a fully configured cyber range environment, scenario-driven attacks, facilitation, and technical and methodological support throughout the engagement. After completion of the service, the customer receives structured feedback in the form of observations, analysis, and recommendations.</p>\n<p>Service customization\nThe service can be customized to meet the customer's specific needs, technical environment and level of maturity in cybersecurity. The assessment process begins with a joint meeting where the customer and a technical team from RISE discuss different options and tailor a service that is designed based on the customer's needs.</p>", "service_provider": "RISE Research Institutes Of Sweden", "service_provider_id": 500, "service_provider_logo": "", "service_provider_institution": "RISE Research Institutes Of Sweden", "service_provider_institution_id": 500, "service_provider_hierarchy": [{"id": 500, "name": "RISE Research Institutes Of Sweden"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 14, "name": "Infrastructure & Platforms"}, {"id": 46, "name": "Trusted Research Environments"}, {"id": 3, "name": "Software & AI"}, {"id": 43, "name": "Software Development & Cybersecurity"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "Prices are subject to change and are indicative only. The final price (per hour and per person) will be determined in the contract between the service provider and the applicant. Facility costs will be added depending on the project. Cyber Range platform regarding to specific processes and dialogue with the applicant: price 990 EUR/day.", "full_price": "130-190 EUR per hour", "reduced_price": "90-130 EUR per hour", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 346, "name": "V-Software (development, maintenance, deployment, administration, etc.)", "domain": "Software"}, {"id": 353, "name": "V-Testing Conformity & Compliance Software (security, privacy, usability, accountability, fairness, reliability, etc.)", "domain": "Testing"}, {"id": 363, "name": "V-Platform (trusted research environment, authentication federation, etc.)", "domain": "Platform"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity"]}, {"id": 289, "name": "Sleep disorder diagnostic data and evaluation of AI based processing", "unique_identifier": "b5d9fdd3-9f9e-444c-89fc-1c6828d6a50d", "description": "Provisioning of clinical data from diagnostic procedure of sleep disorders within sleep laboratory and consultancy related to data processing and development of AI diagnostic asistance tools\n\nMethod Description:\nSleep disorder diagnostics require to record various types of data during the whole diagnostic procedure. Video, audio, ECG, EEG and other diagnostic data are being recorded during the sleep phase of a patient in the sleep laboratory. Following evaluation procedure is time consuming for a medical professional. AI based data processing and decision support system would greatly help to speed up the diagnostic procedure. UHM will provide data sets for development and testing of AI based applications which would help medical professionals within the sleep labs. Results will be evaluated by medical professionals.\n\nMethod reference:\n", "description_html": "<p>Provisioning of clinical data from diagnostic procedure of sleep disorders within sleep laboratory and consultancy related to data processing and development of AI diagnostic asistance tools</p>\n<p>Method Description:\nSleep disorder diagnostics require to record various types of data during the whole diagnostic procedure. Video, audio, ECG, EEG and other diagnostic data are being recorded during the sleep phase of a patient in the sleep laboratory. Following evaluation procedure is time consuming for a medical professional. AI based data processing and decision support system would greatly help to speed up the diagnostic procedure. UHM will provide data sets for development and testing of AI based applications which would help medical professionals within the sleep labs. Results will be evaluated by medical professionals.</p>\n<p>Method reference:</p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [{"id": 10, "name": "Neurology", "code": "NEUR"}, {"id": 16, "name": "Pneumology", "code": "PULM"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "Scope and price of the service will be individually negotiated according to SME's needs.", "full_price": "120-190 EUR", "reduced_price": "0-19 EUR", "popularity": 1, "service_standard_legacy": "various standards related to different diagnostic data (EKG, EEG etc)", "certification_support_legacy": "", "service_standards": [{"id": 51, "name": "various standards related to different diagnostic data (EKG, EEG etc)", "code": false}], "certification_ids": [], "offering_ids": [{"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.integration_hcs"]}, {"id": 290, "name": "Datasets from gastroenterology tests and procedures and evaluation of AI based data processing", "unique_identifier": "af7e83b1-9a16-48a7-981a-c4b490cad4cf", "description": "Provisioning of datasets from gastroenterology tests and procedures and consultancy related to data processing and development of AI diagnostic asistance tools\n\nMethod Description:\nThe service will provide diagnostic datasets collected during gastroenterology tests and procedures for development of AI based diagnostic assistance tools. Medical professionals will evaluate results obtained by using developed tools to assist the diagnostic procedures and tests.\n\nMethod reference:\n", "description_html": "<p>Provisioning of datasets from gastroenterology tests and procedures and consultancy related to data processing and development of AI diagnostic asistance tools</p>\n<p>Method Description:\nThe service will provide diagnostic datasets collected during gastroenterology tests and procedures for development of AI based diagnostic assistance tools. Medical professionals will evaluate results obtained by using developed tools to assist the diagnostic procedures and tests.</p>\n<p>Method reference:</p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [{"id": 1, "name": "Hepatology / Gastroenterology", "code": "GAST"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "Scope and price of the service will be individually negotiated according to SME's needs.", "full_price": "120-190 EUR", "reduced_price": "0-19 EUR", "popularity": 1, "service_standard_legacy": "various standards related to different diagnostic data (endoscopy etc)", "certification_support_legacy": "", "service_standards": [{"id": 52, "name": "various standards related to different diagnostic data (endoscopy etc)", "code": false}], "certification_ids": [], "offering_ids": [{"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.integration_hcs"]}, {"id": 291, "name": "Evaluation of AI performance in digital pathology", "unique_identifier": "00a0221c-ca7e-4234-9b75-18dc4315e45d", "description": "The service provides testing datasets from whole slide imaging for development of AI-based diagnostic assistance tools. Medical professionals evaluate results obtained by using developed tools to assist diagnostic procedures and tests.", "description_html": "<p>The service provides testing datasets from whole slide imaging for development of AI-based diagnostic assistance tools. Medical professionals evaluate results obtained by using developed tools to assist diagnostic procedures and tests.</p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 2, "name": "Pathology", "code": "PATH"}], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 2, "name": "Data"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 3, "name": "Software & AI"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "software_ai", "name": "Software & AI"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "Scope and price of the service will be individually negotiated according to SME's needs.", "full_price": "120-190 EUR", "reduced_price": "0-19 EUR", "popularity": 2, "service_standard_legacy": "image data standards; IVD", "certification_support_legacy": "", "service_standards": [{"id": 53, "name": "image data standards", "code": false}, {"id": 54, "name": "IVD", "code": false}], "certification_ids": [], "offering_ids": [], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.integration_hcs", "tier2.verification_validation_testing"]}, {"id": 292, "name": "Evaluation of AI performance in radiology", "unique_identifier": "d60e50bf-cd0d-4df8-a9b4-3bed2e547fb0", "description": "The service will provide testing datasets from radiology for development of AI based diagnostic assistance tools. Medical professionals will evaluate results obtained by using developed tools to assist the diagnostic procedures and tests.", "description_html": "<p>The service will provide testing datasets from radiology for development of AI based diagnostic assistance tools. Medical professionals will evaluate results obtained by using developed tools to assist the diagnostic procedures and tests.</p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 2, "name": "Data"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 3, "name": "Software & AI"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "software_ai", "name": "Software & AI"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "Scope and price of the service will be individually negotiated according to SME's needs.", "full_price": "120-190 EUR", "reduced_price": "0-19 EUR", "popularity": 3, "service_standard_legacy": "image data standards; IVD", "certification_support_legacy": "", "service_standards": [{"id": 53, "name": "image data standards", "code": false}, {"id": 54, "name": "IVD", "code": false}], "certification_ids": [], "offering_ids": [], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.integration_hcs", "tier2.verification_validation_testing"]}, {"id": 296, "name": "Cyber-Physical Systems Cybersecurity Testing", "unique_identifier": "11028e8f-b711-45e3-9ed0-8558bb19b34a", "description": "Cyber-Physical Systems Cybersecurity Testing ensures cyber-physical systems (CPS), such as robotic systems, comply with security requirements and standards (such as Cyber Resilience Act).\nSecurity testing includes security functional testing of the whole system, and vulnerability scanning of the software components.\nThe overall goal is to release your product without known important vulnerabilities.\n\nHow can the service help you?\nOur service is based on a custom platform that automates vulnerability scanning, penetration testing and security functional testing, with the possibility to integrate our platform in your DevSecOps activities for full security activities automation.\nThe focus on cyber-physical systems takes the form of support for physical interfaces and buses/protocols, with possible attacks on RF signals (GPS or WiFi), for example.\nOur offer differentiates from existing ones with a unique risk-based approach, where a security risk analysis drives the whole process of security testing, and by the use of open-source tools to avoid vendor lock-in.\nThe method is based on existing standards : PTES, Etsi, NIST, FDAM...\n\nHow the service will be delivered?\nBased on information provided by the customer about their system, this service offers to use our Automated Cybersecurity Testing platform, tools and method to define and perform cybersecurity tests, either on site or in our lab.\nOptionally, we can integrate our platform in your DevSecOps chain for full automation of security activities.\nOptionally, we can perform the security risk analysis that is used as input for the whole process.\nWe will provide complete test reports as well as recommendations to lower the residual risk level and attack surface of your system.\nTogether with the risk analysis, they can be used as a complete set of evidences towards authorities and customers.\n\nService deployment:\nThe service is deployed either on site or in our lab. Our test platform is made of several components : a server that stores all relevant information and generate the reports, and test workstations that can be used in our lab or at customer sites directly.\n\nService standards: PTES, Etsi, NIST, FDAM...", "description_html": "<p>Cyber-Physical Systems Cybersecurity Testing ensures cyber-physical systems (CPS), such as robotic systems, comply with security requirements and standards (such as Cyber Resilience Act).\nSecurity testing includes security functional testing of the whole system, and vulnerability scanning of the software components.\nThe overall goal is to release your product without known important vulnerabilities.</p>\n<p>How can the service help you?\nOur service is based on a custom platform that automates vulnerability scanning, penetration testing and security functional testing, with the possibility to integrate our platform in your DevSecOps activities for full security activities automation.\nThe focus on cyber-physical systems takes the form of support for physical interfaces and buses/protocols, with possible attacks on RF signals (GPS or WiFi), for example.\nOur offer differentiates from existing ones with a unique risk-based approach, where a security risk analysis drives the whole process of security testing, and by the use of open-source tools to avoid vendor lock-in.\nThe method is based on existing standards : PTES, Etsi, NIST, FDAM...</p>\n<p>How the service will be delivered?\nBased on information provided by the customer about their system, this service offers to use our Automated Cybersecurity Testing platform, tools and method to define and perform cybersecurity tests, either on site or in our lab.\nOptionally, we can integrate our platform in your DevSecOps chain for full automation of security activities.\nOptionally, we can perform the security risk analysis that is used as input for the whole process.\nWe will provide complete test reports as well as recommendations to lower the residual risk level and attack surface of your system.\nTogether with the risk analysis, they can be used as a complete set of evidences towards authorities and customers.</p>\n<p>Service deployment:\nThe service is deployed either on site or in our lab. Our test platform is made of several components : a server that stores all relevant information and generate the reports, and test workstations that can be used in our lab or at customer sites directly.</p>\n<p>Service standards: PTES, Etsi, NIST, FDAM...</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 3, "name": "Software & AI"}, {"id": 56, "name": "Conformity Assessment (Software)"}, {"id": 5, "name": "Regulatory & Certification"}, {"id": 43, "name": "Software Development & Cybersecurity"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}, {"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 1, "service_standard_legacy": "PTES, Etsi, NIST, FDAM...", "certification_support_legacy": "", "service_standards": [{"id": 58, "name": "Etsi", "code": false}, {"id": 60, "name": "FDAM", "code": false}, {"id": 59, "name": "NIST", "code": false}, {"id": 57, "name": "PTES", "code": false}], "certification_ids": [], "offering_ids": [{"id": 365, "name": "V-Software (Cybersecurity and privacy-protecting enhancements, development, maintenance, deployment, administration, etc.)", "domain": "Software"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity"]}, {"id": 297, "name": "Vulnerability Scanning and Penetration Testing for software-based products", "unique_identifier": "593ef561-79c6-4cea-9fa0-ca7c0681660f", "description": "To enhance the security of software-based products, ensure compliance, and mitigate risks, CETIC offers expertise in scanning your system with automated tools to identify known vulnerabilities and potential weak points that attackers could exploit.\nThis method involves the use of specialized software to identify security flaws, such as obsolete software versions, incorrect configurations or unsecured open ports. Once these vulnerabilities have been identified, an action plan can be drawn up, including security measures to reduce the risks.\nWe use industry standards such as OWASP Top 10 to configure the scanning process.\n\nHow can the service help you?\nWe will provide complete scan reports as well as recommendations to lower the residual risk level and attack surface of your system.\nTogether with a risk analysis, they can be used as a complete set of evidences towards authorities and customers.\n\nHow the service will be delivered?\nOur team will carry out comprehensive vulnerability analysis for your software product, and help you define the most appropriate action plan, taking into account your specific requirements and context.\nWe scan your system using automated tools to detect known vulnerabilities or weak points that could be exploited by attackers.\nThis method involves the use of specialized software to identify security flaws, such as obsolete software versions, incorrect configurations or unsecured open ports. Once these vulnerabilities have been identified, we define with you actionable recommendations including security measures to reduce the risks.\nOptionally, we can complement with an analysis of the source code by a tool that will scan the whole codebase searching for security violations. This will further improve the cyber-resilience of your product.\nOptionally, we can perform the security risk analysis of your product.\n\nService deployment:\nThe service is usually \"deployed\" by simply having remote access to your product, so as to execute the vulnerability scanning.\nFor the optional source code analysis, we need access to the code base.\n\nResources provided to client:\nCybersecurity tests report\nRecommendations\n\nMethod reference:\nOWASP Top 10", "description_html": "<p>To enhance the security of software-based products, ensure compliance, and mitigate risks, CETIC offers expertise in scanning your system with automated tools to identify known vulnerabilities and potential weak points that attackers could exploit.\nThis method involves the use of specialized software to identify security flaws, such as obsolete software versions, incorrect configurations or unsecured open ports. Once these vulnerabilities have been identified, an action plan can be drawn up, including security measures to reduce the risks.\nWe use industry standards such as OWASP Top 10 to configure the scanning process.</p>\n<p>How can the service help you?\nWe will provide complete scan reports as well as recommendations to lower the residual risk level and attack surface of your system.\nTogether with a risk analysis, they can be used as a complete set of evidences towards authorities and customers.</p>\n<p>How the service will be delivered?\nOur team will carry out comprehensive vulnerability analysis for your software product, and help you define the most appropriate action plan, taking into account your specific requirements and context.\nWe scan your system using automated tools to detect known vulnerabilities or weak points that could be exploited by attackers.\nThis method involves the use of specialized software to identify security flaws, such as obsolete software versions, incorrect configurations or unsecured open ports. Once these vulnerabilities have been identified, we define with you actionable recommendations including security measures to reduce the risks.\nOptionally, we can complement with an analysis of the source code by a tool that will scan the whole codebase searching for security violations. This will further improve the cyber-resilience of your product.\nOptionally, we can perform the security risk analysis of your product.</p>\n<p>Service deployment:\nThe service is usually deployed by simply having remote access to your product, so as to execute the vulnerability scanning.\nFor the optional source code analysis, we need access to the code base.</p>\n<p>Resources provided to client:\nCybersecurity tests report\nRecommendations</p>\n<p>Method reference:\nOWASP Top 10</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 3, "name": "Software & AI"}, {"id": 56, "name": "Conformity Assessment (Software)"}, {"id": 5, "name": "Regulatory & Certification"}, {"id": 43, "name": "Software Development & Cybersecurity"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}, {"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 0, "service_standard_legacy": "OWASP Top 10", "certification_support_legacy": "", "service_standards": [{"id": 61, "name": "OWASP Top 10", "code": false}], "certification_ids": [], "offering_ids": [{"id": 365, "name": "V-Software (Cybersecurity and privacy-protecting enhancements, development, maintenance, deployment, administration, etc.)", "domain": "Software"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity"]}, {"id": 298, "name": "Privacy enhancing technologies development and testing", "unique_identifier": "4757167e-5a67-4b38-9b14-09fc336ce1a2", "description": "Support in setting up a privacy-preserving architecture (Secure Platform for Medical Data Analysis) on premise (local private cloud) when anonymisation/ pseudonymisation cannot be guaranteed due to the dataset or processing characteristics. Supports various privacy preserving techniques (federated learning, split learning, \u2026) and especially for multicentric approaches.\n\nMethod Description:\nSupport to install a secure architecture  for multicentric analysis of medical data with a complete federated model execution environment if needed.\nDepending of the use case, we can propose: \n   *  Design of cloud architecture\n    * Design of federated learning architecture\n    * Aggregator optimisation in federated learning\n    * Enhanced security : to secure the model shared between the partner in the coalition.\n        ** Full Homomorphic Encryption (FHE) : perform operations on encrypted data without having to decrypt it.\n        ** Secure Multi-party Computation (SMPC) : enables several parties to work together to perform calculations on shared data without revealing the underlying information.\n        ** Differential Privacy (DP) : Addition of Guissian noise in data to reinforce the protection of privacy.\n\nMethod reference:\nhttps://www.mdpi.com/1424-8220/22/2/450\nhttps://www.sciencedirect.com/science/article/abs/pii/S0020025518308338\nhttps://www.intechopen.com/chapters/45421\nhttps://ercim-news.ercim.eu/en126/special/inah-the-ethical-secure-platform-for-medical-data-analysis", "description_html": "<p>Support in setting up a privacy-preserving architecture (Secure Platform for Medical Data Analysis) on premise (local private cloud) when anonymisation/ pseudonymisation cannot be guaranteed due to the dataset or processing characteristics. Supports various privacy preserving techniques (federated learning, split learning, \u2026) and especially for multicentric approaches.</p>\n<p>Method Description:\nSupport to install a secure architecture  for multicentric analysis of medical data with a complete federated model execution environment if needed.\nDepending of the use case, we can propose: \n   *  Design of cloud architecture\n    * Design of federated learning architecture\n    * Aggregator optimisation in federated learning\n    * Enhanced security : to secure the model shared between the partner in the coalition.\n        ** Full Homomorphic Encryption (FHE) : perform operations on encrypted data without having to decrypt it.\n        ** Secure Multi-party Computation (SMPC) : enables several parties to work together to perform calculations on shared data without revealing the underlying information.\n        ** Differential Privacy (DP) : Addition of Guissian noise in data to reinforce the protection of privacy.</p>\n<p>Method reference:\nhttps://www.mdpi.com/1424-8220/22/2/450\nhttps://www.sciencedirect.com/science/article/abs/pii/S0020025518308338\nhttps://www.intechopen.com/chapters/45421\nhttps://ercim-news.ercim.eu/en126/special/inah-the-ethical-secure-platform-for-medical-data-analysis</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 14, "name": "Infrastructure & Platforms"}, {"id": 46, "name": "Trusted Research Environments"}, {"id": 3, "name": "Software & AI"}, {"id": 42, "name": "Federated Learning"}, {"id": 43, "name": "Software Development & Cybersecurity"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 1, "service_standard_legacy": "tbd", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 363, "name": "V-Platform (trusted research environment, authentication federation, etc.)", "domain": "Platform"}, {"id": 365, "name": "V-Software (Cybersecurity and privacy-protecting enhancements, development, maintenance, deployment, administration, etc.)", "domain": "Software"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs"]}, {"id": 300, "name": "Imaging data models development and consulting", "unique_identifier": "fe65d840-e022-43c3-b65a-2d0cde40f118", "description": "We specialize in developing and evaluating medical image analysis models using deep learning algorithms for tasks such as binary classification and anomaly localization. Our AI models are rigorously tested and validated in real-world hospital settings through prospective studies, ensuring their accuracy and reliability. \n\nHow can the service help you?\nWe aim to improve the clinical relevance and effectiveness of our AI models by leveraging our experience of real-world datasets achieved through close collaboration with healthcare professionals. This hands-on approach allows us to develop and evaluate AI models in real-world contexts, ensuring that they meet the specific needs of healthcare applications and work reliably in clinical environments.\n\nHow will the service be delivered?\nThe service will be delivered in several steps:\n- Consultation & Needs Assessment : Understanding your specific requirements and use cases.\n- Model Development & Optimization : Designing and optimizing AI models for medical imaging tasks.\n- Testing & Validation : Testing the models with real-world datasets to ensure performance and reliability.\n- Pretrained Pipeline Delivery : Providing custom pretrained pipelines for your needs.\n- Ongoing Support : Offering continuous support to refine and improve the models based on feedback.\n", "description_html": "<p>We specialize in developing and evaluating medical image analysis models using deep learning algorithms for tasks such as binary classification and anomaly localization. Our AI models are rigorously tested and validated in real-world hospital settings through prospective studies, ensuring their accuracy and reliability. </p>\n<p>How can the service help you?\nWe aim to improve the clinical relevance and effectiveness of our AI models by leveraging our experience of real-world datasets achieved through close collaboration with healthcare professionals. This hands-on approach allows us to develop and evaluate AI models in real-world contexts, ensuring that they meet the specific needs of healthcare applications and work reliably in clinical environments.</p>\n<p>How will the service be delivered?\nThe service will be delivered in several steps:\n- Consultation &amp; Needs Assessment : Understanding your specific requirements and use cases.\n- Model Development &amp; Optimization : Designing and optimizing AI models for medical imaging tasks.\n- Testing &amp; Validation : Testing the models with real-world datasets to ensure performance and reliability.\n- Pretrained Pipeline Delivery : Providing custom pretrained pipelines for your needs.\n- Ongoing Support : Offering continuous support to refine and improve the models based on feedback.</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [{"id": 5, "name": "Class IIa", "code": "IIa"}], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 3, "name": "Software & AI"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 0, "service_standard_legacy": "to be defined: Image analysis data Standard ", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.verification_validation_testing"]}, {"id": 303, "name": "Backend development platforms - Data & AI OPS", "unique_identifier": "e1c349cf-83a0-42de-8906-73956974567a", "description": "The collection of data from various sources (devices, files, interconnected services, etc.) is a complex step and typically falls outside the core business of medical sector companies, which aim to focus on the analysis of this data.\n\nHow can the service help you?\nThe CETIC provides access to a highly customizable catalog of tools for engineering medical data collection, storage and analysis. These tools enable : \n(a) automation of the collection of heterogeneous medical data from virtually any type of source (like IoT, API, files, remote repositories or databases, propriatary equipments, etc.) and its mapping to fully-customisable data representations enriched with semantics (DMWay tool)\n(b) a scalable and persistent data storage \n(c) easy yet powerful data analysis (TSANO tool)\n\nHow the service will be delivered?\nIt depends on the customer's need\n\nMethod reference:\nhttps://asset.cetic.be/en/dmway/\nhttps://www.cetic.be/analyse-prescriptive-au-service-de-industrie40", "description_html": "<p>The collection of data from various sources (devices, files, interconnected services, etc.) is a complex step and typically falls outside the core business of medical sector companies, which aim to focus on the analysis of this data.</p>\n<p>How can the service help you?\nThe CETIC provides access to a highly customizable catalog of tools for engineering medical data collection, storage and analysis. These tools enable : \n(a) automation of the collection of heterogeneous medical data from virtually any type of source (like IoT, API, files, remote repositories or databases, propriatary equipments, etc.) and its mapping to fully-customisable data representations enriched with semantics (DMWay tool)\n(b) a scalable and persistent data storage \n(c) easy yet powerful data analysis (TSANO tool)</p>\n<p>How the service will be delivered?\nIt depends on the customer's need</p>\n<p>Method reference:\nhttps://asset.cetic.be/en/dmway/\nhttps://www.cetic.be/analyse-prescriptive-au-service-de-industrie40</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 14, "name": "Infrastructure & Platforms"}, {"id": 3, "name": "Software & AI"}, {"id": 43, "name": "Software Development & Cybersecurity"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 1, "service_standard_legacy": "Several IoT communication standards & protocols (list : url tbc)", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs", "tier2.existing_data"]}, {"id": 304, "name": "SimSteri : Digital twin for hospital sterilization facilities", "unique_identifier": "602fcef8-d100-48c9-9e8e-3a6c39b47a31", "description": "Hospital processes optinisation. CETIC offers its expertise in the field of data management, process simulation, and other innovative expertise that could best optimize the multiple flows related to processes in a hospital, such as the sterilization process. The idea is to build a simulation model of the centralized shared sterilization process based on existing data from several hospitals in order to test and optimize the sizing of the future process.\n\nHow can the service help you?\nThis service provides a simulation service of sterilization facilities, to evaluate the sizing and robustness of such facilities against the expected flow of trays to sterilize.\n\nHow the service will be delivered?\nThe service will be delivered by first collecting relevant input data, which includes the medical tool documentation (detailing the description of medical tool sets exported from the sterilization software) and activity data (providing traceability of the passage of sets within the sterilization department). Additionally, data representing the sterilization facility and its environment, such as transportation logistics (e.g., by trucks if applicable), will be gathered.\nOnce the input data is collected, a series of scenarios will be simulated to assess the performance and capacity of the sterilization facility. These simulations will validate investment decisions by providing key performance indicators, including the occupancy rate and overall performance of the facility under various operating conditions.\n\nMethod reference:\nDiscrete event simulation", "description_html": "<p>Hospital processes optinisation. CETIC offers its expertise in the field of data management, process simulation, and other innovative expertise that could best optimize the multiple flows related to processes in a hospital, such as the sterilization process. The idea is to build a simulation model of the centralized shared sterilization process based on existing data from several hospitals in order to test and optimize the sizing of the future process.</p>\n<p>How can the service help you?\nThis service provides a simulation service of sterilization facilities, to evaluate the sizing and robustness of such facilities against the expected flow of trays to sterilize.</p>\n<p>How the service will be delivered?\nThe service will be delivered by first collecting relevant input data, which includes the medical tool documentation (detailing the description of medical tool sets exported from the sterilization software) and activity data (providing traceability of the passage of sets within the sterilization department). Additionally, data representing the sterilization facility and its environment, such as transportation logistics (e.g., by trucks if applicable), will be gathered.\nOnce the input data is collected, a series of scenarios will be simulated to assess the performance and capacity of the sterilization facility. These simulations will validate investment decisions by providing key performance indicators, including the occupancy rate and overall performance of the facility under various operating conditions.</p>\n<p>Method reference:\nDiscrete event simulation</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 3, "name": "Software & AI"}, {"id": 44, "name": "In-Silico Simulation & Digital Twins"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "per project", "full_price": "60000 EUR", "reduced_price": "40000 EUR", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.simulated_environment"]}, {"id": 305, "name": "Augmenting dispatching and management software with routing optimization algorithms", "unique_identifier": "5b36a2a2-3dbd-4b48-a9f6-084f60c81222", "description": "Logistic & Process Optimisation: Provide expertise on how to address large scale logistic, scheduling, and other combinatorial optimisation problems using constraint-based local search. \nCETIC has developed a routing optimization algorithm called RoutaR. It is based on the oscar.cbls optimization engine and on GraphHopper cartography. Both are open source.\n\nMethod Description:\nIt inputs a routing problem, expressed in a Json file format. It typically contains a set of geographic locations, a description of a fleet of vehicles and a set of constraints. It produces a routing solution; a planning of each vehicle of the considered fleet that mentions their tasks and geographic locations\n\nMethod reference:\nhttps://www.cetic.be/RoutaR-outil-de-planification-performant-et-facilement-adaptable", "description_html": "<p>Logistic &amp; Process Optimisation: Provide expertise on how to address large scale logistic, scheduling, and other combinatorial optimisation problems using constraint-based local search. \nCETIC has developed a routing optimization algorithm called RoutaR. It is based on the oscar.cbls optimization engine and on GraphHopper cartography. Both are open source.</p>\n<p>Method Description:\nIt inputs a routing problem, expressed in a Json file format. It typically contains a set of geographic locations, a description of a fleet of vehicles and a set of constraints. It produces a routing solution; a planning of each vehicle of the considered fleet that mentions their tasks and geographic locations</p>\n<p>Method reference:\nhttps://www.cetic.be/RoutaR-outil-de-planification-performant-et-facilement-adaptable</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 3, "name": "Software & AI"}, {"id": 43, "name": "Software Development & Cybersecurity"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "per project", "full_price": "60000 EUR", "reduced_price": "40000 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 309, "name": "AI Model performance evaluation", "unique_identifier": "b1c11760-2e17-430b-a1b1-43c54c573f73", "description": "This service provides an independent and reproducible evaluation of AI model performance using well-established quantitative metrics. The evaluation is conducted in a controlled and documented execution environment to ensure traceability and repeatability of results. \r\n\r\nPerformance is assessed on client-provided datasets and models, and associated measurement uncertainties are systematically analyzed and reported. The service delivers a detailed and interpretable evaluation report. All activities are performed under ISO 9001 certified processes. ", "description_html": "<p>This service provides an independent and reproducible evaluation of AI model performance using well-established quantitative metrics. The evaluation is conducted in a controlled and documented execution environment to ensure traceability and repeatability of results. </p>\n<p>Performance is assessed on client-provided datasets and models, and associated measurement uncertainties are systematically analyzed and reported. The service delivers a detailed and interpretable evaluation report. All activities are performed under ISO 9001 certified processes. </p>", "service_provider": "Multitel (MULTITEL)", "service_provider_id": 507, "service_provider_logo": 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Either ISO references, scientific literature, work done by WP7, or metrics designed by the TEF-Health consortium.", "description_html": "<p>In silico training and optimization: the customer will specify an architecture for software controllers for robotic systems, which will then be deployed in concurrent simulations for e.g., training through reinforcement learning or optimization through genetic algorithms. </p>\n<p>Performance evaluation of AI-based controllers for robotics based on virtual testing environment: the system provided by the customer, for instance a robotic device using an AI module in closed loop with sensors and actuators for sensorimotor control purposes, will be tested using a simulated environment with sufficient physical realism.</p>\n<p>Method Description:\nThe Neurorobotics Platform (NRP) is a simulation framework for implementation of highly modular, physically realistic simulations, with a focus on robotics. It also supports the execution of such simulations in the context of an online service on EBRAINS, and can be used in conjunction with standard RL or optimization frameworks. It enables the design, functional evaluation and (at the end of TEF-Health) certification activities for robotic systems, including those with AI modules embedded.</p>\n<p>Method reference:\nTo be refined depending on the type of task. 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Once training is complete, the resulting AI model is a standard, standalone tool that can be deployed and used at any location at any time, identically to a traditionally trained model.\r\nWe work closely with you to investigate the feasibility of federated learning for your specific datasets, ensuring that the resulting AI models are both high-performing and privacy-compliant. As this service is closely linked to our Privacy-Preserving Methods and Implementation offering, we integrate advanced techniques such as differential privacy or secure multi-party computation to ensure that even the model updates themselves do not leak sensitive information.\r\n\r\nHow can the service help you?\r\n\u2022\tUnlock Siloed Data: Train AI on distributed datasets that cannot be moved or merged due to legal (GDPR) or technical constraints.\r\n\u2022\tEnhance Privacy: Minimize data exposure by keeping raw patient records on-premises.\r\n\u2022\tCollaborative Innovation: Enable multiple SMEs or healthcare providers to co-develop a robust \"Global Model\" that performs better than any \"Local Model\" trained in isolation.\r\n\u2022\tRegulatory Compliance: Align your AI development with the strict requirements of the AI Act and healthcare data regulations.\r\n\r\nHow the service will be delivered\r\nLogistics: The service is delivered through the RISE Applied AI Center and can utilize the V-Platform (a Trusted Research Environment). It can be configured for on-site deployment within your infrastructure or via a cloud-federated setup. Delivery period: Engagements are planned in phases, starting with a feasibility study and moving into prototyping and implementation. Duration: Typically ranges from 3 to 6 months, depending on the complexity of the data architecture and the AI model requirements. Customer requirement: The customer must provide access to relevant use cases, problem statements, and data documentation. While raw data stays with the customer, technical access for the \"FL-client\" software is required. Deliveries: Prototyping of the FL architecture, integration of privacy-preserving hooks, and technical documentation. Output: A functional federated learning pipeline and a refined AI model optimized for distributed environments.\r\n\r\nThis service is highly modular and can be customized to match your specific industry standards, technical infrastructure, and the specific sensitivity level of your health data.\r\n\r\n\r\n\r\n\r\n\r\n", "description_html": "<p>Federated Learning (FL) is a transformative approach to Artificial Intelligence that allows models to learn from data without that data ever leaving its original location. In the healthcare sector, where patient privacy and data security are paramount, this service enables organizations to collaborate and train powerful AI models across multiple hospitals or clinics while keeping sensitive records safely behind their own firewalls.\nThis service provides a comprehensive framework for designing, prototyping, and implementing distributed AI solutions. Many high-impact healthcare applications are currently stalled because moving data to a central server is either technically impossible due to bandwidth or legally restricted by GDPR and the AI Act. Our service bridges this gap by bringing the learning to the data.\nTechnical Note: Federated Learning is used exclusively during the training phase. Once training is complete, the resulting AI model is a standard, standalone tool that can be deployed and used at any location at any time, identically to a traditionally trained model.\nWe work closely with you to investigate the feasibility of federated learning for your specific datasets, ensuring that the resulting AI models are both high-performing and privacy-compliant. As this service is closely linked to our Privacy-Preserving Methods and Implementation offering, we integrate advanced techniques such as differential privacy or secure multi-party computation to ensure that even the model updates themselves do not leak sensitive information.</p>\n<p>How can the service help you?\n\u2022   Unlock Siloed Data: Train AI on distributed datasets that cannot be moved or merged due to legal (GDPR) or technical constraints.\n\u2022   Enhance Privacy: Minimize data exposure by keeping raw patient records on-premises.\n\u2022   Collaborative Innovation: Enable multiple SMEs or healthcare providers to co-develop a robust Global Model that performs better than any Local Model trained in isolation.\n\u2022   Regulatory Compliance: Align your AI development with the strict requirements of the AI Act and healthcare data regulations.</p>\n<p>How the service will be delivered\nLogistics: The service is delivered through the RISE Applied AI Center and can utilize the V-Platform (a Trusted Research Environment). It can be configured for on-site deployment within your infrastructure or via a cloud-federated setup. Delivery period: Engagements are planned in phases, starting with a feasibility study and moving into prototyping and implementation. Duration: Typically ranges from 3 to 6 months, depending on the complexity of the data architecture and the AI model requirements. Customer requirement: The customer must provide access to relevant use cases, problem statements, and data documentation. While raw data stays with the customer, technical access for the FL-client software is required. Deliveries: Prototyping of the FL architecture, integration of privacy-preserving hooks, and technical documentation. Output: A functional federated learning pipeline and a refined AI model optimized for distributed environments.</p>\n<p>This service is highly modular and can be customized to match your specific industry standards, technical infrastructure, and the specific sensitivity level of your health data.</p>", "service_provider": "RISE Research Institutes Of Sweden", "service_provider_id": 500, "service_provider_logo": "", "service_provider_institution": "RISE Research Institutes Of Sweden", "service_provider_institution_id": 500, "service_provider_hierarchy": [{"id": 500, "name": "RISE Research Institutes Of Sweden"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 1, "name": "Consulting"}, {"id": 8, "name": "Strategic & Business Enablement"}, {"id": 27, "name": "Innovation Management"}, {"id": 3, "name": "Software & AI"}, {"id": 42, "name": "Federated Learning"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}, {"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "130-190 EUR", "reduced_price": "0-130 EUR", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 363, "name": "V-Platform (trusted research environment, authentication federation, etc.)", "domain": "Platform"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs"]}, {"id": 319, "name": "Testing and evaluation of AI algorithms", "unique_identifier": "0cfd6203-8615-41e7-982a-15c8b75f3e88", "description": "This service assesses algorithm performance, development progress, and adherence to AI Act regulations  for implementation in clinical practice.\nThe  AI validation includes several aspects, aligned with TEF guidelines, and EU regulation: \n1) Bias evaluation \n2) Accuracy evaluation\n3) Trustworthiness evaluation\n4) Uncertainty evaluation.\t\nThe validation will be offered on three levels, based on the source of the validation dataset:\n1) End-user provides the data for validation (input features)\n2) End-user provides data for validation at the start from raw data of the initial dataset (data curation and feature extraction on the validation set will be extracted by the Lab within the process of validation)\n3) The POLIMI Lab provides a tailored external validation set acquired from other clinical centers.\n\nKeywords: Validation; Bias; Accuracy, Trustworthiness, Uncertainty, AI algorighm AI validation", "description_html": "<p>This service assesses algorithm performance, development progress, and adherence to AI Act regulations  for implementation in clinical practice.\nThe  AI validation includes several aspects, aligned with TEF guidelines, and EU regulation: \n1) Bias evaluation \n2) Accuracy evaluation\n3) Trustworthiness evaluation\n4) Uncertainty evaluation.<br>\nThe validation will be offered on three levels, based on the source of the validation dataset:\n1) End-user provides the data for validation (input features)\n2) End-user provides data for validation at the start from raw data of the initial dataset (data curation and feature extraction on the validation set will be extracted by the Lab within the process of validation)\n3) The POLIMI Lab provides a tailored external validation set acquired from other clinical centers.</p>\n<p>Keywords: Validation; Bias; Accuracy, Trustworthiness, Uncertainty, AI algorighm AI validation</p>", "service_provider": "Politecnico Di Milano (POLIMI)", "service_provider_id": 508, "service_provider_logo": "", "service_provider_institution": "Politecnico Di Milano (POLIMI)", "service_provider_institution_id": 508, "service_provider_hierarchy": [{"id": 508, "name": "Politecnico Di Milano (POLIMI)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 41, "name": "Explainability & Fairness Testing"}, {"id": 3, "name": "Software & AI"}, {"id": 56, "name": "Conformity Assessment (Software)"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}, {"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Italy", "service_provider_country_flag": "\ud83c\uddee\ud83c\uddf9", "service_provider_country_code": "IT", "billing": "for validation", "full_price": "27.300EUR - 50.800EUR ", "reduced_price": "20.000EUR - 40.500EUR ", "popularity": 2, "service_standard_legacy": "AI Act", "certification_support_legacy": "", "service_standards": [{"id": 45, "name": "AI Act", "code": false}], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}, {"id": 338, "name": "V-Data Processing (curation, preprocessing & standardization, mining, visualization, anonymization, FAIR, etc.)", "domain": "Data"}, {"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}, {"id": 352, "name": "C-Scientific & Medical Communication", "domain": "Scientific"}, {"id": 353, "name": "V-Testing Conformity & Compliance Software (security, privacy, usability, accountability, fairness, reliability, etc.)", "domain": "Testing"}, {"id": 368, "name": "V-Testing Conformity & Compliance Algorithms/Models (transparency, accountability, privacy, fairness, reliability, etc.)", "domain": "Testing"}, {"id": 369, "name": "V-Testing Conformity & Compliance Data (transparency, privacy, fairness, accountability, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 320, "name": "Explainability of AI algorithms", "unique_identifier": "9dd5b394-9dad-42b8-98d3-96335d993ef8", "description": "This service provides recommendations on how to implement the explainability models on the AI system of interest. The implementation can also be performed by POLIMI expert. \n\nKeyword: Explainaibility of AI algorithm\n", "description_html": "<p>This service provides recommendations on how to implement the explainability models on the AI system of interest. The implementation can also be performed by POLIMI expert. </p>\n<p>Keyword: Explainaibility of AI algorithm</p>", "service_provider": "Politecnico Di Milano (POLIMI)", "service_provider_id": 508, "service_provider_logo": "", "service_provider_institution": "Politecnico Di Milano (POLIMI)", "service_provider_institution_id": 508, "service_provider_hierarchy": [{"id": 508, "name": "Politecnico Di Milano (POLIMI)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 13, "name": "Transparency and provision of information to deployers", "code": "art_13", "number": "Art. 13"}, {"id": 14, "name": "Human oversight", "code": "art_14", "number": "Art. 14"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 41, "name": "Explainability & Fairness Testing"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Italy", "service_provider_country_flag": "\ud83c\uddee\ud83c\uddf9", "service_provider_country_code": "IT", "billing": "for service", "full_price": "7.000EUR - 38.000EUR ", "reduced_price": "5.000EUR - 28.000EUR ", "popularity": 0, "service_standard_legacy": "AI Act", "certification_support_legacy": "", "service_standards": [{"id": 45, "name": "AI Act", "code": false}], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 338, "name": "V-Data Processing (curation, preprocessing & standardization, mining, visualization, anonymization, FAIR, etc.)", "domain": "Data"}, {"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 352, "name": "C-Scientific & Medical Communication", "domain": "Scientific"}, {"id": 353, "name": "V-Testing Conformity & Compliance Software (security, privacy, usability, accountability, fairness, reliability, etc.)", "domain": "Testing"}, {"id": 368, "name": "V-Testing Conformity & Compliance Algorithms/Models (transparency, accountability, privacy, fairness, reliability, etc.)", "domain": "Testing"}, {"id": 369, "name": "V-Testing Conformity & Compliance Data (transparency, privacy, fairness, accountability, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 321, "name": "Training, Testing and evaluation of multi-modal AI algorithms", "unique_identifier": "2e5dabbf-3bf4-4fa7-9154-f10cc2c697f9", "description": "This service provides a physical space (a multisensorial laboratory) that supports the testing and fast prototyping of multi-modal models  deployments (images, text, other medical data) at different stages (dataset preparation, training, testing and evaluation). Such physical infrastructure provides a testing backbone to support small-scale proof of concept of large scale artificial intelligent architectures including the support from HPC infrastructures.\n\nMethod Description:\nThe service support SMEs in deploying multi-modal AI models related to their specific application scenario offering a physical intelligent environment that facilitates early prototyping and controlled testing .\n\nMethod reference:\nBased on several state of the art architecture: Transformers, Diffusion Models, U-nets, and the most popular deep learning architectures.", "description_html": "<p>This service provides a physical space (a multisensorial laboratory) that supports the testing and fast prototyping of multi-modal models  deployments (images, text, other medical data) at different stages (dataset preparation, training, testing and evaluation). Such physical infrastructure provides a testing backbone to support small-scale proof of concept of large scale artificial intelligent architectures including the support from HPC infrastructures.</p>\n<p>Method Description:\nThe service support SMEs in deploying multi-modal AI models related to their specific application scenario offering a physical intelligent environment that facilitates early prototyping and controlled testing .</p>\n<p>Method reference:\nBased on several state of the art architecture: Transformers, Diffusion Models, U-nets, and the most popular deep learning architectures.</p>", "service_provider": "Fondazione Istituto Italiano Di Tecnologia (IIT)", "service_provider_id": 528, "service_provider_logo": "", "service_provider_institution": "Fondazione Istituto Italiano Di Tecnologia (IIT)", "service_provider_institution_id": 528, "service_provider_hierarchy": [{"id": 528, "name": "Fondazione Istituto Italiano Di Tecnologia (IIT)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 50, "name": "Simulated Clinical Rooms"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 16, "name": "Clinical Testbeds"}, {"id": 3, "name": "Software & AI"}, {"id": 4, "name": "Hardware & Robotics"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}, {"code": "hardware_robotics", "name": "Hardware & Robotics"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Italy", "service_provider_country_flag": "\ud83c\uddee\ud83c\uddf9", "service_provider_country_code": "IT", "billing": "per hour, depending on seniority", "full_price": "EUR 100-190", "reduced_price": "EUR 80-152", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 359, "name": "P-Testing Facility Real-World (ER, OR, ICU, office, ambulance, ward, patient home, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.testing_facilities", "tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 322, "name": "Testing of robotic prostheses and rehabilitation exoskeletons", "unique_identifier": "805faea4-2663-41b2-ac29-a78e75a485e6", "description": "This service provides a complete testing setup for gait analysis, motion capture and IEC 10328 compliance for robotic exoskeletons and prostheses. It also provides support and recommendations about how to design and develop robotic rehabilitation systems compliant to IEC 60601-1 standard.\n\nMethod Description:\nThe service will perform an assessment of wearable robotics solutions (e.g. exoskeletons and prostheses) by using a combination of the following  resources: VICON workstation with 12 cameras, sensorized treadmill, force platforms, surface electromyograph, metabolimeter.\n\nMethod reference:\nTests will be based on standards, most notably IEC 10328, when applicable. Otherwise, based on scientific methods for gait analysis.\n\nKeywords: robotics; healthcare robotics; prosthesis; orthosis; exoskeleton; testing setup.", "description_html": "<p>This service provides a complete testing setup for gait analysis, motion capture and IEC 10328 compliance for robotic exoskeletons and prostheses. It also provides support and recommendations about how to design and develop robotic rehabilitation systems compliant to IEC 60601-1 standard.</p>\n<p>Method Description:\nThe service will perform an assessment of wearable robotics solutions (e.g. exoskeletons and prostheses) by using a combination of the following  resources: VICON workstation with 12 cameras, sensorized treadmill, force platforms, surface electromyograph, metabolimeter.</p>\n<p>Method reference:\nTests will be based on standards, most notably IEC 10328, when applicable. Otherwise, based on scientific methods for gait analysis.</p>\n<p>Keywords: robotics; healthcare robotics; prosthesis; orthosis; exoskeleton; testing setup.</p>", "service_provider": "Fondazione Istituto Italiano Di Tecnologia (IIT)", "service_provider_id": 528, "service_provider_logo": "", "service_provider_institution": "Fondazione Istituto Italiano Di Tecnologia (IIT)", "service_provider_institution_id": 528, "service_provider_hierarchy": [{"id": 528, "name": "Fondazione Istituto Italiano Di Tecnologia (IIT)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [], "mdr_classes": [{"id": 5, "name": "Class IIa", "code": "IIa"}], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 32, "name": "Orthopedics", "code": "ORTH"}, {"id": 33, "name": "Rehabilitation Medicine", "code": "REHB"}], "ontology_categories": [{"id": 15, "name": "Hardware Design & Manufacturing"}, {"id": 50, "name": "Simulated Clinical Rooms"}, {"id": 16, "name": "Clinical Testbeds"}, {"id": 48, "name": "Systems Integration Testing"}, {"id": 4, "name": "Hardware & Robotics"}], "ontology_domains": [{"code": "hardware_robotics", "name": "Hardware & Robotics"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Italy", "service_provider_country_flag": "\ud83c\uddee\ud83c\uddf9", "service_provider_country_code": "IT", "billing": "per hour, depending on seniority", "full_price": "EUR 100-190", "reduced_price": "EUR 80-152", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": " IEC 10328, when applicable", "service_standards": [{"id": 42, "name": "GDPR conformity", "code": false}], "certification_ids": [{"id": 17, "name": "IEC 10328", "code": false}], "offering_ids": [{"id": 359, "name": "P-Testing Facility Real-World (ER, OR, ICU, office, ambulance, ward, patient home, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.testing_facilities", "tier2.robotics", "tier2.verification_validation_testing"]}, {"id": 323, "name": "Datasets Access: Variables selection support for clinical use cases", "unique_identifier": "ebf62640-c162-454a-a821-1d602069cfed", "description": "This service offers SMEs access to curated clinical datasets along with expert guidance in selecting relevant variables for their specific use cases. Levaraging the hospital's extensive data resources and by thoroughly understanding the clinical requirements and objectives of each study, it ensures that the chosen variables are relevant, high-quality, and fit for purpose, thereby enabling more robust, efficient, and clinically meaningful analyses. This service assists SMEs in identifying the most pertinent variables from clinical datasets to support their product development efforts. \n\n", "description_html": "<p>This service offers SMEs access to curated clinical datasets along with expert guidance in selecting relevant variables for their specific use cases. Levaraging the hospital's extensive data resources and by thoroughly understanding the clinical requirements and objectives of each study, it ensures that the chosen variables are relevant, high-quality, and fit for purpose, thereby enabling more robust, efficient, and clinically meaningful analyses. This service assists SMEs in identifying the most pertinent variables from clinical datasets to support their product development efforts. </p>", "service_provider": "Centro Hospitalar De Sao Joao Epe (CHSJ)", "service_provider_id": 522, "service_provider_logo": "", "service_provider_institution": "Centro Hospitalar De Sao Joao Epe (CHSJ)", "service_provider_institution_id": 522, "service_provider_hierarchy": [{"id": 522, "name": "Centro Hospitalar De Sao Joao Epe (CHSJ)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "32,5- 65 EUR", "reduced_price": "0-52 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 339, "name": "C-Data (FAIRness, preprocessing, standardization, best practices, etc.)", "domain": "Data"}, {"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}, {"id": 369, "name": "V-Testing Conformity & Compliance Data (transparency, privacy, fairness, accountability, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs", "tier2.existing_data"]}, {"id": 324, "name": "Datasets Access: Provision of Clinical Annoted Datasets ", "unique_identifier": "a9a7c4b0-9a81-4383-8d14-6953d4c7ddb0", "description": "The service offers SMEs access to high-quality, annotated clinical datasets with relevant clinical for testing purposes, also for re-train algorithm models. These annotated datasets enable SMEs to validate their products, such as machine learning algorithms or medical devices, using real-world clinical data. \n\n", "description_html": "<p>The service offers SMEs access to high-quality, annotated clinical datasets with relevant clinical for testing purposes, also for re-train algorithm models. 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This service assists SMEs in identifying the most pertinent variables from clinical datasets to support their product development efforts. </p>", "service_provider": "Unidade Local De Sa\u00fade De Coimbra EPE (ULS Coimbra EPE)", "service_provider_id": 529, "service_provider_logo": "", "service_provider_institution": "Unidade Local De Sa\u00fade De Coimbra EPE (ULS Coimbra EPE)", "service_provider_institution_id": 529, "service_provider_hierarchy": [{"id": 529, "name": "Unidade Local De Sa\u00fade De Coimbra EPE (ULS Coimbra EPE)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 37, "name": "Data Quality Assessment"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "32,5- 65 EUR", "reduced_price": "0-58,50 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 369, "name": "V-Testing Conformity & Compliance Data (transparency, privacy, fairness, accountability, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs", "tier2.existing_data"]}, {"id": 327, "name": "Datasets Access: Provision of Clinical Annoted Datasets ", "unique_identifier": "a5d8d1f0-a070-41ca-aa4f-7eb661af002e", "description": "The service provides access to high-quality, annotated clinical datasets that have been curated and enriched to ensure relevance, quality, and suitability for healthcare research, development, and innovation, that are relevant for testing purposes and also for retraining algorithm models. 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These annotated datasets enable SMEs to validate their products, such as machine learning algorithms or medical devices, using real-world clinical data. </p>", "service_provider": "Unidade Local De Sa\u00fade De Coimbra EPE (ULS Coimbra EPE)", "service_provider_id": 529, "service_provider_logo": "", "service_provider_institution": "Unidade Local De Sa\u00fade De Coimbra EPE (ULS Coimbra EPE)", "service_provider_institution_id": 529, "service_provider_hierarchy": [{"id": 529, "name": "Unidade Local De Sa\u00fade De Coimbra EPE (ULS Coimbra EPE)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "32,5- 65 EUR", "reduced_price": "0-58,50 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs", "tier2.existing_data"]}, {"id": 328, "name": "AI model evaluation/assessment: Clinical model validation ", "unique_identifier": "507242ad-e3f9-4d01-b1bf-63ec22717f93", "description": "The service offers SMEs expert evaluation and validation of their AI models intended for clinical use. 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These virtual populations can serve multiple purposes, from in silico trials for testing new devices and procedures, to training large deep learning models for disease-specific tasks and discoveries.</p>\n<p>Method Description:\nThe service provides synthetic datasets for AI algorithm development, AI algorithm testing and digital twin based simulations (fluidynamic/structural simulations, fluid structure interaction)</p>\n<p>Method reference:\nhttps://doi.org/10.1016/j.cmpb.2023.107468</p>", "service_provider": "Politecnico Di Milano (POLIMI)", "service_provider_id": 508, "service_provider_logo": "", "service_provider_institution": "Politecnico Di Milano (POLIMI)", "service_provider_institution_id": 508, "service_provider_hierarchy": [{"id": 508, "name": "Politecnico Di Milano (POLIMI)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [{"id": 7, "name": "Cardiology", "code": "CARD"}], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 2, "name": "Data"}, {"id": 33, "name": "Synthetic Data Generation"}, {"id": 3, "name": "Software & AI"}, {"id": 34, "name": "Virtual Cohort Generation"}, {"id": 44, "name": "In-Silico Simulation & Digital Twins"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Italy", "service_provider_country_flag": "\ud83c\uddee\ud83c\uddf9", "service_provider_country_code": "IT", "billing": "for dataset", "full_price": "27.300EUR - 50.800EUR ", "reduced_price": "20.000EUR - 40.500EUR ", "popularity": 0, "service_standard_legacy": "None to report", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}, {"id": 369, "name": "V-Testing Conformity & Compliance Data (transparency, privacy, fairness, accountability, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.simulated_environment"]}, {"id": 330, "name": "Datasets for virtual testing by AI via REST and/or SOAP services", "unique_identifier": "7511474d-e800-4016-99ca-3ae754569bc3", "description": "This service offers SMEs access to AI test datasets based on defined criteria, existing legislation and models E.g. REST and SOAP WEB Services\n\nMethod Description:\nAnalysis of the data requested including feasibility, ethical requirements, meeting with the company, data extraction and validation and secure access. \n\nMethod reference:\nData privacy impact assessment (https://www.cnil.fr/en/privacy-impact-assessment-pia), Regulation (EU) 2016/679 GDPR, Portuguese Law No.58/2019", "description_html": "<p>This service offers SMEs access to AI test datasets based on defined criteria, existing legislation and models E.g. REST and SOAP WEB Services</p>\n<p>Method Description:\nAnalysis of the data requested including feasibility, ethical requirements, meeting with the company, data extraction and validation and secure access. </p>\n<p>Method reference:\nData privacy impact assessment (https://www.cnil.fr/en/privacy-impact-assessment-pia), Regulation (EU) 2016/679 GDPR, Portuguese Law No.58/2019</p>", "service_provider": "Spms - Shared Services Of The Ministry Of Health, E.P.E", "service_provider_id": 530, "service_provider_logo": "", "service_provider_institution": "Spms - Shared Services Of The Ministry Of Health, E.P.E", "service_provider_institution_id": 530, "service_provider_hierarchy": [{"id": 530, "name": "Spms - Shared Services Of The Ministry Of Health, E.P.E"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 36, "name": "Privacy & Anonymization"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "35EUR - 220EUR /h", "reduced_price": "3,5EUR - 165EUR/h", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs"]}, {"id": 332, "name": "Brain Digital Twins for clinical and pharmacological applications", "unique_identifier": "cd85c388-9985-46ea-bf33-48e422981ace", "description": "This service offers the construction and simulation of brain digital twins for neurological and neuropharmacological applications.  \nThe simulations are typically applicable to single subject data for developing personalized medicine and pharma. \n\nMethod description:\nRaw structural and functional data is preprocessed and analyzed to create brain connectivity data. The computational framework is tuned against experimental data to simulate brain dynamics and optimize physiological parameters, e.g., excitatory and inhibitory activity.  In order to obtain personalized digital brain twin single-subject data must be used. \n\nMethod reference:\nLocal method respecting General Data Protection Regulation (GDPR)", "description_html": "<p>This service offers the construction and simulation of brain digital twins for neurological and neuropharmacological applications.<br>\nThe simulations are typically applicable to single subject data for developing personalized medicine and pharma. </p>\n<p>Method description:\nRaw structural and functional data is preprocessed and analyzed to create brain connectivity data. The computational framework is tuned against experimental data to simulate brain dynamics and optimize physiological parameters, e.g., excitatory and inhibitory activity.  In order to obtain personalized digital brain twin single-subject data must be used. </p>\n<p>Method reference:\nLocal method respecting General Data Protection Regulation (GDPR)</p>", "service_provider": "Universita Degli Studi Di Pavia (UNIPV)", "service_provider_id": 531, "service_provider_logo": "", "service_provider_institution": "Universita Degli Studi Di Pavia (UNIPV)", "service_provider_institution_id": 531, "service_provider_hierarchy": [{"id": 531, "name": "Universita Degli Studi Di Pavia (UNIPV)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [{"id": 10, "name": "Neurology", "code": "NEUR"}], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 3, "name": "Software & AI"}, {"id": 44, "name": "In-Silico Simulation & Digital Twins"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Italy", "service_provider_country_flag": "\ud83c\uddee\ud83c\uddf9", "service_provider_country_code": "IT", "billing": "per hour", "full_price": "80-160 EUR", "reduced_price": "0-80 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.simulated_environment"]}, {"id": 333, "name": "Supporting the development of Multimodal Medical Image Analysis solution based on AI", "unique_identifier": "ba0f245e-4e06-4b94-8212-480a442b018a", "description": "Help to select and to use advanced deep learning algorithms to create custom and trustworthy AI models for medical image analysis (e.g. classification, segmentation, feature extraction, anomaly localization). Depending on the modality to be processed, we propose advanced deep learning architectures (CNN, LSTM, ViT, etc.) by selecting the best approach for the task to be performed (classification, localisation, segmentation, etc.). \nKeywords: Medical Image Analysis; Deep Learning Algorithms; Binary Classification; Anomaly Localization; AI Model Development; Real-World Images; AI Testing and Validation; Collaboration with Medical Staff; AI Expertise; Custom Pretrained Pipelines; Clinical Imaging; Image Segmentation; Image Feature Extraction; Trustworthy AI\n", "description_html": "<p>Help to select and to use advanced deep learning algorithms to create custom and trustworthy AI models for medical image analysis (e.g. classification, segmentation, feature extraction, anomaly localization). Depending on the modality to be processed, we propose advanced deep learning architectures (CNN, LSTM, ViT, etc.) by selecting the best approach for the task to be performed (classification, localisation, segmentation, etc.). \nKeywords: Medical Image Analysis; Deep Learning Algorithms; Binary Classification; Anomaly Localization; AI Model Development; Real-World Images; AI Testing and Validation; Collaboration with Medical Staff; AI Expertise; Custom Pretrained Pipelines; Clinical Imaging; Image Segmentation; Image Feature Extraction; Trustworthy AI</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.verification_validation_testing"]}, {"id": 334, "name": "AI Model Testing and Validation", "unique_identifier": "572122d0-8e0d-4733-a318-0c43b847b1c8", "description": "Helping to rigorous testing and validation of the developed Multimodal AI models in real hospital environments based on real-world medical images and with collaboration with AI experts and medical staff. In collaboration with the medical staff and advanced deep learning algorithms, test the AI models on datasets not yet seen by the AI to confirm the correct behaviour of the AI. Discussion with medical experts and validation with new data sets (continuous learning) to ensure that the AI is still correct even with new data). Verification that there are no biases.\n Keywords: Medical Image Analysis; Deep Learning Algorithms; Binary Classification; Anomaly Localization; AI Model Development; Real-World Images; AI Testing and Validation; Collaboration with Medical Staff; AI Expertise; Custom Pretrained Pipelines; Clinical Imaging; Image Segmentation; Image Feature Extraction; Trustworthy AI", "description_html": "<p>Helping to rigorous testing and validation of the developed Multimodal AI models in real hospital environments based on real-world medical images and with collaboration with AI experts and medical staff. In collaboration with the medical staff and advanced deep learning algorithms, test the AI models on datasets not yet seen by the AI to confirm the correct behaviour of the AI. Discussion with medical experts and validation with new data sets (continuous learning) to ensure that the AI is still correct even with new data). Verification that there are no biases.\n Keywords: Medical Image Analysis; Deep Learning Algorithms; Binary Classification; Anomaly Localization; AI Model Development; Real-World Images; AI Testing and Validation; Collaboration with Medical Staff; AI Expertise; Custom Pretrained Pipelines; Clinical Imaging; Image Segmentation; Image Feature Extraction; Trustworthy AI</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 41, "name": "Explainability & Fairness Testing"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 2, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 368, "name": "V-Testing Conformity & Compliance Algorithms/Models (transparency, accountability, privacy, fairness, reliability, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 335, "name": "Custom Pretrained Pipelines", "unique_identifier": "bad44ed0-c641-4d42-bb05-09c57b1b44f1", "description": "Providing prebuilt AI pipelines tailored for medical image analysis. Streamlining AI model integration into existing healthcare workflows. Accelerating the deployment of AI solutions in clinical settings. Using MLOps and DVC to accelerate the AI development and deployment with CI-CD pipelines. \nKeywords: Medical Image Analysis; Deep Learning Algorithms; Binary Classification; Anomaly Localization; AI Model Development; Real-World Images; AI Testing and Validation; Collaboration with Medical Staff; AI Expertise; Custom Pretrained Pipelines; Clinical Imaging; Image Segmentation; Image Feature Extraction; Trustworthy AI", "description_html": "<p>Providing prebuilt AI pipelines tailored for medical image analysis. Streamlining AI model integration into existing healthcare workflows. Accelerating the deployment of AI solutions in clinical settings. Using MLOps and DVC to accelerate the AI development and deployment with CI-CD pipelines. \nKeywords: Medical Image Analysis; Deep Learning Algorithms; Binary Classification; Anomaly Localization; AI Model Development; Real-World Images; AI Testing and Validation; Collaboration with Medical Staff; AI Expertise; Custom Pretrained Pipelines; Clinical Imaging; Image Segmentation; Image Feature Extraction; Trustworthy AI</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}], "ai_act_articles": [{"id": 17, "name": "Quality management system", "code": "art_17", "number": "Art. 17"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 3, "name": "Software & AI"}, {"id": 43, "name": "Software Development & Cybersecurity"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}, {"id": 346, "name": "V-Software (development, maintenance, deployment, administration, etc.)", "domain": "Software"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 336, "name": "Development of Software for Solving Combinatorial Problems including Optimization", "unique_identifier": "5725fb00-b076-43c4-947a-d63c72d90515", "description": "Combinatorial optimization solution for processes, scheduling and logistics optimization. Provide expertise on how to address large scale routing, scheduling, logistics and other combinatorial optimisation problems using constraint-based local search. \nKeywords: Resource Planning, Patient Transportation, Process Optimasation", "description_html": "<p>Combinatorial optimization solution for processes, scheduling and logistics optimization. Provide expertise on how to address large scale routing, scheduling, logistics and other combinatorial optimisation problems using constraint-based local search. \nKeywords: Resource Planning, Patient Transportation, Process Optimasation</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 3, "name": "Software & AI"}, {"id": 43, "name": "Software Development & Cybersecurity"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 337, "name": "Quality Development - Evaluation of AI Software Quality", "unique_identifier": "02861789-3285-47b4-8bfa-b869e2974231", "description": "Assessment of the architectural quality of AI software. \nThe service offers a high-level assessment of the quality factors in AI-based software architecture, from design to implementation, using CETIC's \"Archicheck\" methodology. The assessment is based on ISO25000  and provides scores for each criterion, as well as an overall score for architectural design quality. The assessment offers a quick, high-level overview of the quality of an application's architecture and pragmatic recommendations for rapidly improving problem areas. \n\nKeywords: quality development", "description_html": "<p>Assessment of the architectural quality of AI software. \nThe service offers a high-level assessment of the quality factors in AI-based software architecture, from design to implementation, using CETIC's Archicheck methodology. The assessment is based on ISO25000  and provides scores for each criterion, as well as an overall score for architectural design quality. The assessment offers a quick, high-level overview of the quality of an application's architecture and pragmatic recommendations for rapidly improving problem areas. </p>\n<p>Keywords: quality development</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 17, "name": "Quality management system", "code": "art_17", "number": "Art. 17"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 3, "name": "Software & AI"}, {"id": 43, "name": "Software Development & Cybersecurity"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 0, "service_standard_legacy": "ISO25000", "certification_support_legacy": "", "service_standards": [{"id": 3, "name": "ISO 25000", "code": false}], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 353, "name": "V-Testing Conformity & Compliance Software (security, privacy, usability, accountability, fairness, reliability, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 338, "name": "Escrow for AI-based software", "unique_identifier": "0a0b4079-d685-42dc-af91-75271c786093", "description": "Challenge : The client may request from a software solution provider that a copy of the source code be held by a neutral third party. In the case of AI solutions, training data may also be involved. Security and confidentiality are obviously important. Our strength : CETIC routinely offers a secure procedure for retaining the source code of software and can extend this to AI-based software by managing and preserving the datasets used, thus demonstrating the ability to reproduce the protected software. This service enables a procedure to be put in place to preserve the source code of AI-based software by a trusted third party. This service will manage and preserve the datasets used to develop AI models. \nKeywords: Software Escrow services", "description_html": "<p>Challenge : The client may request from a software solution provider that a copy of the source code be held by a neutral third party. In the case of AI solutions, training data may also be involved. Security and confidentiality are obviously important. Our strength : CETIC routinely offers a secure procedure for retaining the source code of software and can extend this to AI-based software by managing and preserving the datasets used, thus demonstrating the ability to reproduce the protected software. This service enables a procedure to be put in place to preserve the source code of AI-based software by a trusted third party. This service will manage and preserve the datasets used to develop AI models. \nKeywords: Software Escrow services</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 18, "name": "Documentation keeping", "code": "art_18", "number": "Art. 18"}], "mdr_classes": [], "trl_levels": [{"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}, {"id": 18, "name": "Product on market", "number": 9}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 3, "name": "Software & AI"}, {"id": 43, "name": "Software Development & Cybersecurity"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 338, "name": "V-Data Processing (curation, preprocessing & standardization, mining, visualization, anonymization, FAIR, etc.)", "domain": "Data"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 346, "name": "V-Software (development, maintenance, deployment, administration, etc.)", "domain": "Software"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 339, "name": "Support in Requirement Gathering and Technological Planning", "unique_identifier": "2f82c0ad-e189-4bf0-952a-1c27eab5f431", "description": "Challenge : Difficulties in identifying the needs of users, clients, and other stakeholders, particularly regarding the development of AI-based products, to ensure a focus on the right challenges. This service provides support for the activities needed to collect and analyze requirements for the development of an AI-based product (software and hardware). In addition, the service offers support in setting up a technology roadmap with a prioritization of functionalities to be developed. Our strength: Guiding you in gathering requirements, analyzing needs, and technological guidance to steer future development by applying co-creation and co-innovation techniques with the assistance of a network of specialized stakeholders. \nKeywords: Business Analysis", "description_html": "<p>Challenge : Difficulties in identifying the needs of users, clients, and other stakeholders, particularly regarding the development of AI-based products, to ensure a focus on the right challenges. This service provides support for the activities needed to collect and analyze requirements for the development of an AI-based product (software and hardware). In addition, the service offers support in setting up a technology roadmap with a prioritization of functionalities to be developed. Our strength: Guiding you in gathering requirements, analyzing needs, and technological guidance to steer future development by applying co-creation and co-innovation techniques with the assistance of a network of specialized stakeholders. \nKeywords: Business Analysis</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 1, "name": "Need", "code": "need", "number": 1}, {"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 10, "name": "Basic properties defined", "number": 1}, {"id": 11, "name": "Analytical study", "number": 2}, {"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}], "medical_domains": [], "ontology_categories": [{"id": 7, "name": "TEF Matchmaking & Intake"}, {"id": 25, "name": "Business Model & Market Readiness"}, {"id": 1, "name": "Consulting"}, {"id": 22, "name": "Initial Needs Assessment"}, {"id": 8, "name": "Strategic & Business Enablement"}, {"id": 27, "name": "Innovation Management"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 350, "name": "P-Hardware Design, Development & Manufacturing", "domain": "Hardware"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 340, "name": "Proof of Concepts and demonstrators for data collection from distributed heterogeneous IoT devices", "unique_identifier": "19f04849-6ec3-4f1d-b909-7795cc7fdb73", "description": "Development of PoCs (Proof of Concepts) or demonstrators involving data collection from distributed and heterogeneous data sources (IoT sensors, devices, APIs, etc.) based on lightweight but yet flexible and evolvable middleware architecture leveraging data modeling and data semantics. This service is customised to the customer need and PoCs can cover one, part or all of the following : IoT (wireless) protocols interfacing, gateway integration and programming, implementation of data processing, transformation and transmission to remote platforms. PoCs leverage DMWay toolbox where relevant ( https://asset.cetic.be/en/dmway/)\n\nKeywords:\nIoT, medical devices, wireless communication,firmware, middleware, PoC , prototype, gateway\n", "description_html": "<p>Development of PoCs (Proof of Concepts) or demonstrators involving data collection from distributed and heterogeneous data sources (IoT sensors, devices, APIs, etc.) based on lightweight but yet flexible and evolvable middleware architecture leveraging data modeling and data semantics. This service is customised to the customer need and PoCs can cover one, part or all of the following : IoT (wireless) protocols interfacing, gateway integration and programming, implementation of data processing, transformation and transmission to remote platforms. PoCs leverage DMWay toolbox where relevant ( https://asset.cetic.be/en/dmway/)</p>\n<p>Keywords:\nIoT, medical devices, wireless communication,firmware, middleware, PoC , prototype, gateway</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 15, "name": "Hardware Design & Manufacturing"}, {"id": 47, "name": "Hardware Design & Prototyping"}, {"id": 2, "name": "Data"}, {"id": 48, "name": "Systems Integration Testing"}, {"id": 4, "name": "Hardware & Robotics"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "hardware_robotics", "name": "Hardware & Robotics"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 0, "service_standard_legacy": "Several IoT communication standards & protocols", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 339, "name": "C-Data (FAIRness, preprocessing, standardization, best practices, etc.)", "domain": "Data"}, {"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.existing_data"]}, {"id": 341, "name": "Hardware and software design service ", "unique_identifier": "3ee2e0ad-0cb2-436f-a521-032ade353d02", "description": "As a non-profit and accredited centre, our experts provide a neutral and independent technical advice and support along the design and implmentation process. Service includes SotA (State of the Art) analysis and positioning, coaching on design choices, studying of alternatives for solutions involving embedded systems, elaborating design reviews, software and hardware architecture reviews, components selection, recommandations, analysis, etc.\n\nKeywords: SotA, design review, technical advice, independent expertise", "description_html": "<p>As a non-profit and accredited centre, our experts provide a neutral and independent technical advice and support along the design and implmentation process. Service includes SotA (State of the Art) analysis and positioning, coaching on design choices, studying of alternatives for solutions involving embedded systems, elaborating design reviews, software and hardware architecture reviews, components selection, recommandations, analysis, etc.</p>\n<p>Keywords: SotA, design review, technical advice, independent expertise</p>", "service_provider": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_id": 503, "service_provider_logo": "", "service_provider_institution": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)", "service_provider_institution_id": 503, "service_provider_hierarchy": [{"id": 503, "name": "Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 11, "name": "Analytical study", "number": 2}, {"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 15, "name": "Hardware Design & Manufacturing"}, {"id": 47, "name": "Hardware Design & Prototyping"}, {"id": 3, "name": "Software & AI"}, {"id": 4, "name": "Hardware & Robotics"}, {"id": 43, "name": "Software Development & Cybersecurity"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}, {"code": "hardware_robotics", "name": "Hardware & Robotics"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Belgium", "service_provider_country_flag": "\ud83c\udde7\ud83c\uddea", "service_provider_country_code": "BE", "billing": "person-day", "full_price": "1144 EUR", "reduced_price": "858 EUR", "popularity": 2, "service_standard_legacy": "ISO9001", "certification_support_legacy": "", "service_standards": [{"id": 6, "name": "ISO 9001", "code": false}], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 346, "name": "V-Software (development, maintenance, deployment, administration, etc.)", "domain": "Software"}, {"id": 348, "name": "P-Testing Conformity & Compliance Hardware (CE, MDR, usability, etc.)", "domain": "Testing"}, {"id": 350, "name": "P-Hardware Design, Development & Manufacturing", "domain": "Hardware"}, {"id": 352, "name": "C-Scientific & Medical Communication", "domain": "Scientific"}, {"id": 353, "name": "V-Testing Conformity & Compliance Software (security, privacy, usability, accountability, fairness, reliability, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ce_marking", "tier2.verification_validation_testing"]}, {"id": 342, "name": "RAG consulting & development", "unique_identifier": "c76c1c4d-8337-41ce-8425-95ec6dadc29b", "description": "## Overview\n\nThis service provides a complete development of a Retrieval Augmented Generation (RAG) model for your SME\u2019s needs. RAG is a cutting-edge AI methodology that has been gaining traction in recent years. RAG models combine the capabilities of classical large language models (LLMs) with the ability to retrieve relevant information from external knowledge sources, such as databases or document collections. This approach allows RAG models to provide more accurate and context-specific responses, stating the precise source of the information they generate. RAG models can be more resource-effective by focusing on relevant information retrieval rather than relying solely on extensive pre-training. RAG models have a wide range of potential applications, from specialized clinical tools, such as those used in molecular tumor boards, to more general applications, like serving as powerful search engines when connected to cloud storage.  \n\nWe provide expertise and technical support in the following areas:  \n\n- Project design & management  \n- Legal & ethical support  \n\nSciLifeLab Data Centre has extensive experience in AI development and offers this comprehensive RAG service. Our service covers the entire AI lifecycle, including:  \n\n#### Design  \n\n- Understanding the problem  \n- Requirements engineering  \n- Data fitting  \n\n#### Development  \n\n- Modeling  \n- Evaluation  \n- Fine-tuning and optimization  \n\n#### Deployment  \n\n- Moving to production  \n\nPlease note that long-term maintenance and hosting responsibilities are not included in this service and will need to be managed by the SME. However, our team can provide preparation and advisory support before the service is finalized.  \n\n### How can the service help you?  \n\nThis service helps SMEs use advanced AI technology by creating Retrieval Augmented Generation (RAG) models designed to meet their specific needs. With expert support through every step of the process, the service ensures the model is effective, easy to use, and ready to deploy, helping SMEs make better decisions, save time and build confidence in their AI tools.  \n\n### How the service will be delivered?  \n\nThe service will be delivered according to established ethical agreements and guidelines, in collaboration with the SME and researchers from the Swedish TEF-Health node.  \n\n---\n\n## Additional information  \n\n### Provider description  \n\nThe Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.  \n\n### Technical description\n\nThe service develops RAG models, leveraging advanced AI frameworks and retrieval systems. Model development involves fine-tuning LLMs using frameworks such as PyTorch and TensorFlow and integrating them with external knowledge sources, such as databases or document collections, using retrieval mechanisms like ElasticSearch. Data preprocessing includes tokenization, vectorization, and indexing to ensure efficient information retrieval. The models are optimized for accuracy, relevance, and transparency, with quality assurance protocols applied to validate performance and compliance with ethical AI guidelines. All operations adhere to established standards for AI development and incorporate best practices for interoperability and scalability.  \n\n### Service customization  \n\nThe service can be customized according to your specific needs. It may be required to combine this service with other services on offer.  \n\n---\n\n## Use case example  \n\n### Context  \n\nA life science SME specializing in clinical decision support tools aims to develop an AI-driven application to assist molecular tumor boards in identifying personalized treatment options for cancer patients. The SME has access to large document collections, including scientific literature, clinical guidelines and patient case studies. However, the SME lacks the technical expertise to build a system that can retrieve relevant, context-specific information from these sources while integrating it with a large language model for natural language responses. This limitation hinders their ability to create an efficient tool for supporting oncologists, slowing product development and reducing stakeholder interest.  \n\n### Objective  \n\nTo develop a RAG model tailored to the SME\u2019s needs, enabling seamless integration of large language models with their document collections. Ensure the model provides accurate, context-specific responses with transparent source references, supporting oncologists in making personalized treatment decisions. Deliver a fully optimized, production-ready model to enhance the SME's product development and scalability.  \n\n### Solution  \n\nThe SME collaborates with the Swedish TEF-Health node to develop a RAG model using frameworks like TensorFlow. Document collections are indexed with FAISS for efficient retrieval, and a pre-trained large language model is fine-tuned for clinical applications. The solution integrates scientific literature and clinical guidelines into the retrieval system, ensuring context-specific outputs. The final model is validated with TensorBoard for accuracy and relevance, with clear source references, and is prepared for deployment using Docker for scalability and secure handling.  \n\n### Implementation  \n\n#### Ethical Agreement  \n\nThe SME enters into an ethical agreement with researchers from the Swedish TEF-Health node, ensuring that all data handling and model development comply with GDPR and Swedish national regulations, particularly regarding the use of sensitive clinical and scientific data.  \n\n#### Data Preparation and Knowledge Integration  \n\nThe SME\u2019s document collections, including clinical guidelines and scientific literature, are preprocessed for integration with the RAG model. This includes text cleaning, tokenization, and embedding generation using Hugging Face Transformers. The documents are indexed with FAISS to enable efficient and accurate information retrieval.  \n\n#### Model Development and Fine-Tuning  \n\nA pre-trained large language model is fine-tuned on the SME\u2019s specific domain data using TensorFlow. The retrieval system is connected to the language model to ensure context-specific outputs. Recall@K, BLEU, and precision are used as metrics to validate the model\u2019s accuracy and relevance during development.  \n\n#### Validation and Optimization  \n\nThe integrated RAG model is validated using the evaluation frameworks TensorBoard, enabling real-time tracking of performance metrics and optimization of hyperparameters. This ensures the model is robust.  \n\n#### Deployment Preparation  \n\nThe final RAG model is containerized using Docker to ensure scalability and ease of deployment. Advisory support is provided to the SME, including documentation and best practices for hosting and maintaining the model post-deployment.  \n\n### Benefits  \n\n- **Insight Optimization:** Enhancing SMEs\u2019 ability to deliver accurate, context-specific insights for molecular tumor boards.  \n- **Credibility:** Fine-tuned and validated models build trust with stakeholders, including clinicians and regulators.  \n- **Transparency & Compliance:** Clear source references foster trust and support ethical and legal standards.  \n\n### Impact  \n\nThe SME\u2019s RAG model establishes itself as a reliable and cutting-edge tool in clinical decision support, gaining recognition within the oncology and AI research communities. The model\u2019s ability to deliver accurate, context-aware insights with transparent references enhances trust among clinicians and regulatory bodies. This innovation fosters new collaborations with academic researchers and industry stakeholders, accelerating the adoption of AI-driven personalized treatment solutions and positioning the SME as a leader in advanced healthcare technologies.  ", "description_html": "<h2>Overview</h2>\n<p>This service provides a complete development of a Retrieval Augmented Generation (RAG) model for your SME\u2019s needs. RAG is a cutting-edge AI methodology that has been gaining traction in recent years. RAG models combine the capabilities of classical large language models (LLMs) with the ability to retrieve relevant information from external knowledge sources, such as databases or document collections. This approach allows RAG models to provide more accurate and context-specific responses, stating the precise source of the information they generate. RAG models can be more resource-effective by focusing on relevant information retrieval rather than relying solely on extensive pre-training. RAG models have a wide range of potential applications, from specialized clinical tools, such as those used in molecular tumor boards, to more general applications, like serving as powerful search engines when connected to cloud storage.  </p>\n<p>We provide expertise and technical support in the following areas:  </p>\n<ul>\n<li>Project design &amp; management  </li>\n<li>Legal &amp; ethical support  </li>\n</ul>\n<p>SciLifeLab Data Centre has extensive experience in AI development and offers this comprehensive RAG service. Our service covers the entire AI lifecycle, including:  </p>\n<h4>Design</h4>\n<ul>\n<li>Understanding the problem  </li>\n<li>Requirements engineering  </li>\n<li>Data fitting  </li>\n</ul>\n<h4>Development</h4>\n<ul>\n<li>Modeling  </li>\n<li>Evaluation  </li>\n<li>Fine-tuning and optimization  </li>\n</ul>\n<h4>Deployment</h4>\n<ul>\n<li>Moving to production  </li>\n</ul>\n<p>Please note that long-term maintenance and hosting responsibilities are not included in this service and will need to be managed by the SME. However, our team can provide preparation and advisory support before the service is finalized.  </p>\n<h3>How can the service help you?</h3>\n<p>This service helps SMEs use advanced AI technology by creating Retrieval Augmented Generation (RAG) models designed to meet their specific needs. With expert support through every step of the process, the service ensures the model is effective, easy to use, and ready to deploy, helping SMEs make better decisions, save time and build confidence in their AI tools.  </p>\n<h3>How the service will be delivered?</h3>\n<p>The service will be delivered according to established ethical agreements and guidelines, in collaboration with the SME and researchers from the Swedish TEF-Health node.  </p>\n<hr>\n<h2>Additional information</h2>\n<h3>Provider description</h3>\n<p>The Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.  </p>\n<h3>Technical description</h3>\n<p>The service develops RAG models, leveraging advanced AI frameworks and retrieval systems. Model development involves fine-tuning LLMs using frameworks such as PyTorch and TensorFlow and integrating them with external knowledge sources, such as databases or document collections, using retrieval mechanisms like ElasticSearch. Data preprocessing includes tokenization, vectorization, and indexing to ensure efficient information retrieval. The models are optimized for accuracy, relevance, and transparency, with quality assurance protocols applied to validate performance and compliance with ethical AI guidelines. All operations adhere to established standards for AI development and incorporate best practices for interoperability and scalability.  </p>\n<h3>Service customization</h3>\n<p>The service can be customized according to your specific needs. It may be required to combine this service with other services on offer.  </p>\n<hr>\n<h2>Use case example</h2>\n<h3>Context</h3>\n<p>A life science SME specializing in clinical decision support tools aims to develop an AI-driven application to assist molecular tumor boards in identifying personalized treatment options for cancer patients. The SME has access to large document collections, including scientific literature, clinical guidelines and patient case studies. However, the SME lacks the technical expertise to build a system that can retrieve relevant, context-specific information from these sources while integrating it with a large language model for natural language responses. This limitation hinders their ability to create an efficient tool for supporting oncologists, slowing product development and reducing stakeholder interest.  </p>\n<h3>Objective</h3>\n<p>To develop a RAG model tailored to the SME\u2019s needs, enabling seamless integration of large language models with their document collections. Ensure the model provides accurate, context-specific responses with transparent source references, supporting oncologists in making personalized treatment decisions. Deliver a fully optimized, production-ready model to enhance the SME's product development and scalability.  </p>\n<h3>Solution</h3>\n<p>The SME collaborates with the Swedish TEF-Health node to develop a RAG model using frameworks like TensorFlow. Document collections are indexed with FAISS for efficient retrieval, and a pre-trained large language model is fine-tuned for clinical applications. The solution integrates scientific literature and clinical guidelines into the retrieval system, ensuring context-specific outputs. The final model is validated with TensorBoard for accuracy and relevance, with clear source references, and is prepared for deployment using Docker for scalability and secure handling.  </p>\n<h3>Implementation</h3>\n<h4>Ethical Agreement</h4>\n<p>The SME enters into an ethical agreement with researchers from the Swedish TEF-Health node, ensuring that all data handling and model development comply with GDPR and Swedish national regulations, particularly regarding the use of sensitive clinical and scientific data.  </p>\n<h4>Data Preparation and Knowledge Integration</h4>\n<p>The SME\u2019s document collections, including clinical guidelines and scientific literature, are preprocessed for integration with the RAG model. This includes text cleaning, tokenization, and embedding generation using Hugging Face Transformers. The documents are indexed with FAISS to enable efficient and accurate information retrieval.  </p>\n<h4>Model Development and Fine-Tuning</h4>\n<p>A pre-trained large language model is fine-tuned on the SME\u2019s specific domain data using TensorFlow. The retrieval system is connected to the language model to ensure context-specific outputs. Recall@K, BLEU, and precision are used as metrics to validate the model\u2019s accuracy and relevance during development.  </p>\n<h4>Validation and Optimization</h4>\n<p>The integrated RAG model is validated using the evaluation frameworks TensorBoard, enabling real-time tracking of performance metrics and optimization of hyperparameters. This ensures the model is robust.  </p>\n<h4>Deployment Preparation</h4>\n<p>The final RAG model is containerized using Docker to ensure scalability and ease of deployment. Advisory support is provided to the SME, including documentation and best practices for hosting and maintaining the model post-deployment.  </p>\n<h3>Benefits</h3>\n<ul>\n<li><strong>Insight Optimization:</strong> Enhancing SMEs\u2019 ability to deliver accurate, context-specific insights for molecular tumor boards.  </li>\n<li><strong>Credibility:</strong> Fine-tuned and validated models build trust with stakeholders, including clinicians and regulators.  </li>\n<li><strong>Transparency &amp; Compliance:</strong> Clear source references foster trust and support ethical and legal standards.  </li>\n</ul>\n<h3>Impact</h3>\n<p>The SME\u2019s RAG model establishes itself as a reliable and cutting-edge tool in clinical decision support, gaining recognition within the oncology and AI research communities. The model\u2019s ability to deliver accurate, context-aware insights with transparent references enhances trust among clinicians and regulatory bodies. This innovation fosters new collaborations with academic researchers and industry stakeholders, accelerating the adoption of AI-driven personalized treatment solutions and positioning the SME as a leader in advanced healthcare technologies.  </p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": 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administration, etc.)", "domain": "Software"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 343, "name": "Datasets Access: SME initial consulting", "unique_identifier": "272d30cf-2590-4b0b-90d5-c33bab600695", "description": "This service aims to formalise and consolidate the SME request (thanks to our expertise in clinical data warehouse and clinical investigation) and to specify services that we provide which will allow to conduct the study. Eventually, complementary services provided by other partners can be identified. This service includes a consultation session of approximately 2 hours to discuss the proposed project, its key aspects, its direction, and its feasibility. We will leverage our expertise in the reuse of real-world health data, addressing aspects such as data availability, feasibility, regulatory processes, and study methodologies.\u200b\n\nMethod Description:\nThe service includes :\n\u00a0\u00a0\u00a0 - Contact form\n\u00a0\u00a0\u00a0 - Documentation of the requirement\n\u00a0\u00a0\u00a0 - Specification document\n\u00a0\u00a0\u00a0 - Identification of the Medical Service Rendered\n\u00a0\u00a0\u00a0 - Identification of inclusion factors, epidemiological factor, factors linked to objectives, confounding factors \n\u00a0\u00a0\u00a0 - Scope : Clinical data warehouse/French health insurance medico-administrative data (SNDS)/ academic labs or other TEF partners \n\u00a0\u00a0\u00a0 - Choice/identification of the project manager/sponsor\n\nMethod reference:\nLocal method respecting General Data Protection Regulation (GDPR), EU regulations 2017/745 and 2020/561 on medical devices, AI Act and Good Clinical Practice (GCP)", "description_html": "<p>This service aims to formalise and consolidate the SME request (thanks to our expertise in clinical data warehouse and clinical investigation) and to specify services that we provide which will allow to conduct the study. Eventually, complementary services provided by other partners can be identified. This service includes a consultation session of approximately 2 hours to discuss the proposed project, its key aspects, its direction, and its feasibility. We will leverage our expertise in the reuse of real-world health data, addressing aspects such as data availability, feasibility, regulatory processes, and study methodologies.\u200b</p>\n<p>Method Description:\nThe service includes :\n&nbsp;&nbsp;&nbsp; - Contact form\n&nbsp;&nbsp;&nbsp; - Documentation of the requirement\n&nbsp;&nbsp;&nbsp; - Specification document\n&nbsp;&nbsp;&nbsp; - Identification of the Medical Service Rendered\n&nbsp;&nbsp;&nbsp; - Identification of inclusion factors, epidemiological factor, factors linked to objectives, confounding factors \n&nbsp;&nbsp;&nbsp; - Scope : Clinical data warehouse/French health insurance medico-administrative data (SNDS)/ academic labs or other TEF partners \n&nbsp;&nbsp;&nbsp; - Choice/identification of the project manager/sponsor</p>\n<p>Method reference:\nLocal method respecting General Data Protection Regulation (GDPR), EU regulations 2017/745 and 2020/561 on medical devices, AI Act and Good Clinical Practice (GCP)</p>", "service_provider": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_id": 515, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_institution_id": 515, "service_provider_hierarchy": [{"id": 515, "name": "Centre Hospitalier Universitaire De Grenoble (CHUGA)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 1, "name": "Need", "code": "need", "number": 1}, {"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 10, "name": "Basic properties defined", "number": 1}, {"id": 11, "name": "Analytical study", "number": 2}, {"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}], "medical_domains": [], "ontology_categories": [{"id": 7, "name": "TEF Matchmaking & Intake"}, {"id": 1, "name": "Consulting"}, {"id": 22, "name": "Initial Needs Assessment"}, {"id": 23, "name": "Service Recommendation & Routing"}, {"id": 24, "name": "TRL Assessment & Gap Analysis"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "60-135 EUR", "reduced_price": "35-135 EUR", "popularity": 3, "service_standard_legacy": "AI Act\nEU regulations 2017/745 and 2020/561 on medical devices\nGood Clinical Practice\nGeneral Data Protection Regulation", "certification_support_legacy": "", "service_standards": [{"id": 45, "name": "AI Act", "code": false}, {"id": 44, "name": "EU regulations 2017/745 and 2020/561 on medical devices", "code": false}, {"id": 65, "name": "General Data Protection Regulation", "code": false}, {"id": 64, "name": "Good Clinical Practice", "code": false}], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 341, "name": "C-Quality Management", "domain": "Quality"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}, {"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs"]}, {"id": 344, "name": "Datasets Access: 1- Feasibility studies: prescreening services to build datasets from clinical data", "unique_identifier": "e4c8ad30-5367-4eaf-8eb9-de0c683bce97", "description": "This service allows to validate the clinical question, the feasibility of SME demand. To be more specific, it first includes a validation of the clinical question with a clinical expert. Then, a pre-screening is conducted to assess data availability, leveraging the expertise of our data scientists, which leads to the production of a feasibility report. \n\nPrerequisite: If the need remains to be precised, our service \"Initial Consultation for SMEs\" must be conducted before starting the feasibility study.\u200b\n\nMethod Description:\nThe service includes :\n\u00a0\u00a0\u00a0 Pre-screening [mandatory]\n\u00a0\u00a0\u00a0 Feasibility study [mandatory]\n\nMethod reference:\nLocal method respecting General Data Protection Regulation (GDPR), AI Act and Good Clinical Practice (GCP)", "description_html": "<p>This service allows to validate the clinical question, the feasibility of SME demand. To be more specific, it first includes a validation of the clinical question with a clinical expert. Then, a pre-screening is conducted to assess data availability, leveraging the expertise of our data scientists, which leads to the production of a feasibility report. </p>\n<p>Prerequisite: If the need remains to be precised, our service Initial Consultation for SMEs must be conducted before starting the feasibility study.\u200b</p>\n<p>Method Description:\nThe service includes :\n&nbsp;&nbsp;&nbsp; Pre-screening [mandatory]\n&nbsp;&nbsp;&nbsp; Feasibility study [mandatory]</p>\n<p>Method reference:\nLocal method respecting General Data Protection Regulation (GDPR), AI Act and Good Clinical Practice (GCP)</p>", "service_provider": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_id": 515, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_institution_id": 515, "service_provider_hierarchy": [{"id": 515, "name": "Centre Hospitalier Universitaire De Grenoble (CHUGA)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 11, "name": "Analytical study", "number": 2}, {"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 7, "name": "TEF Matchmaking & Intake"}, {"id": 1, "name": "Consulting"}, {"id": 22, "name": "Initial Needs Assessment"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 37, "name": "Data Quality Assessment"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}, {"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "60-135 EUR", "reduced_price": "40-135 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 341, "name": "C-Quality Management", "domain": "Quality"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs"]}, {"id": 345, "name": "Datasets Access: 2- Methodological advising", "unique_identifier": "2185a7e0-d31d-45be-80eb-7f5433215973", "description": "This support service offer to companies scientific and methodological advices throughout the project. It includes regular progress meetings and ongoing support from a project manager. This may also include support in drafting the research plan and contacts with healthcare professionals. This service provides comprehensive support for companies' R&D projects, with personalized follow-up tailored to their needs, while ensuring the clinical validity of their approaches to exploit clinical warehouse data.\u200b\n\nDetails :\u200b\n\u00a0\u00a0 - Meeting with a Clinical Research Project Manager from the Clinical Data Warehouse. He will ensure project managment in our institution and key steps related to clinical data warehouse exploitation (e.g., submission to local ethics and scientific comitee).\u200b\n\u00a0\u00a0 - Regular meetings including a group of experts specialized in medecine, clinical data science, clinical research and health technology. Pricing will depend on the mobilized expertise and regularity of the meetings.\u200b\n\u00a0\u00a0 - The opportunity to have your research protocol reviewed and evaluated by experts. This service includes one submission. New submission will result in a re-evaluation of the service charges.\u200b\n\nPrerequisite : our service \"Feasabilty study\" must have been previously conducted.\u200b\n\nMethod Description:\nThe service includes a minimal mandatory task set. Optional tasks can be jointly selected depending on the SME needs and available ressources:\n\u00a0\u00a0\u00a0 Regular progress meetings (fortnightly/monthly) [mandatory]\n\u00a0\u00a0\u00a0 Review and advice on research plan writing, testing and evaluation [optional]\n\u00a0\u00a0\u00a0 Review and analysis of research plan by clinicians [optional]\n\nMethod reference:\nLocal method respecting General Data Protection Regulation (GDPR), EU regulations 2017/745 and 2020/561 on medical devices,\u00a0 AI Act and Good Clinical Practice (GCP)", "description_html": "<p>This support service offer to companies scientific and methodological advices throughout the project. It includes regular progress meetings and ongoing support from a project manager. This may also include support in drafting the research plan and contacts with healthcare professionals. This service provides comprehensive support for companies' R&amp;D projects, with personalized follow-up tailored to their needs, while ensuring the clinical validity of their approaches to exploit clinical warehouse data.\u200b</p>\n<p>Details :\u200b\n&nbsp;&nbsp; - Meeting with a Clinical Research Project Manager from the Clinical Data Warehouse. He will ensure project managment in our institution and key steps related to clinical data warehouse exploitation (e.g., submission to local ethics and scientific comitee).\u200b\n&nbsp;&nbsp; - Regular meetings including a group of experts specialized in medecine, clinical data science, clinical research and health technology. Pricing will depend on the mobilized expertise and regularity of the meetings.\u200b\n&nbsp;&nbsp; - The opportunity to have your research protocol reviewed and evaluated by experts. This service includes one submission. New submission will result in a re-evaluation of the service charges.\u200b</p>\n<p>Prerequisite : our service Feasabilty study must have been previously conducted.\u200b</p>\n<p>Method Description:\nThe service includes a minimal mandatory task set. Optional tasks can be jointly selected depending on the SME needs and available ressources:\n&nbsp;&nbsp;&nbsp; Regular progress meetings (fortnightly/monthly) [mandatory]\n&nbsp;&nbsp;&nbsp; Review and advice on research plan writing, testing and evaluation [optional]\n&nbsp;&nbsp;&nbsp; Review and analysis of research plan by clinicians [optional]</p>\n<p>Method reference:\nLocal method respecting General Data Protection Regulation (GDPR), EU regulations 2017/745 and 2020/561 on medical devices,&nbsp; AI Act and Good Clinical Practice (GCP)</p>", "service_provider": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_id": 515, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_institution_id": 515, "service_provider_hierarchy": [{"id": 515, "name": "Centre Hospitalier Universitaire De Grenoble (CHUGA)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 1, "name": "Consulting"}, {"id": 8, "name": "Strategic & Business Enablement"}, {"id": 31, "name": "Expert Medical Opinion"}, {"id": 27, "name": "Innovation Management"}, {"id": 10, "name": "Scientific & Medical Communication"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "per hour", "full_price": "60-135 EUR", "reduced_price": "40-135 EUR", "popularity": 0, "service_standard_legacy": "\u00a0\u00a0\u00a0 AI Act\n\u00a0\u00a0\u00a0 EU regulations 2017/745 and 2020/561 on medical devices\n\u00a0\u00a0\u00a0 Good Clinical Practice\n\u00a0\u00a0\u00a0 General Data Protection Regulation", "certification_support_legacy": "", "service_standards": [{"id": 45, "name": "AI Act", "code": false}, {"id": 44, "name": "EU regulations 2017/745 and 2020/561 on medical devices", "code": false}, {"id": 65, "name": "General Data Protection Regulation", "code": false}, {"id": 64, "name": "Good Clinical Practice", "code": false}], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 341, "name": "C-Quality Management", "domain": "Quality"}, {"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.integration_hcs"]}, {"id": 346, "name": "Datasets Access: 3- Ethical & legal advising", "unique_identifier": "5065934e-0660-456a-bc58-938bd6e8c05f", "description": "This service focuses on providing support in analyzing the legal and ethical framework, which involves helping to understand the laws and regulations in force, as well as the ethical principles and values applicable for clinical data warehouse exploitation. It may involve compliance assessment, particularly with regard to RNIPH and legal compliance, which consists in ensuring that the activities in question comply with the applicable laws and rules. It may include assistance with the construction and filing of regulatory dossiers with French regulatory authorities*. It offers the opportunity to have several documents reviewed and evaluated by experts as some help for deposit. This service is tailored by the SME needs.\u200b\n\nDetails:\u200b\n\u00a0\u00a0\u00a0 An initial consultation meeting with a legal expert of the hospital to clarify the requirements for the regulatory submissions.\u200b\n\u00a0\u00a0\u00a0 One feedback session and an annotated report for each document (study protocol, data protection impact assessment GDPR, etc.) that the SME needs to revise are included. New submission will result in a re-evaluation of the service charges.\n\nPrerequisite : our service \"Feasability study\" must have been previously conducted.\n\nMethod Description:\nDepending on the SME needs and available ressources, this service may include all or part of the following task list:\n\u00a0\u00a0\u00a0 Analysis of legal and ethical framework by our Institutional Review Board (IRB) [optional] \n\u00a0\u00a0\u00a0 Compliance assessment (Category of research, legal compliance, etc.) [optional] \n\u00a0\u00a0\u00a0 Assistance and advice on building regulatory files [optional]\n\nMethod reference:\nLocal method respecting General Data Protection Regulation (GDPR), \n*French regulatory autorities :\n\n\u00a0\u00a0\u00a0 Comit\u00e9 Ethique et Scientifique pour les Recherches, les Etudes et les Evaluations dans le domaine de la Sant\u00e9 (CESREES), \n\u00a0\u00a0\u00a0 Commission Nationale de l\u2019Informatique et des Libert\u00e9s (CNIL), MR-004 reference methodology requirements and EU regulations 2017/745 and 2020/561 on medical devices", "description_html": "<p>This service focuses on providing support in analyzing the legal and ethical framework, which involves helping to understand the laws and regulations in force, as well as the ethical principles and values applicable for clinical data warehouse exploitation. It may involve compliance assessment, particularly with regard to RNIPH and legal compliance, which consists in ensuring that the activities in question comply with the applicable laws and rules. It may include assistance with the construction and filing of regulatory dossiers with French regulatory authorities*. It offers the opportunity to have several documents reviewed and evaluated by experts as some help for deposit. This service is tailored by the SME needs.\u200b</p>\n<p>Details:\u200b\n&nbsp;&nbsp;&nbsp; An initial consultation meeting with a legal expert of the hospital to clarify the requirements for the regulatory submissions.\u200b\n&nbsp;&nbsp;&nbsp; One feedback session and an annotated report for each document (study protocol, data protection impact assessment GDPR, etc.) that the SME needs to revise are included. New submission will result in a re-evaluation of the service charges.</p>\n<p>Prerequisite : our service Feasability study must have been previously conducted.</p>\n<p>Method Description:\nDepending on the SME needs and available ressources, this service may include all or part of the following task list:\n&nbsp;&nbsp;&nbsp; Analysis of legal and ethical framework by our Institutional Review Board (IRB) [optional] \n&nbsp;&nbsp;&nbsp; Compliance assessment (Category of research, legal compliance, etc.) [optional] \n&nbsp;&nbsp;&nbsp; Assistance and advice on building regulatory files [optional]</p>\n<p>Method reference:\nLocal method respecting General Data Protection Regulation (GDPR), \n*French regulatory autorities :</p>\n<p>Comit\u00e9 Ethique et Scientifique pour les Recherches, les Etudes et les Evaluations dans le domaine de la Sant\u00e9 (CESREES), \n&nbsp;&nbsp;&nbsp; Commission Nationale de l\u2019Informatique et des Libert\u00e9s (CNIL), MR-004 reference methodology requirements and EU regulations 2017/745 and 2020/561 on medical devices</p>", "service_provider": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_id": 515, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Grenoble (CHUGA)", "service_provider_institution_id": 515, "service_provider_hierarchy": [{"id": 515, "name": "Centre Hospitalier Universitaire De Grenoble (CHUGA)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 52, "name": "Regulatory Roadmap & Gap Analysis"}, {"id": 55, "name": "Ethics & Legal Affairs"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "Per hour", "full_price": "60-135 EUR", "reduced_price": "40-135 EUR", "popularity": 1, "service_standard_legacy": "\u00a0\u00a0\u00a0 EU regulations 2017/745 and 2020/561 on medical devices\n\u00a0\u00a0\u00a0 MR-004 reference methodology [French]\n\u00a0\u00a0\u00a0 Commission Nationale de l\u2019Informatique et des Libert\u00e9s\u00a0 [French]\n\u00a0\u00a0\u00a0 Comit\u00e9 d\u2019Expertise pour les Recherches, les Etudes et les Evaluations dans le domaine de la Sant\u00e9\u00a0 [French]\n\u00a0\u00a0\u00a0 General Data Protection Regulation", "certification_support_legacy": "", "service_standards": [{"id": 67, "name": "Comit\u00e9 d\u2019Expertise pour les Recherches, les Etudes et les Evaluations dans le domaine de la Sant\u00e9 [French]", "code": false}, {"id": 66, "name": "Commission Nationale de l\u2019Informatique et des Libert\u00e9s [French]", "code": false}, {"id": 44, "name": "EU regulations 2017/745 and 2020/561 on medical devices", "code": false}, {"id": 65, "name": "General Data Protection Regulation", "code": false}, {"id": 48, "name": "MR-004 Reference Methodology", "code": false}], "certification_ids": [], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs", "tier2.regulatory_roadmap"]}, {"id": 347, "name": "Berlin Simulation & Training Center", "unique_identifier": "ab4a0af6-5d12-468e-9fbe-e6d80ca03763", "description": "Since 1996: Increase in treatment quality and patient safety through simulation-based \r\n1. Advanced training and continuing education of all professions in the healthcare sector \r\n2. Increase in effectiveness and efficiency of clinical processes \r\n3. Agile research and development of medical systems.\r\n\r\n1,600 m2 at new Charit\u00e9 building\r\n+ Operating theaters, ICU, practices, living room, ward, transport\u2026\u200b\r\n+ Unkillable patients\u200b: actors, mannequins, virtual reality, body donations, 3D prints, animals (at CVK)\u200b\r\n+ Isolated network with on-demand Charit\u00e9 infrastructure and public cloud\u200b\r\n+ Medical systems by many vendors\u200b\r\n+ Access to co-incentivized Charit\u00e9 healthcare professionals\u200b\r\n\r\n- Modelling and tangibility of patient journeys\u200b\r\n- Workflow Implementability\r\n- Consensus facilitation\u200b\r\n- IT Integrability\u200b\r\n- Change Management\u200b\r\n- CoCreation and CoDevelopment\u200b\r\n- Boundary condition homogenization\u200b\r\n- Value Proposition Validation & Demonstration\u200b", "description_html": "<p>Since 1996: Increase in treatment quality and patient safety through simulation-based \n1. Advanced training and continuing education of all professions in the healthcare sector \n2. Increase in effectiveness and efficiency of clinical processes \n3. Agile research and development of medical systems.</p>\n<p>1,600 m2 at new Charit\u00e9 building\n+ Operating theaters, ICU, practices, living room, ward, transport\u2026\u200b\n+ Unkillable patients\u200b: actors, mannequins, virtual reality, body donations, 3D prints, animals (at CVK)\u200b\n+ Isolated network with on-demand Charit\u00e9 infrastructure and public cloud\u200b\n+ Medical systems by many vendors\u200b\n+ Access to co-incentivized Charit\u00e9 healthcare professionals\u200b</p>\n<ul>\n<li>Modelling and tangibility of patient journeys\u200b</li>\n<li>Workflow Implementability</li>\n<li>Consensus facilitation\u200b</li>\n<li>IT Integrability\u200b</li>\n<li>Change Management\u200b</li>\n<li>CoCreation and CoDevelopment\u200b</li>\n<li>Boundary condition homogenization\u200b</li>\n<li>Value Proposition Validation &amp; Demonstration\u200b</li>\n</ul>", "service_provider": "Berlin Simulation and Training Center (BeST)", "service_provider_id": 2686, "service_provider_logo": 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", 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Methods consists of traditional performance testing coupled with formal methods to prove  safety and functionality requirements, if applicable. The requirements put on the models are formulated in collaboration with the customer. RISE performs the corresponding virtual tests and records the results in a test and verification report.\nMethod reference:\nTo be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. 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The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster.</p>\n<p>Keywords: AI systems, Data Science, Deep Learning, Natural language processing, Machine Learning, Trustworthy AI</p>", "service_provider": "RISE Research Institutes Of Sweden", "service_provider_id": 500, "service_provider_logo": "", "service_provider_institution": "RISE Research Institutes Of Sweden", "service_provider_institution_id": 500, "service_provider_hierarchy": [{"id": 500, "name": "RISE Research Institutes Of Sweden"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}, {"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 41, "name": "Explainability & Fairness Testing"}, {"id": 3, "name": "Software & AI"}, {"id": 56, "name": "Conformity Assessment (Software)"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}, {"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "130-190 EUR", "reduced_price": "90-130 EUR", "popularity": 3, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 353, "name": "V-Testing Conformity & Compliance Software (security, privacy, usability, accountability, fairness, reliability, etc.)", "domain": "Testing"}, {"id": 368, "name": "V-Testing Conformity & Compliance Algorithms/Models (transparency, accountability, privacy, fairness, reliability, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.regulatory_roadmap", "tier2.verification_validation_testing"]}, {"id": 355, "name": "Clinical Evaluation of Prototypes", "unique_identifier": "800d5f92-eec7-45ee-9672-f254141edad3", "description": "This service provides clinical testing and evaluation of medical device prototypes or healthcare technology solutions in real-world settings. It assesses functionality, safety, usability, and performance under clinical conditions, gathering essential data for further development and regulatory approval. Clinical evaluations are conducted on-site in healthcare environments by trained teams who manage setup, monitoring, and assessment according to standardized protocols, offering detailed reports on clinical performance, usability, and safety. \nKeywords: prototypes, real-world testing, medical device prototypes, testing", "description_html": "<p>This service provides clinical testing and evaluation of medical device prototypes or healthcare technology solutions in real-world settings. It assesses functionality, safety, usability, and performance under clinical conditions, gathering essential data for further development and regulatory approval. Clinical evaluations are conducted on-site in healthcare environments by trained teams who manage setup, monitoring, and assessment according to standardized protocols, offering detailed reports on clinical performance, usability, and safety. \nKeywords: prototypes, real-world testing, medical device prototypes, testing</p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 62, "name": "Usability Testing (Formative/Summative)"}, {"id": 20, "name": "Clinical Usability & Validation"}, {"id": 54, "name": "CE Marking & Notified Body Support"}, {"id": 55, "name": "Ethics & Legal Affairs"}, {"id": 5, "name": "Regulatory & Certification"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per hour/person", "full_price": "270 EUR", "reduced_price": "200 EUR", "popularity": 5, "service_standard_legacy": "IHC GCP, MDR 2017/745 (and MDR 536/2014 for clinical drug testing)", "certification_support_legacy": "MDR 2017/745 and, if relevant, MDR 536/2014 for drugs", "service_standards": [{"id": 69, "name": "IHC GCP", "code": false}, {"id": 70, "name": "MDR 2017/745", "code": false}], "certification_ids": [{"id": 20, "name": "MDR 2017/745", "code": false}, {"id": 21, "name": "MDR 536/2014 for drugs", "code": false}], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 356, "name": "C-Development of conformity evaluation standards, protocols & tools", "domain": "Development"}, {"id": 370, "name": "C-Clinical Investigation Support (coordination, design, feasibility, documentation,compliance, operations support, etc.)", "domain": "Clinical"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.integration_hcs", "tier2.ce_marking", "tier2.verification_validation_testing"]}, {"id": 356, "name": "Datasets for Diagnostic Evaluation and AI Performance in Medical Specialties ", "unique_identifier": "6106fbaf-b2d2-4a78-8f41-4031f1a9b41e", "description": "This service provides tailored datasets for evaluating AI performance in key medical specialties, including sleep disorder diagnostics, gastroenterology, digital pathology, and radiology. The datasets reflect real clinical scenarios, supporting the validation of AI algorithms and assisting organizations in achieving regulatory compliance and clinical reliability. Each dataset includes structured data and annotations designed for training, testing, and comparing AI models in various clinical contexts. \n\nKeywords: AI dataset, clinical diagnostics, digital pathology, radiology, gastroenterology, sleep disorders, performance validation. ", "description_html": "<p>This service provides tailored datasets for evaluating AI performance in key medical specialties, including sleep disorder diagnostics, gastroenterology, digital pathology, and radiology. The datasets reflect real clinical scenarios, supporting the validation of AI algorithms and assisting organizations in achieving regulatory compliance and clinical reliability. Each dataset includes structured data and annotations designed for training, testing, and comparing AI models in various clinical contexts. </p>\n<p>Keywords: AI dataset, clinical diagnostics, digital pathology, radiology, gastroenterology, sleep disorders, performance validation. </p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}, {"id": 2, "name": "Consulting", "code": "consulting"}, {"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 1, "name": "Hepatology / Gastroenterology", "code": "GAST"}, {"id": 2, "name": "Pathology", "code": "PATH"}, {"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 38, "name": "FAIR Data & Standardization"}], "ontology_domains": [{"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per hour/person", "full_price": "240 EUR", "reduced_price": "80 EUR", "popularity": 4, "service_standard_legacy": "GDPR for data privacy, ISO 27001 for data security, and MDR 2017/745 for regulatory-compliant diagnostic evaluation ", "certification_support_legacy": "", "service_standards": [{"id": 71, "name": "GDPR for data privacy", "code": false}, {"id": 72, "name": "ISO/IEC 27001", "code": false}], "certification_ids": [], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs", "tier2.existing_data"]}, {"id": 357, "name": "Clinical Study Center ", "unique_identifier": "73a9bd9a-45cc-4ab5-b047-35efecb7c1e8", "description": "The Clinical Study Center offers comprehensive support for the design, implementation, and management of clinical trials. This service focuses on ensuring the integrity, quality, and compliance of clinical studies across various medical fields. The center provides expert guidance on protocol development, regulatory submissions, site management, and data collection, ensuring that all trials meet regulatory standards and are conducted ethically. With a dedicated team of experienced professionals, the center facilitates patient recruitment and retention, monitors trial progress, and ensures accurate data reporting. ", "description_html": "<p>The Clinical Study Center offers comprehensive support for the design, implementation, and management of clinical trials. This service focuses on ensuring the integrity, quality, and compliance of clinical studies across various medical fields. The center provides expert guidance on protocol development, regulatory submissions, site management, and data collection, ensuring that all trials meet regulatory standards and are conducted ethically. With a dedicated team of experienced professionals, the center facilitates patient recruitment and retention, monitors trial progress, and ensures accurate data reporting. </p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 61, "name": "Clinical Research Unit Services"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per hour/person", "full_price": "240 EUR", "reduced_price": "180 EUR", "popularity": 3, "service_standard_legacy": "ICH GCP, MDR 2017/745 (and MDR 536/2014 for clinical drug trials)", "certification_support_legacy": "", "service_standards": [{"id": 73, "name": "ICH GCP", "code": false}, {"id": 70, "name": "MDR 2017/745", "code": false}], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 352, "name": "C-Scientific & Medical Communication", "domain": "Scientific"}, {"id": 370, "name": "C-Clinical Investigation Support (coordination, design, feasibility, documentation,compliance, operations support, etc.)", "domain": "Clinical"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.regulatory_roadmap"]}, {"id": 358, "name": "Clinical trial protocol", "unique_identifier": "cc899dbd-9804-4281-9112-9bda1e6b838d", "description": "Description of sequence and structure of particular activities of a clinical trial (CT). Selection of a suitable trial design and identification of alternative clinical trial designs and implementation issues. Service includes:\nInitial Consultation with CT Coordinator: planning of details of a trial such as endpoints and outcomes, sample size calculations, data management, study protocol, randomization, patient and site recruitment, funding, insurance, etc.\nCT Protocol: elaborating CT protocol for the Investigator (client company! Including necessary documentation kit for CT running (inform consent, donation agreement, etc.)\nCT Registration: submitting CT protocol to respective authorization body and in Clinical Trials Information System\nKey words: Clinical trial design, Clinical protocol, Clinical testing, Investigation, Research\n", "description_html": "<p>Description of sequence and structure of particular activities of a clinical trial (CT). Selection of a suitable trial design and identification of alternative clinical trial designs and implementation issues. Service includes:\nInitial Consultation with CT Coordinator: planning of details of a trial such as endpoints and outcomes, sample size calculations, data management, study protocol, randomization, patient and site recruitment, funding, insurance, etc.\nCT Protocol: elaborating CT protocol for the Investigator (client company! Including necessary documentation kit for CT running (inform consent, donation agreement, etc.)\nCT Registration: submitting CT protocol to respective authorization body and in Clinical Trials Information System\nKey words: Clinical trial design, Clinical protocol, Clinical testing, Investigation, Research</p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 19, "name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 55, "name": "Ethics & Legal Affairs"}, {"id": 5, "name": "Regulatory & Certification"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per hour/person", "full_price": "240 EUR", "reduced_price": "180 EUR", "popularity": 3, "service_standard_legacy": "Clinical Trials Regulation, ICH GCP Guidelines\n", "certification_support_legacy": "", "service_standards": [{"id": 74, "name": "Clinical Trials Regulation", "code": false}, {"id": 75, "name": "ICH GCP Guidelines", "code": false}], "certification_ids": [], "offering_ids": [{"id": 339, "name": "C-Data (FAIRness, preprocessing, standardization, best practices, etc.)", "domain": "Data"}, {"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 341, "name": "C-Quality Management", "domain": "Quality"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}, {"id": 352, "name": "C-Scientific & Medical Communication", "domain": "Scientific"}, {"id": 356, "name": "C-Development of conformity evaluation standards, protocols & tools", "domain": "Development"}, {"id": 370, "name": "C-Clinical Investigation Support (coordination, design, feasibility, documentation,compliance, operations support, etc.)", "domain": "Clinical"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_study", "tier2.regulatory_roadmap"]}, {"id": 359, "name": "SME initial consulting\t", "unique_identifier": "b9511dca-eaa8-4598-8b07-e37928e52efa", "description": "The initial consulting session with duration of 2 hours for a small-to-medium enterprise (SME) focuses on understanding the client's needs, identifying key challenges, and setting a foundation for a successful cooperation. Here\u2019s a structured breakdown of the session:\n- Introductions: brief background of the consultant and firm.\n- Objective Setting: explaining the purpose of the meeting and set clear expectations for the session.\n- Understanding client\u2019s background: gathering information about the SME\u2019s history, mission, vision, and values to understand its foundational context.\n- Discovery and needs assessment: reviewing the SME\u2019s core business, products/services, and key markets, current challenges and SME's top pain points (e.g. financial performance and cash flow issues, operational inefficiencies, marketing and sales challenges, talent management and retention, regulatory or compliance needs)\n- Setting up next steps: plan for utilization of TEF services a.k.a. \u201cplan for success\u201d\n- Open Q & A: answering any client questions or share additional thoughts, gathering feedback\nKey words: business consulting, business development, needs assessment, \u201cplan for success\u201d\n", "description_html": "<p>The initial consulting session with duration of 2 hours for a small-to-medium enterprise (SME) focuses on understanding the client's needs, identifying key challenges, and setting a foundation for a successful cooperation. Here\u2019s a structured breakdown of the session:\n- Introductions: brief background of the consultant and firm.\n- Objective Setting: explaining the purpose of the meeting and set clear expectations for the session.\n- Understanding client\u2019s background: gathering information about the SME\u2019s history, mission, vision, and values to understand its foundational context.\n- Discovery and needs assessment: reviewing the SME\u2019s core business, products/services, and key markets, current challenges and SME's top pain points (e.g. financial performance and cash flow issues, operational inefficiencies, marketing and sales challenges, talent management and retention, regulatory or compliance needs)\n- Setting up next steps: plan for utilization of TEF services a.k.a. \u201cplan for success\u201d\n- Open Q &amp; A: answering any client questions or share additional thoughts, gathering feedback\nKey words: business consulting, business development, needs assessment, \u201cplan for success\u201d</p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 1, "name": "Need", "code": "need", "number": 1}, {"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 10, "name": "Basic properties defined", "number": 1}, {"id": 11, "name": "Analytical study", "number": 2}, {"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}], "medical_domains": [], "ontology_categories": [{"id": 7, "name": "TEF Matchmaking & Intake"}, {"id": 25, "name": "Business Model & Market Readiness"}, {"id": 1, "name": "Consulting"}, {"id": 22, "name": "Initial Needs Assessment"}, {"id": 8, "name": "Strategic & Business Enablement"}, {"id": 23, "name": "Service Recommendation & Routing"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per hour/person", "full_price": "150 EUR", "reduced_price": "120 EUR", "popularity": 10, "service_standard_legacy": "ISO 20700:2017 Guidelines for management consultancy services, ICF Code of Ethics\n", "certification_support_legacy": "", "service_standards": [{"id": 77, "name": "ICF Code of Ethics", "code": false}, {"id": 76, "name": "ISO 20700:2017 Guidelines for management consultancy services", "code": false}], "certification_ids": [], "offering_ids": [{"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 360, "name": "Business model development", "unique_identifier": "b25f97bd-e7c1-4874-bdeb-bf22e41f17f7", "description": "Service helps the client company to build a sustainable model that can adapt and grow in a competitive market by focusing on several key components:\n- Market Research and Analysis: Understanding the market landscape, identifying trends, evaluating competitor business models, defining and segmenting the target customers based on their demographics, behaviours, and needs, identifying their pain points and unmet needs to ensure the business model addresses real customer challenges.\n- Value Proposition Design: defining the unique value the company offers, focusing on solving customer problems or delivering specific benefits, how the business\u2019s offering stands out from competitors\n- Revenue Model and Pricing Strategy: exploring sources of revenue, designing a pricing model that reflects the value delivered and aligns with customer willingness to pay.\n- Key Resources and Activities: determining the essential resources (human, financial, physical, and intellectual) and activities required to execute the business model.\n- Key Partnerships and Networks: identifying partners who can enhance value, such as suppliers, distributors, or technology providers.\n- Channel Strategy: determining the optimal channels for promotion and engagement, as well as selling to customers\n- Costs and Revenue: developing basic cash flow model\n- Performance Metrics: establishing key performance indicators (KPIs) to measure success\nKey words: Business consulting, Business development, Business model\n", "description_html": "<p>Service helps the client company to build a sustainable model that can adapt and grow in a competitive market by focusing on several key components:\n- Market Research and Analysis: Understanding the market landscape, identifying trends, evaluating competitor business models, defining and segmenting the target customers based on their demographics, behaviours, and needs, identifying their pain points and unmet needs to ensure the business model addresses real customer challenges.\n- Value Proposition Design: defining the unique value the company offers, focusing on solving customer problems or delivering specific benefits, how the business\u2019s offering stands out from competitors\n- Revenue Model and Pricing Strategy: exploring sources of revenue, designing a pricing model that reflects the value delivered and aligns with customer willingness to pay.\n- Key Resources and Activities: determining the essential resources (human, financial, physical, and intellectual) and activities required to execute the business model.\n- Key Partnerships and Networks: identifying partners who can enhance value, such as suppliers, distributors, or technology providers.\n- Channel Strategy: determining the optimal channels for promotion and engagement, as well as selling to customers\n- Costs and Revenue: developing basic cash flow model\n- Performance Metrics: establishing key performance indicators (KPIs) to measure success\nKey words: Business consulting, Business development, Business model</p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 1, "name": "Need", "code": "need", "number": 1}, {"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 11, "name": "Analytical study", "number": 2}, {"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 25, "name": "Business Model & Market Readiness"}, {"id": 1, "name": "Consulting"}, {"id": 8, "name": "Strategic & Business Enablement"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per hour/person", "full_price": "150 EUR", "reduced_price": "120 EUR", "popularity": 5, "service_standard_legacy": "ISO 20700:2017 Guidelines for management consultancy services", "certification_support_legacy": "", "service_standards": [{"id": 76, "name": "ISO 20700:2017 Guidelines for management consultancy services", "code": false}], "certification_ids": [], "offering_ids": [{"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 361, "name": "Product and market validation", "unique_identifier": "2c903909-7add-4d73-8baa-c01880544255", "description": "Testing assumptions about a product and its target market to ensure there\u2019s demand and that the product meets customer needs. Within the service client can choose from individual testing option or their combination:\n- Customer Interviews and Surveys: talking to potential customers to gain qualitative insights into their needs, pain points, and buying criteria and/or sending surveys to gather data on a broader scale.\n- Testing Minimum Viable Product (MVP) with Early Adopters: offering the MVP to group of customers who like to try new products and collect feedback on product usability, satisfaction, and willingness to pay.\n- Analysing Market Demand through Landing Pages or Pre-Sales: setting up a simple landing page describing the product and its benefits with a call-to-action, such as signing up or pre-ordering. Using online advertising to drive traffic to the landing page and measuring the conversion rate of sign-ups or pre-orders.\n- A/B Testing: running A/B tests - experiment with different versions of client MVP, landing page, or pricing to see which elements resonate best with the target audience.\nKey words: Business consulting, Product testing, Market analysis, Market validation, Customer feedback\n", "description_html": "<p>Testing assumptions about a product and its target market to ensure there\u2019s demand and that the product meets customer needs. Within the service client can choose from individual testing option or their combination:\n- Customer Interviews and Surveys: talking to potential customers to gain qualitative insights into their needs, pain points, and buying criteria and/or sending surveys to gather data on a broader scale.\n- Testing Minimum Viable Product (MVP) with Early Adopters: offering the MVP to group of customers who like to try new products and collect feedback on product usability, satisfaction, and willingness to pay.\n- Analysing Market Demand through Landing Pages or Pre-Sales: setting up a simple landing page describing the product and its benefits with a call-to-action, such as signing up or pre-ordering. Using online advertising to drive traffic to the landing page and measuring the conversion rate of sign-ups or pre-orders.\n- A/B Testing: running A/B tests - experiment with different versions of client MVP, landing page, or pricing to see which elements resonate best with the target audience.\nKey words: Business consulting, Product testing, Market analysis, Market validation, Customer feedback</p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 25, "name": "Business Model & Market Readiness"}, {"id": 1, "name": "Consulting"}, {"id": 8, "name": "Strategic & Business Enablement"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per hour/person", "full_price": "150 EUR", "reduced_price": "120 EUR", "popularity": 5, "service_standard_legacy": "ISO 20700:2017 Guidelines for management consultancy services\n", "certification_support_legacy": "", "service_standards": [{"id": 76, "name": "ISO 20700:2017 Guidelines for management consultancy services", "code": false}], "certification_ids": [], "offering_ids": [{"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 362, "name": "Innovation management\u2028", "unique_identifier": "ac6cfbff-dee0-4825-9ad1-6f7cb1ef66f5", "description": "Service suitable for middle and large client organizations striving to build functioning innovation ecosystem. It consists of three interconnected parts:\n- Assessment of Current State: evaluating current innovation culture, key stakeholders, talents, projects, idea pipelines, processes, partnerships, documentation, infrastructure (including IT), funding & investments and digitalization maturity within client organization.\n- Developing Roadmap for Future: elaborating simple and understandable path to improve current \u201cstatus quo\u201d within organization innovation management. Included will be \u201cquick wins\u201d -  small, easy-to-implement measures that bring immediate positive results.\n- Interim Innovation Management: additional optional support to client organization management board. Based on developed roadmap in previous step delivering individual works to establish functional innovation management within client organization for short-term period (up to 6 months).\nKey words: Innovation, Creative ideas, Spin-off/Startup, Innovation labs, Research & Development & Innovation management\n", "description_html": "<p>Service suitable for middle and large client organizations striving to build functioning innovation ecosystem. It consists of three interconnected parts:\n- Assessment of Current State: evaluating current innovation culture, key stakeholders, talents, projects, idea pipelines, processes, partnerships, documentation, infrastructure (including IT), funding &amp; investments and digitalization maturity within client organization.\n- Developing Roadmap for Future: elaborating simple and understandable path to improve current \u201cstatus quo\u201d within organization innovation management. Included will be \u201cquick wins\u201d -  small, easy-to-implement measures that bring immediate positive results.\n- Interim Innovation Management: additional optional support to client organization management board. Based on developed roadmap in previous step delivering individual works to establish functional innovation management within client organization for short-term period (up to 6 months).\nKey words: Innovation, Creative ideas, Spin-off/Startup, Innovation labs, Research &amp; Development &amp; Innovation management</p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 1, "name": "Need", "code": "need", "number": 1}, {"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [], "medical_domains": [], "ontology_categories": [{"id": 25, "name": "Business Model & Market Readiness"}, {"id": 1, "name": "Consulting"}, {"id": 8, "name": "Strategic & Business Enablement"}, {"id": 27, "name": "Innovation Management"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per hour/person", "full_price": "150 EUR", "reduced_price": "120 EUR", "popularity": 8, "service_standard_legacy": "ISO 20700:2017 Guidelines for management consultancy services\n", "certification_support_legacy": "", "service_standards": [{"id": 76, "name": "ISO 20700:2017 Guidelines for management consultancy services", "code": false}], "certification_ids": [], "offering_ids": [{"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 363, "name": "Legal support", "unique_identifier": "e67da5b1-b75b-4f10-8d9e-4c3a68eb908d", "description": "Service delivers to client company specialized legal services based on the organization or founder(s) needs. It consists of:\n- Legal Advisory in IP Protection: expert guidance on securing and managing intellectual property rights, including patents, trademarks, copyrights, and trade secrets. It helps businesses prevent unauthorized use and protect their innovations, brand identity, and creative assets from infringement.\n- IP protection application: submitting the IP protection application on the behalf of the client for particular IP on national or internation (European) level.\n- Legal advisory on legal form establishment: assists in selecting the appropriate business structure, such as LLC, corporation, or partnership, based on business goals and legal requirements. This guidance ensures compliance with regulations and optimizes tax, liability, and ownership considerations.\n- Legal form set up: manages the legal steps to formally register a business entity, such as preparing legal documents of incorporation, partnership agreements, or LLC documentation. It includes filing necessary paperwork with government authorities and setting up a compliant legal structure.\n- Advisory in \u200b\u200bObtaining CE Marking: helps businesses understand the requirements for CE marking, which signifies conformity with EU health, safety, and environmental protection standards. It guides companies through compliance documentation, testing, and the assessment process needed to sell products in the European Economic Area.\n- Obtaining CE Marking: involves the practical steps of testing, certification, and documentation to ensure a product meets EU regulatory standards and qualifies for CE marking. The service also includes coordination with notified bodies or relevant testing agencies to confirm compliance.\n- Cap Table\u201c Legal Advisory: provides guidance on managing ownership structure, equity distribution, and shareholder interests within a company. It includes advice on structuring investments, issuing shares, and planning for future financing rounds to ensure equity stability and alignment with business growth plans.\nKey words: Legal advisory, IP protection, CE mark, Company set up, Legal form, Ownership, Shares\n", "description_html": "<p>Service delivers to client company specialized legal services based on the organization or founder(s) needs. It consists of:\n- Legal Advisory in IP Protection: expert guidance on securing and managing intellectual property rights, including patents, trademarks, copyrights, and trade secrets. It helps businesses prevent unauthorized use and protect their innovations, brand identity, and creative assets from infringement.\n- IP protection application: submitting the IP protection application on the behalf of the client for particular IP on national or internation (European) level.\n- Legal advisory on legal form establishment: assists in selecting the appropriate business structure, such as LLC, corporation, or partnership, based on business goals and legal requirements. This guidance ensures compliance with regulations and optimizes tax, liability, and ownership considerations.\n- Legal form set up: manages the legal steps to formally register a business entity, such as preparing legal documents of incorporation, partnership agreements, or LLC documentation. It includes filing necessary paperwork with government authorities and setting up a compliant legal structure.\n- Advisory in \u200b\u200bObtaining CE Marking: helps businesses understand the requirements for CE marking, which signifies conformity with EU health, safety, and environmental protection standards. It guides companies through compliance documentation, testing, and the assessment process needed to sell products in the European Economic Area.\n- Obtaining CE Marking: involves the practical steps of testing, certification, and documentation to ensure a product meets EU regulatory standards and qualifies for CE marking. The service also includes coordination with notified bodies or relevant testing agencies to confirm compliance.\n- Cap Table\u201c Legal Advisory: provides guidance on managing ownership structure, equity distribution, and shareholder interests within a company. It includes advice on structuring investments, issuing shares, and planning for future financing rounds to ensure equity stability and alignment with business growth plans.\nKey words: Legal advisory, IP protection, CE mark, Company set up, Legal form, Ownership, Shares</p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 52, "name": "Regulatory Roadmap & Gap Analysis"}, {"id": 54, "name": "CE Marking & Notified Body Support"}, {"id": 55, "name": "Ethics & Legal Affairs"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per hour/person", "full_price": "170 EUR", "reduced_price": "140 EUR", "popularity": 3, "service_standard_legacy": "EU IPR Legislation, Slovak Commercial Code, Regulation (EU) 2017/745, Regulation (EU) 2017/746, \u00a0Directive 93/42/EEC, Directive 90/385/EEC", "certification_support_legacy": "", "service_standards": [{"id": 81, "name": "Directive 90/385/EEC", "code": false}, {"id": 78, "name": "EU IPR Legislation", "code": false}, {"id": 70, "name": "MDR 2017/745", "code": false}, {"id": 80, "name": "Regulation (EU) 2017/746; Directive 93/42/EEC", "code": false}, {"id": 79, "name": "Slovak Commercial Code", "code": false}], "certification_ids": [], "offering_ids": [{"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": []}, {"id": 364, "name": "Regulatory Lab: MDR-Workshops", "unique_identifier": "d5309633-7a43-4ca6-ab7f-e9cf1674c325", "description": "Our company-specific modular MDR-workshops offer hands-on training on various relevant topics of the Medical Device Regulation (MDR) and the general medical device field. These intensive workshops are divided into compact and practice-oriented modules that cover the key requirements of each respective topic. An example is the Module 1 workshop \u201cRegulatory Requirements for Your Medical Device,\u201d which provides a compact and practice-oriented overview of the key regulatory requirements in the medical device field. The workshop content is tailored to the company\u2019s specific needs beforehand, and additional topics can be booked in modular fashion. Thus, specific topics such as Clinical Evaluations, Technical Documentation, and Quality Management can be booked individually and customized to the company's needs.     The content is structured in such a way that participants are optimally prepared for the MDR requirements and can directly apply their knowledge. A regular workshop usually lasts two days and includes gap analyses in the form of checklists as well as the creation of an action plan. Practical exercises additionally introduce the creation of documentation and processes tailored to the individual company. Participants also receive current informational materials and clinical insights from practice.\n\nOur workshops provide companies with the opportunity to not only further educate individual employees but also empower their team to implement the MDR and other regulations within the company. Our goal is to strengthen and support the team in jointly managing the various regulatory requirements and to guide the transition from overview and understanding to practical implementation. \nKeywords:    MDR Workshop, MDR, Medical Device Regulation, Modular Workshops, Hands-On Training, Medical Devices, Regulatory Requirements, Practical, Gap Analyses, Action Plan, Clinical Evaluation, Quality Management, Usability, Post-Market Surveillance (PMS), Post-Market Clinical Follow-Up (PMCF), Charit\u00e9 - Universit\u00e4tsmedizin Berlin", "description_html": "<p>Our company-specific modular MDR-workshops offer hands-on training on various relevant topics of the Medical Device Regulation (MDR) and the general medical device field. These intensive workshops are divided into compact and practice-oriented modules that cover the key requirements of each respective topic. An example is the Module 1 workshop \u201cRegulatory Requirements for Your Medical Device,\u201d which provides a compact and practice-oriented overview of the key regulatory requirements in the medical device field. The workshop content is tailored to the company\u2019s specific needs beforehand, and additional topics can be booked in modular fashion. Thus, specific topics such as Clinical Evaluations, Technical Documentation, and Quality Management can be booked individually and customized to the company's needs.     The content is structured in such a way that participants are optimally prepared for the MDR requirements and can directly apply their knowledge. A regular workshop usually lasts two days and includes gap analyses in the form of checklists as well as the creation of an action plan. Practical exercises additionally introduce the creation of documentation and processes tailored to the individual company. Participants also receive current informational materials and clinical insights from practice.</p>\n<p>Our workshops provide companies with the opportunity to not only further educate individual employees but also empower their team to implement the MDR and other regulations within the company. Our goal is to strengthen and support the team in jointly managing the various regulatory requirements and to guide the transition from overview and understanding to practical implementation. \nKeywords:    MDR Workshop, MDR, Medical Device Regulation, Modular Workshops, Hands-On Training, Medical Devices, Regulatory Requirements, Practical, Gap Analyses, Action Plan, Clinical Evaluation, Quality Management, Usability, Post-Market Surveillance (PMS), Post-Market Clinical Follow-Up (PMCF), Charit\u00e9 - Universit\u00e4tsmedizin Berlin</p>", "service_provider": "CEED - Charit\u00e9 Healthcare Services GmbH", "service_provider_id": 2502, "service_provider_logo": "data:image/jpeg;base64,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", "service_provider_institution": "Charit\u00e9 \u2014 Universitaetsmedizin Berlin", "service_provider_institution_id": 526, "service_provider_hierarchy": [{"id": 526, "name": "Charit\u00e9 \u2014 Universitaetsmedizin Berlin"}, {"id": 2502, "name": "CEED - 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We assist you with product identification, clarify demarcation questions, and support product classifications as well as the selection and implementation of the conformity assessment procedure. Additionally, we maintain close contact and communication with the Notified Body to effectively meet your requirements. Our service also includes consulting on Quality Management Systems according to ISO 13485 and re-certification. Our experts support you in technical documentation, conduct gap and requirements analyses, and prepare you for inspections. We also offer internal audits to ensure that your systems and processes comply with current regulatory requirements and are continuously improved.\n\nOur consulting topics particularly include clinical evaluation, including advice on clinical strategy and clinical benefits, as well as equivalence assessment. We provide comprehensive advice on the selection of clinical data, determine the type and extent of required data, and recommend suitable data sources and methods of data collection, including Real-World Data (RWD). Furthermore, we support the assessment of evidence levels and classes, as well as ensuring data quality and quantity.\n\nIn the area of Post-Market Surveillance (PMS) and Post-Market Clinical Follow-Up (PMCF), we offer consulting on the development of PMS and PMCF strategies and support in individual PMS and PMCF activities such as studies and surveys.                                                                                                         Additionally, we provide advice on the establishment and implementation of usability engineering and requirement processes to optimize the usability of your medical devices.\nKeywords: Regulatory Strategy, Consulting, Medical Devices, Intended use, Product Classification, Conformity Assessment Procedure, ISO 13485, Technical Documentation, Gap Analysis, Inspections, Internal Audits, Clinical Evaluation, Clinical Data, Real-World Data (RWD), Post-Market Surveillance (PMS), Post-Market Clinical Follow-Up (PMCF), Usability Engineering, Charit\u00e9 - Universit\u00e4tsmedizin Berlin", "description_html": "<p>Our clinic-oriented regulatory strategy consulting offers comprehensive, individualized advice and support on specific issues in the medical device field. We assist you with product identification, clarify demarcation questions, and support product classifications as well as the selection and implementation of the conformity assessment procedure. Additionally, we maintain close contact and communication with the Notified Body to effectively meet your requirements. Our service also includes consulting on Quality Management Systems according to ISO 13485 and re-certification. Our experts support you in technical documentation, conduct gap and requirements analyses, and prepare you for inspections. We also offer internal audits to ensure that your systems and processes comply with current regulatory requirements and are continuously improved.</p>\n<p>Our consulting topics particularly include clinical evaluation, including advice on clinical strategy and clinical benefits, as well as equivalence assessment. We provide comprehensive advice on the selection of clinical data, determine the type and extent of required data, and recommend suitable data sources and methods of data collection, including Real-World Data (RWD). Furthermore, we support the assessment of evidence levels and classes, as well as ensuring data quality and quantity.</p>\n<p>In the area of Post-Market Surveillance (PMS) and Post-Market Clinical Follow-Up (PMCF), we offer consulting on the development of PMS and PMCF strategies and support in individual PMS and PMCF activities such as studies and surveys.                                                                                                         Additionally, we provide advice on the establishment and implementation of usability engineering and requirement processes to optimize the usability of your medical devices.\nKeywords: Regulatory Strategy, Consulting, Medical Devices, Intended use, Product Classification, Conformity Assessment Procedure, ISO 13485, Technical Documentation, Gap Analysis, Inspections, Internal Audits, Clinical Evaluation, Clinical Data, Real-World Data (RWD), Post-Market Surveillance (PMS), Post-Market Clinical Follow-Up (PMCF), Usability Engineering, Charit\u00e9 - Universit\u00e4tsmedizin Berlin</p>", "service_provider": "CEED - Charit\u00e9 Healthcare Services GmbH", "service_provider_id": 2502, "service_provider_logo": "data:image/jpeg;base64,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", "service_provider_institution": "Charit\u00e9 \u2014 Universitaetsmedizin Berlin", "service_provider_institution_id": 526, "service_provider_hierarchy": [{"id": 526, "name": "Charit\u00e9 \u2014 Universitaetsmedizin Berlin"}, {"id": 2502, "name": "CEED - 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This collaboration allows for discussions of product ideas, evaluation of technical details and design aspects, identification of potential challenges, and development of innovative solutions that meet the needs of users and patients while adhering to the highest standards.\n\nKeywords:Expert Panels, Group Discussions, Clinical Expertise, Requirements Analysis, Workshops, User and Clinical Requirements, Requirements Engineering, Usability Engineering", "description_html": "<p>Our expert panels and workshops bring together professionals from various clinical areas to provide valuable insights and expertise during early concept, planning, design, and development phases. 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This can include evaluating processes, workflows, or medical equipment to derive measures and product ideas that improve the efficiency, effectiveness, and quality of patient care, as well as the working conditions of clinical staff. The analyses enable products to be tailored to the specific needs and requirements of the clinic, fostering market-oriented innovations and enhancing efficiency and customer retention.\n\nOur Medical Needs Analyses focus on investigating requirements and needs in healthcare, including assessing the current state of research and technology. The analyses provide insights into the prevention, diagnosis, and treatment of diseases, as well as trends and challenges. They serve as a foundation for developing new products and services that meet or exceed current medical standards and support targeted innovation and effective resource utilization.\n\nKeywords:\nClinical Expertise, Clinical Requirements, Medical Requirements, State of the Art, Market Needs, Literature Research, Interviews, Workshops, Workplace Analyses", "description_html": "<p>Our Clinical Needs Analyses focus on examining specific requirements and needs within the clinic. This can include evaluating processes, workflows, or medical equipment to derive measures and product ideas that improve the efficiency, effectiveness, and quality of patient care, as well as the working conditions of clinical staff. The analyses enable products to be tailored to the specific needs and requirements of the clinic, fostering market-oriented innovations and enhancing efficiency and customer retention.</p>\n<p>Our Medical Needs Analyses focus on investigating requirements and needs in healthcare, including assessing the current state of research and technology. The analyses provide insights into the prevention, diagnosis, and treatment of diseases, as well as trends and challenges. 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The tests may include evaluating performance, usability, safety, or user-friendliness of the products under real or simulated use conditions. The goal is to gain precise insights into the functionality and effectiveness of the products to make informed decisions about their use and potential improvements. Additionally, if needed, interviews, service evaluations, or expert panels can be conducted to gather further insights into the current use and performance of the products.\n\nKeywords:\nExisting Product Analyses, Effectiveness, Efficiency, Satisfaction, Usability, Clinical Expertise, Product Improvements, Post-Market Evaluations, Surveys, Interviews", "description_html": "<p>With our existing product evaluations, we can review and assess products that are already on the market and used at Charit\u00e9. The tests may include evaluating performance, usability, safety, or user-friendliness of the products under real or simulated use conditions. 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Additionally, if needed, interviews, service evaluations, or expert panels can be conducted to gather further insights into the current use and performance of the products.</p>\n<p>Keywords:\nExisting Product Analyses, Effectiveness, Efficiency, Satisfaction, Usability, Clinical Expertise, Product Improvements, Post-Market Evaluations, Surveys, Interviews</p>", "service_provider": "CEED - Charit\u00e9 Healthcare Services GmbH", "service_provider_id": 2502, "service_provider_logo": "data:image/jpeg;base64,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", "service_provider_institution": "Charit\u00e9 \u2014 Universitaetsmedizin Berlin", "service_provider_institution_id": 526, "service_provider_hierarchy": [{"id": 526, "name": "Charit\u00e9 \u2014 Universitaetsmedizin Berlin"}, {"id": 2502, "name": "CEED - 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The training delivers practical, product- and company-independent fundamental knowledge required for this role. It clearly outlines the rights, responsibilities, and obligations of medical device advisors and is supported by the legal requirements of the MPDG and MDR. It is suitable for both new professionals entering the field and for updating and refreshing existing knowledge.\n\nKeywords:\nTraining Concept according to MPDG, Rights and Responsibilities of Medical Device Manufacturer Employees, Fundamental Knowledge, Clinical Insights, On-Site or Online", "description_html": "<p>Our medical device advisor training is aimed at all employees of medical device manufacturers and trading companies who inform about medical devices and provide training on their use. The training delivers practical, product- and company-independent fundamental knowledge required for this role. It clearly outlines the rights, responsibilities, and obligations of medical device advisors and is supported by the legal requirements of the MPDG and MDR. 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These studies assess technical, economic, and temporal aspects to determine the feasibility of a project and involve experts from various fields at Charit\u00e9. The goal is to make informed decisions about the further development and implementation of innovations, based on the analysis of potential challenges and opportunities.\n\nAdditionally, our Proof of Concept (PoC) studies provide the opportunity to demonstrate the fundamental feasibility and effectiveness of new concepts or technologies. Under realistic conditions, technical functionalities are validated and initial insights into the performance of the concept are gained. PoC studies are crucial for the early phase of product development as they provide a solid foundation for further research and decisions regarding the future pursuit of an idea.\n\nKeywords: Feasibility studies, Viability, Feasibility, Product ideas, Implementability, Project evaluation, Experts, Innovations, Opportunity analysis, Implementation, Proof of Concept, PoC studies, Technical functionalities, Realistic conditions, Early phase of product development, Research, Decision basis, Concept validation", "description_html": "<p>We offer feasibility studies to investigate the viability and practicability of new product ideas or technologies. These studies assess technical, economic, and temporal aspects to determine the feasibility of a project and involve experts from various fields at Charit\u00e9. The goal is to make informed decisions about the further development and implementation of innovations, based on the analysis of potential challenges and opportunities.</p>\n<p>Additionally, our Proof of Concept (PoC) studies provide the opportunity to demonstrate the fundamental feasibility and effectiveness of new concepts or technologies. Under realistic conditions, technical functionalities are validated and initial insights into the performance of the concept are gained. PoC studies are crucial for the early phase of product development as they provide a solid foundation for further research and decisions regarding the future pursuit of an idea.</p>\n<p>Keywords: Feasibility studies, Viability, Feasibility, Product ideas, Implementability, Project evaluation, Experts, Innovations, Opportunity analysis, Implementation, Proof of Concept, PoC studies, Technical functionalities, Realistic conditions, Early phase of product development, Research, Decision basis, Concept validation</p>", "service_provider": "CEED - Charit\u00e9 Healthcare Services GmbH", "service_provider_id": 2502, "service_provider_logo": "data:image/jpeg;base64,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", "service_provider_institution": "Charit\u00e9 \u2014 Universitaetsmedizin Berlin", "service_provider_institution_id": 526, "service_provider_hierarchy": [{"id": 526, "name": "Charit\u00e9 \u2014 Universitaetsmedizin Berlin"}, {"id": 2502, "name": "CEED - 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The models can be combined to develop and simulate brain digital twins of neuropathologies. \n\n \n\nMethod description:\n\nCustomization of micro-circuits tailored to specific pathological and/or pharmacological needs. These circuits will be refined and optimized for simulations, with the resulting data integrated into a clinical framework and/or used to model pathological behaviors in a virtual brain twin.\n\nMethod reference:\n\nLocal method respecting General Data Protection Regulation (GDPR).", "description_html": "<p>This service offers the construction and simulation of neurons and micro-circuits for neurological and neuropharmacological applications. The models can be combined to develop and simulate brain digital twins of neuropathologies. </p>\n<p>Method description:</p>\n<p>Customization of micro-circuits tailored to specific pathological and/or pharmacological needs. These circuits will be refined and optimized for simulations, with the resulting data integrated into a clinical framework and/or used to model pathological behaviors in a virtual brain twin.</p>\n<p>Method reference:</p>\n<p>Local method respecting General Data Protection Regulation (GDPR).</p>", "service_provider": "Universita Degli Studi Di Pavia (UNIPV)", "service_provider_id": 531, "service_provider_logo": "", "service_provider_institution": "Universita Degli Studi Di Pavia (UNIPV)", "service_provider_institution_id": 531, "service_provider_hierarchy": [{"id": 531, "name": "Universita Degli Studi Di Pavia (UNIPV)"}], "logos": [], "service_category": "virtual", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 11, "name": "Analytical study", "number": 2}, {"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [{"id": 10, "name": "Neurology", "code": "NEUR"}], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 3, "name": "Software & AI"}, {"id": 44, "name": "In-Silico Simulation & Digital Twins"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Italy", "service_provider_country_flag": "\ud83c\uddee\ud83c\uddf9", "service_provider_country_code": "IT", "billing": "Per hour", "full_price": "80-160 EUR", "reduced_price": "0-100 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.simulated_environment"]}, {"id": 383, "name": "Real world testing - functional testing", "unique_identifier": "361aeb39-bd87-47cf-91df-128ee996a467", "description": "Leverage the hospital's extensive operational expertise and infrastructure to evaluate your product in both simulated and real-world hospital environments. This service focuses on assessing logistics, flow management, and process efficiency, providing SMEs with detailed feedback on the performance and compatibility of their solutions within hospital workflows.\nKeywords: real-world testing, hospital settings, departments, expert opinion", "description_html": "<p>Leverage the hospital's extensive operational expertise and infrastructure to evaluate your product in both simulated and real-world hospital environments. This service focuses on assessing logistics, flow management, and process efficiency, providing SMEs with detailed feedback on the performance and compatibility of their solutions within hospital workflows.\nKeywords: real-world testing, hospital settings, departments, expert opinion</p>", "service_provider": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_id": 525, "service_provider_logo": "", "service_provider_institution": "Univerzitna Nemocnica Martin (University Hospital Martin)", "service_provider_institution_id": 525, "service_provider_hierarchy": [{"id": 525, "name": "Univerzitna Nemocnica Martin (University Hospital Martin)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}, {"id": 60, "name": "Testing of high-risk AI systems in real world conditions outside AI regulatory sandboxes", "code": "art_60", "number": "Art. 60"}], "mdr_classes": [], "trl_levels": [{"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 50, "name": "Simulated Clinical Rooms"}, {"id": 62, "name": "Usability Testing (Formative/Summative)"}, {"id": 16, "name": "Clinical Testbeds"}, {"id": 20, "name": "Clinical Usability & Validation"}, {"id": 51, "name": "Real-World Testing Sites"}, {"id": 4, "name": "Hardware & Robotics"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "hardware_robotics", "name": "Hardware & Robotics"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Slovakia", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddf0", "service_provider_country_code": "SK", "billing": "per hour/person", "full_price": "200 EUR", "reduced_price": "50 EUR", "popularity": 8, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 359, "name": "P-Testing Facility Real-World (ER, OR, ICU, office, ambulance, ward, patient home, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.simulated_environment", "tier2.testing_facilities"]}, {"id": 384, "name": "Anatomic pathology: human prepared slides, data, analysis, expertise", "unique_identifier": "2e5b83a6-d28e-438c-b44f-deb42317bfa6", "description": "Anatomic pathology slides: preparation +/- associated patient clinical data +/- analysis +/- software evaluation +/- medical expertise; cancer, lesion, sample, biopsy, tissue, organ; histology, diagnosis, genetic; microscope, scanner", "description_html": "<p>Anatomic pathology slides: preparation +/- associated patient clinical data +/- analysis +/- software evaluation +/- medical expertise; cancer, lesion, sample, biopsy, tissue, organ; histology, diagnosis, genetic; microscope, scanner</p>", "service_provider": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_id": 516, "service_provider_logo": "", "service_provider_institution": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)", "service_provider_institution_id": 516, "service_provider_hierarchy": [{"id": 516, "name": "Centre Hospitalier Universitaire De Rennes (CHU RENNES)"}], "logos": [], "service_category": "physical", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [{"id": 2, "name": "Pathology", "code": "PATH"}, {"id": 11, "name": "Oncology", "code": "ONCO"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 2, "name": "Data"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "France", "service_provider_country_flag": "\ud83c\uddeb\ud83c\uddf7", "service_provider_country_code": "FR", "billing": "Per act", "full_price": "20-1000 EUR", "reduced_price": "10-1000 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 360, "name": "P-Testing Laboratory (bioanalysis, wet lab, *-omics, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.laboratory_facilities", "tier2.existing_data"]}, {"id": 385, "name": "AI model evaluation and benchmarking on genomic datasets", "unique_identifier": "9ca5abe5-d81b-4e98-89ac-4d7b320b6ab8", "description": "## Overview  \n\nThis service provides a comprehensive evaluation and benchmarking report for SMEs' AI models, leveraging genomic research datasets. Following agreed-upon protocols and recommendations, the AI model is rigorously tested against curated datasets. This occurs in a secure environment managed by Karolinska Institutet. SMEs submit their models to the Swedish TEF Health node under pre-signed agreements, ensuring full confidentiality. The evaluation and benchmarking process produces detailed insights, resulting in a report that supports SMEs in validating and refining their AI solutions.  \n\nWe provide expertise and technical support in the following areas:  \n\n- Project design & management  \n- AI model evaluation and benchmarking  \n\n### How can the service help you?  \n\nThis service helps address uncertainties about your AI model\u2019s performance on external datasets. By providing thorough validation, it demonstrates the maturity and reliability of your model. The resulting report can serve as a valuable tool to build trust and confidence among stakeholders, supporting your efforts to showcase the model\u2019s capabilities.  \n\n### How the service will be delivered?  \n\nThe service will be delivered according to established ethical agreements and guidelines, in collaboration with the SME and researchers from the Swedish TEF-Health node. Data usage is facilitated through a secure virtual environment managed by Karolinska Institutet, ensuring the highest standards of data protection.  \n\n---\n\n## Additional information  \n\n### Provider description  \n\nThe Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.  \n\n### Technical description  \n\nThe service evaluates AI models in a secure environment using high-performance computing infrastructure optimized for large genomic datasets. Models are tested against curated and annotated genomic datasets using state-of-the-art frameworks such as TensorFlow and scikit-learn. Evaluation metrics, including accuracy, precision, and recall, are calculated to benchmark performance against industry standards and reference models. Encrypted storage and strict access controls ensure data security.  \n\n### Service customization  \n\nThe service can be customized according to your specific needs. It may be required to combine this service with other services on offer.  \n\n---\n\n## Use case example  \n\n### Context  \n\nA biotech SME specializing in rare diseases has developed an AI model to predict genetic predispositions for a rare neurological disorder. The model was trained on internal datasets but has not been validated on external genomic data. Investors and clinical partners are reluctant to adopt the solution without independent evaluation and benchmarking to ensure its generalizability and maturity.  \n\n### Objective  \n\nTo validate the AI model\u2019s accuracy and robustness on external genomic datasets, benchmark its performance against existing solutions, and deliver a detailed evaluation report to gain stakeholder trust and regulatory approval.  \n\n### Solution  \n\nThe SME submits its AI model to the Swedish TEF-Health node for evaluation. Using secure infrastructure and curated genomic datasets relevant to rare diseases, the model undergoes extensive testing and benchmarking against industry standards.  \n\n### Implementation  \n\n#### Ethical Agreement  \n\nThe SME enters into an ethical agreement with researchers from the Swedish TEF-Health node, ensuring all data collection and usage complies with GDPR and national Swedish regulations.  \n\n#### Secure Access  \n\nUsage of the collected data is facilitated through a secure virtual environment managed by Karolinska Institutet, ensuring the highest standards of data protection.  \n\n#### Evaluation and Benchmarking  \n\nThe model is assessed using metrics like sensitivity, specificity, and ROC-AUC, focusing on its performance in predicting rare disease risks.  \n\n#### Outcome  \n\nA benchmarking report is generated, highlighting the model's strengths, weaknesses, and recommendations for improvement.  \n\n### Benefits  \n\n- **Validation & Credibility**: Independent validation enhances trust among clinical and regulatory stakeholders.  \n- **Competitive Benchmarking**: Aligning with industry standards provides an advantage in the rare disease AI market.  \n- **Model Refinement**: Insights from the report drive improvements for clinical readiness.  \n\n### Impact  \n\nThe SME secures stakeholder confidence, accelerates discussions with clinical partners, and positions its AI solution as a trusted tool for rare disease risk prediction, paving the way for market adoption and broader collaborations.  ", "description_html": "<h2>Overview</h2>\n<p>This service provides a comprehensive evaluation and benchmarking report for SMEs' AI models, leveraging genomic research datasets. Following agreed-upon protocols and recommendations, the AI model is rigorously tested against curated datasets. This occurs in a secure environment managed by Karolinska Institutet. SMEs submit their models to the Swedish TEF Health node under pre-signed agreements, ensuring full confidentiality. The evaluation and benchmarking process produces detailed insights, resulting in a report that supports SMEs in validating and refining their AI solutions.  </p>\n<p>We provide expertise and technical support in the following areas:  </p>\n<ul>\n<li>Project design &amp; management  </li>\n<li>AI model evaluation and benchmarking  </li>\n</ul>\n<h3>How can the service help you?</h3>\n<p>This service helps address uncertainties about your AI model\u2019s performance on external datasets. By providing thorough validation, it demonstrates the maturity and reliability of your model. The resulting report can serve as a valuable tool to build trust and confidence among stakeholders, supporting your efforts to showcase the model\u2019s capabilities.  </p>\n<h3>How the service will be delivered?</h3>\n<p>The service will be delivered according to established ethical agreements and guidelines, in collaboration with the SME and researchers from the Swedish TEF-Health node. Data usage is facilitated through a secure virtual environment managed by Karolinska Institutet, ensuring the highest standards of data protection.  </p>\n<hr>\n<h2>Additional information</h2>\n<h3>Provider description</h3>\n<p>The Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.  </p>\n<h3>Technical description</h3>\n<p>The service evaluates AI models in a secure environment using high-performance computing infrastructure optimized for large genomic datasets. Models are tested against curated and annotated genomic datasets using state-of-the-art frameworks such as TensorFlow and scikit-learn. Evaluation metrics, including accuracy, precision, and recall, are calculated to benchmark performance against industry standards and reference models. Encrypted storage and strict access controls ensure data security.  </p>\n<h3>Service customization</h3>\n<p>The service can be customized according to your specific needs. It may be required to combine this service with other services on offer.  </p>\n<hr>\n<h2>Use case example</h2>\n<h3>Context</h3>\n<p>A biotech SME specializing in rare diseases has developed an AI model to predict genetic predispositions for a rare neurological disorder. The model was trained on internal datasets but has not been validated on external genomic data. Investors and clinical partners are reluctant to adopt the solution without independent evaluation and benchmarking to ensure its generalizability and maturity.  </p>\n<h3>Objective</h3>\n<p>To validate the AI model\u2019s accuracy and robustness on external genomic datasets, benchmark its performance against existing solutions, and deliver a detailed evaluation report to gain stakeholder trust and regulatory approval.  </p>\n<h3>Solution</h3>\n<p>The SME submits its AI model to the Swedish TEF-Health node for evaluation. Using secure infrastructure and curated genomic datasets relevant to rare diseases, the model undergoes extensive testing and benchmarking against industry standards.  </p>\n<h3>Implementation</h3>\n<h4>Ethical Agreement</h4>\n<p>The SME enters into an ethical agreement with researchers from the Swedish TEF-Health node, ensuring all data collection and usage complies with GDPR and national Swedish regulations.  </p>\n<h4>Secure Access</h4>\n<p>Usage of the collected data is facilitated through a secure virtual environment managed by Karolinska Institutet, ensuring the highest standards of data protection.  </p>\n<h4>Evaluation and Benchmarking</h4>\n<p>The model is assessed using metrics like sensitivity, specificity, and ROC-AUC, focusing on its performance in predicting rare disease risks.  </p>\n<h4>Outcome</h4>\n<p>A benchmarking report is generated, highlighting the model's strengths, weaknesses, and recommendations for improvement.  </p>\n<h3>Benefits</h3>\n<ul>\n<li><strong>Validation &amp; Credibility</strong>: Independent validation enhances trust among clinical and regulatory stakeholders.  </li>\n<li><strong>Competitive Benchmarking</strong>: Aligning with industry standards provides an advantage in the rare disease AI market.  </li>\n<li><strong>Model Refinement</strong>: Insights from the report drive improvements for clinical readiness.  </li>\n</ul>\n<h3>Impact</h3>\n<p>The SME secures stakeholder confidence, accelerates discussions with clinical partners, and positions its AI solution as a trusted tool for rare disease risk prediction, paving the way for market adoption and broader collaborations.  </p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": 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The medical device Vigilance System is designed to collect information on post-market incidents or adverse events related to medical devices and, where appropriate, distribute or disseminate such information to prevent adverse events from recurring. This indicates that medical device manufacturers must have a dedicated system in place for the management of vigilance activities.\r\nIt is the manufacturers or, if applicable, the European Authorized Representatives\u2019 obligation to notify the Competent Authority in case of any incident with their devices. In the regulatory unit, we help manufacturers to implement medical device Vigilance Systems in compliance with all legal and regulatory requirements and also support incident reporting as well as incident investigation and further actions implementation.", "description_html": "<p>Vigilance means to be watchful of the possible danger or difficulties. The medical device Vigilance System is designed to collect information on post-market incidents or adverse events related to medical devices and, where appropriate, distribute or disseminate such information to prevent adverse events from recurring. This indicates that medical device manufacturers must have a dedicated system in place for the management of vigilance activities.\nIt is the manufacturers or, if applicable, the European Authorized Representatives\u2019 obligation to notify the Competent Authority in case of any incident with their devices. In the regulatory unit, we help manufacturers to implement medical device Vigilance Systems in compliance with all legal and regulatory requirements and also support incident reporting as well as incident investigation and further actions implementation.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 20, "name": "Corrective actions and duty of information", "code": "art_20", "number": "Art. 20"}, {"id": 72, "name": "Post-market monitoring by providers and post-market monitoring plan for high-risk AI systems", "code": "art_72", "number": "Art. 72"}, {"id": 73, "name": "Reporting of serious incidents", "code": "art_73", "number": "Art. 73"}], "mdr_classes": [], "trl_levels": [{"id": 17, "name": "Pre-serial manufacturing", "number": 8}, {"id": 18, "name": "Product on market", "number": 9}], "medical_domains": [], "ontology_categories": [{"id": 58, "name": "Post-Market Surveillance"}, {"id": 18, "name": "Post-Market & Lifecycle Management"}, {"id": 59, "name": "Vigilance & Incident Reporting"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.regulatory_roadmap"]}, {"id": 392, "name": "Regulatory Consulting: Support in the UDI (Unique Device Identification) assignation process", "unique_identifier": "d57a42dc-4ef3-49b6-993d-75889482e255", "description": "IPN provides services related to the Unique Device Identification (UDI) system, which ensures proper traceability of the devices throughout the distribution chain and by the user.\r\nIPN assists in the registration of organizations within an accredited UDI issuing agency, in the creation and correct use of UDI codes (UDI-DI, UDI-PI and basic UDI), ensuring that UDI data is formatted correctly for submission to EUDAMED and/or Global Unique Device Identification Database (GUDID \u2013 FDA). IPN also provides support in the maintenance of data related to the UDI.", "description_html": "<p>IPN provides services related to the Unique Device Identification (UDI) system, which ensures proper traceability of the devices throughout the distribution chain and by the user.\nIPN assists in the registration of organizations within an accredited UDI issuing agency, in the creation and correct use of UDI codes (UDI-DI, UDI-PI and basic UDI), ensuring that UDI data is formatted correctly for submission to EUDAMED and/or Global Unique Device Identification Database (GUDID \u2013 FDA). IPN also provides support in the maintenance of data related to the UDI.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 54, "name": "CE Marking & Notified Body Support"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.regulatory_roadmap", "tier2.ce_marking"]}, {"id": 393, "name": "Regulatory Consulting: Support in QMS implementation ", "unique_identifier": "f00449b9-9bde-4c2a-8c62-1df330b2e5fc", "description": "The MDR and IVDR states in Article 10 (9), the requirements for the Manufacturer\u2019s QMS. Despite not being specified, ISO 13485 is the most suitable quality management systems standard for medical devices companies. In the US, manufacturers must comply with the FDA\u2019s Quality System Regulation (21 CFR Part 820), which outlines similar requirements for design, production, and process controls.\r\nThe IPN helps medical device and IVD companies implement their QMS in compliance with the applicable regulatory framework. So, in order to meet the requirements and also operators\u2019 specific needs, IPN team work closely with each section or department representatives.", "description_html": "<p>The MDR and IVDR states in Article 10 (9), the requirements for the Manufacturer\u2019s QMS. Despite not being specified, ISO 13485 is the most suitable quality management systems standard for medical devices companies. In the US, manufacturers must comply with the FDA\u2019s Quality System Regulation (21 CFR Part 820), which outlines similar requirements for design, production, and process controls.\nThe IPN helps medical device and IVD companies implement their QMS in compliance with the applicable regulatory framework. So, in order to meet the requirements and also operators\u2019 specific needs, IPN team work closely with each section or department representatives.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 6, "name": "Regulatory, Compliance & Market Access", "code": "regulatory", "number": 6}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 17, "name": "Quality management system", "code": "art_17", "number": "Art. 17"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 53, "name": "Quality Management System"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 3, "service_standard_legacy": "", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 341, "name": "C-Quality Management", "domain": "Quality"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.regulatory_roadmap", "tier2.ce_marking"]}, {"id": 394, "name": "Regulatory Consulting: Internal Audits of the QMS", "unique_identifier": "e19505ba-883c-4170-b53a-68a4f5ba5f37", "description": "The IPN team conducts thorough audits of Quality Management Systems (QMS) to ensure compliance with key regulatory requirements, including ISO 13485, FDA\u2019s 21 CFR Part 820, and the European MDR and IVDR regulations. Independent auditors perform on-site or remote assessments to evaluate the effectiveness and conformity of the QMS, supporting both initial certification audits and ongoing surveillance or recertification audits.\r\n", "description_html": "<p>The IPN team conducts thorough audits of Quality Management Systems (QMS) to ensure compliance with key regulatory requirements, including ISO 13485, FDA\u2019s 21 CFR Part 820, and the European MDR and IVDR regulations. Independent auditors perform on-site or remote assessments to evaluate the effectiveness and conformity of the QMS, supporting both initial certification audits and ongoing surveillance or recertification audits.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 17, "name": "Quality management system", "code": "art_17", "number": "Art. 17"}], "mdr_classes": [], "trl_levels": [{"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}, {"id": 18, "name": "Product on market", "number": 9}], "medical_domains": [], "ontology_categories": [{"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 53, "name": "Quality Management System"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [{"id": 27, "name": "ISO 13485", "code": false}, {"id": 5, "name": "MDR EU 2017/745", "code": false}], "certification_ids": [], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 341, "name": "C-Quality Management", "domain": "Quality"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.regulatory_roadmap", "tier2.ce_marking"]}, {"id": 395, "name": "Regulatory Consulting: Support in submitting the process for certification by a Notified Body", "unique_identifier": "08b4d7fb-bcf6-4019-a7fe-139ce2a220ed", "description": "IPN team is able to bridge the gap between companies and the Notified Bodies. More specifically, the team supports the management of communication with the Notified Bodies during the certification submission process. This support includes guidance and support for the Notified Body selection according to the applicable product codes, assistance in requesting quotes, filling in the form, Gap analysis of the TD prior to submission and support in responses to Notified Bodies\u2019 requests for additional information about submissions.", "description_html": "<p>IPN team is able to bridge the gap between companies and the Notified Bodies. More specifically, the team supports the management of communication with the Notified Bodies during the certification submission process. This support includes guidance and support for the Notified Body selection according to the applicable product codes, assistance in requesting quotes, filling in the form, Gap analysis of the TD prior to submission and support in responses to Notified Bodies\u2019 requests for additional information about submissions.</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [], "trl_levels": [{"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 52, "name": "Regulatory Roadmap & Gap Analysis"}, {"id": 54, "name": "CE Marking & Notified Body Support"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 341, "name": "C-Quality Management", "domain": "Quality"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.regulatory_roadmap", "tier2.ce_marking"]}, {"id": 396, "name": "Regulatory Consulting: Person Responsible for Regulatory Compliance", "unique_identifier": "000845b3-a8db-4207-b6db-7e1e2ee68da9", "description": "According to Article 15 of the MDR, the manufacturer of medical devices is required to have, within its organization (or an external person for small companies), a person who is responsible for regulatory compliance and with the explicit responsibility to ensure that all 'Manufacturer's Obligations' are met (Article 10). Our team includes competent and experienced people to play the role of Person Responsible for Regulatory Compliance, ensuring:\n\n - The verification of the conformity of medical devices according to the QMS (Article 10(9), MDR);\n - Maintenance and updating of technical documentation (Article 10(4) and (6), MDR);\n - Compliance with market surveillance obligations (Article 10(10), MDR);\n - Fulfilling incident reporting obligations (Article 10(13), MDR).", "description_html": "<p>According to Article 15 of the MDR, the manufacturer of medical devices is required to have, within its organization (or an external person for small companies), a person who is responsible for regulatory compliance and with the explicit responsibility to ensure that all 'Manufacturer's Obligations' are met (Article 10). Our team includes competent and experienced people to play the role of Person Responsible for Regulatory Compliance, ensuring:</p>\n<ul>\n<li>The verification of the conformity of medical devices according to the QMS (Article 10(9), MDR);</li>\n<li>Maintenance and updating of technical documentation (Article 10(4) and (6), MDR);</li>\n<li>Compliance with market surveillance obligations (Article 10(10), MDR);</li>\n<li>Fulfilling incident reporting obligations (Article 10(13), MDR).</li>\n</ul>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 16, "name": "Obligations of providers of high-risk AI systems", "code": "art_16", "number": "Art. 16"}, {"id": 17, "name": "Quality management system", "code": "art_17", "number": "Art. 17"}, {"id": 18, "name": "Documentation keeping", "code": "art_18", "number": "Art. 18"}, {"id": 72, "name": "Post-market monitoring by providers and post-market monitoring plan for high-risk AI systems", "code": "art_72", "number": "Art. 72"}], "mdr_classes": [], "trl_levels": [{"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}, {"id": 18, "name": "Product on market", "number": 9}], "medical_domains": [], "ontology_categories": [{"id": 58, "name": "Post-Market Surveillance"}, {"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 18, "name": "Post-Market & Lifecycle Management"}, {"id": 53, "name": "Quality Management System"}, {"id": 59, "name": "Vigilance & Incident Reporting"}, {"id": 54, "name": "CE Marking & Notified Body Support"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2, 7], "service_origin": "internal", "service_provider_country": "Portugal", "service_provider_country_flag": "\ud83c\uddf5\ud83c\uddf9", "service_provider_country_code": "PT", "billing": "per hour", "full_price": "85-150 EUR", "reduced_price": "0-120 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "CE Marking (MDR, IVDR)", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}, {"id": 341, "name": "C-Quality Management", "domain": "Quality"}, {"id": 344, "name": "C-Conformity & Compliance (certification, audit, corrective and preventive action, documentation, gap & risk analysis, etc.)", "domain": "Conformity"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.regulatory_roadmap", "tier2.ce_marking"]}, {"id": 397, "name": "Regulatory Consulting: Elaboration or revision of PMSR and PSUR reports", "unique_identifier": "cac66073-ae9e-4138-aafb-3fe3bdf556b7", "description": "The placing of a medical device or an IVDon the market is preceded by an evaluation of the residual risks related to quality, safety and performance. However, this evaluation shall continue throughout the entire lifecycle of the device, including the post-market period.\r\nPost-market surveillance allows manufacturers to collect and analyze experiences of the actual use of medical devices. Based on the outcome of this analysis, further actions such as incident reporting to competent authorities, field safety corrective actions or safety warnings to users may be required.\r\nPost-market surveillance activities are planned in the Post-market Surveillance Plan and the data is compiled in the Post-marketing Surveillance Report - PMSR (for class I medical devices) or the Periodic Safety Update Report (for class IIa, IIb and III medical devices or class C or D IVDs).\r\nOur unit assists in the elaboration of the PMS Plan with the definition of actions and also the elaboration of PMSR or PSUR", "description_html": "<p>The placing of a medical device or an IVDon the market is preceded by an evaluation of the residual risks related to quality, safety and performance. However, this evaluation shall continue throughout the entire lifecycle of the device, including the post-market period.\nPost-market surveillance allows manufacturers to collect and analyze experiences of the actual use of medical devices. Based on the outcome of this analysis, further actions such as incident reporting to competent authorities, field safety corrective actions or safety warnings to users may be required.\nPost-market surveillance activities are planned in the Post-market Surveillance Plan and the data is compiled in the Post-marketing Surveillance Report - PMSR (for class I medical devices) or the Periodic Safety Update Report (for class IIa, IIb and III medical devices or class C or D IVDs).\nOur unit assists in the elaboration of the PMS Plan with the definition of actions and also the elaboration of PMSR or PSUR</p>", "service_provider": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_id": 511, "service_provider_logo": "", "service_provider_institution": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)", "service_provider_institution_id": 511, "service_provider_hierarchy": [{"id": 511, "name": "Instituto Pedro Nunes Associacao Para A Inovacao E Desenvolvimento Em Ciencia E Tecnologia (IPN)"}], "logos": [], "service_category": "consulting", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 72, "name": "Post-market monitoring by providers and post-market monitoring plan for high-risk AI systems", "code": "art_72", "number": "Art. 72"}], "mdr_classes": [{"id": 1, "name": "Class I", "code": "I"}, {"id": 5, "name": "Class IIa", "code": "IIa"}, {"id": 6, "name": "Class IIb", "code": "IIb"}, {"id": 7, "name": "Class III", "code": "III"}], "trl_levels": [{"id": 17, "name": "Pre-serial manufacturing", "number": 8}, {"id": 18, "name": "Product on market", "number": 9}], "medical_domains": [], "ontology_categories": [{"id": 58, "name": 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Pipelines", "unique_identifier": "8f86e87e-54df-4b3c-92f5-25ce57e7502b", "description": "## Overview\r\n\r\nThis service supports the development and validation of biomedical signal processing pipelines for healthcare applications. SMAILE at Karolinska Institutet provides guidance for processing a range of biosignals, including ECG, EEG, EMG, respiration, accelerometers, gyroscope, and electrical bioimpedance. The focus is on signal filtering, feature extraction, event detection, and pipeline validation, aligned with clinical research standards.\r\n\r\n### We provide expertise in:\r\n\u2022\tBiomedical signal filtering and preprocessing\r\n\u2022\tFeature extraction and clinical event annotation\r\n\u2022\tSignal Analysis and Modeling\r\n\u2022\tQuality assurance and reproducibility\r\n\r\n### How can the service help you?\r\n\r\nMany early-stage companies and research projects lack robust, validated signal pipelines. This service enables reproducible analysis, clinical readiness, and regulatory alignment for biosignal-driven products and studies.\r\n\r\n### How will the service be delivered?\r\n\r\nCan be delivered virtually or in conjunction with lab access. Clients share sample datasets, objectives, and processing goals. Duration: 2\u20136 weeks based on complexity.\r\n\r\n## Additional Information\r\n\r\n### Provider Description\r\n\r\nSMAILE provides advanced support in biomedical signal analytics, with experience in wearable health monitoring, digital phenotyping, and clinical-grade biosignal systems.\r\n\r\n### Technical Description\r\n\r\nPipelines are constructed and validated using Python (SciPy, MNE, NeuroKit), MATLAB, or other signal tools. \r\n\r\n### Service Customization\r\n\r\nClients may request focused support for real-time processing, offline batch analysis, or integration with AI modules. Output formats, sampling rates, and noise tolerance are adjustable.\r\n", "description_html": "<h2>Overview</h2>\n<p>This service supports the development and validation of biomedical signal processing pipelines for healthcare applications. SMAILE at Karolinska Institutet provides guidance for processing a range of biosignals, including ECG, EEG, EMG, respiration, accelerometers, gyroscope, and electrical bioimpedance. The focus is on signal filtering, feature extraction, event detection, and pipeline validation, aligned with clinical research standards.</p>\n<h3>We provide expertise in:</h3>\n<p>\u2022   Biomedical signal filtering and preprocessing\n\u2022   Feature extraction and clinical event annotation\n\u2022   Signal Analysis and Modeling\n\u2022   Quality assurance and reproducibility</p>\n<h3>How can the service help you?</h3>\n<p>Many early-stage companies and research projects lack robust, validated signal pipelines. This service enables reproducible analysis, clinical readiness, and regulatory alignment for biosignal-driven products and studies.</p>\n<h3>How will the service be delivered?</h3>\n<p>Can be delivered virtually or in conjunction with lab access. Clients share sample datasets, objectives, and processing goals. Duration: 2\u20136 weeks based on complexity.</p>\n<h2>Additional Information</h2>\n<h3>Provider Description</h3>\n<p>SMAILE provides advanced support in biomedical signal analytics, with experience in wearable health monitoring, digital phenotyping, and clinical-grade biosignal systems.</p>\n<h3>Technical Description</h3>\n<p>Pipelines are constructed and validated using Python (SciPy, MNE, NeuroKit), MATLAB, or other signal tools. </p>\n<h3>Service Customization</h3>\n<p>Clients may request focused support for real-time processing, offline batch analysis, or integration with AI modules. Output formats, sampling rates, and noise tolerance are adjustable.</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [{"id": 7, "name": "Cardiology", "code": "CARD"}, {"id": 10, "name": "Neurology", "code": "NEUR"}], "ontology_categories": [{"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 35, "name": "Data Curation & Preprocessing"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "115", "reduced_price": "0-110", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 338, "name": "V-Data Processing (curation, preprocessing & standardization, mining, visualization, anonymization, FAIR, etc.)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.verification_validation_testing"]}, {"id": 417, "name": "Bias Checkpoint: Fairness & Equity Analysis of AI Systems", "unique_identifier": "decec8d5-f33f-4797-bc95-8c36c8545a04", "description": "## Overview\r\nThis service focuses on assessing the fairness and equity of AI models used in healthcare. Through demographic performance breakdowns, explainable AI (XAI) tools, and bias detection methods, SMAILE at Karolinska Institutet supports the ethical development of AI tools. The service identifies potential bias in models and helps adjust training datasets or algorithms to promote fairness across age, gender, ethnicity, and other protected attributes.\r\n\r\nWe provide expertise and support in:\r\n\u2022\tBias and fairness audits for clinical AI\r\n\u2022\tPerformance disaggregation across demographic groups\r\n\u2022\tExplainable AI and equity-by-design principles\r\n\r\n### How can the service help you?\r\n\r\nMany developers are unaware of hidden biases in training data or model outputs. This service reveals fairness issues early and provides actionable diagnostics with tailored mitigation strategies. It helps build stakeholder trust and prepares for future ethical or regulatory scrutiny.\r\n\r\n### How will the service be delivered?\r\n\r\nPrimarily delivered virtually. Clients provide access to anonymized datasets and models. SMAILE experts run audits using stratified metrics and XAI tools. Turnaround time: 2\u20133 weeks.\r\n\r\n## Additional Information\r\n\r\n### Provider Description\r\n\r\nSMAILE specializes in responsible AI and ethical technology development. We support equity-focused model design and provide tools and strategies to mitigate risks of algorithmic harm in clinical settings.\r\n\r\n### Technical Description\r\nBias analysis is conducted using group-specific performance metrics (e.g., sensitivity, specificity, precision), fairness indicators (e.g., demographic parity, equal opportunity), and XAI tools such as SHAP, LIME, and counterfactual testing. The service aligns with fairness frameworks, including IEEE P7003 and the EU AI Act.\r\n\r\n### Service Customization\r\nClients can specify target subgroups for analysis. Optional components include bias mitigation training, fairness KPI monitoring, and strategy workshops.\r\n", "description_html": "<h2>Overview</h2>\n<p>This service focuses on assessing the fairness and equity of AI models used in healthcare. Through demographic performance breakdowns, explainable AI (XAI) tools, and bias detection methods, SMAILE at Karolinska Institutet supports the ethical development of AI tools. The service identifies potential bias in models and helps adjust training datasets or algorithms to promote fairness across age, gender, ethnicity, and other protected attributes.</p>\n<p>We provide expertise and support in:\n\u2022   Bias and fairness audits for clinical AI\n\u2022   Performance disaggregation across demographic groups\n\u2022   Explainable AI and equity-by-design principles</p>\n<h3>How can the service help you?</h3>\n<p>Many developers are unaware of hidden biases in training data or model outputs. This service reveals fairness issues early and provides actionable diagnostics with tailored mitigation strategies. It helps build stakeholder trust and prepares for future ethical or regulatory scrutiny.</p>\n<h3>How will the service be delivered?</h3>\n<p>Primarily delivered virtually. Clients provide access to anonymized datasets and models. SMAILE experts run audits using stratified metrics and XAI tools. Turnaround time: 2\u20133 weeks.</p>\n<h2>Additional Information</h2>\n<h3>Provider Description</h3>\n<p>SMAILE specializes in responsible AI and ethical technology development. We support equity-focused model design and provide tools and strategies to mitigate risks of algorithmic harm in clinical settings.</p>\n<h3>Technical Description</h3>\n<p>Bias analysis is conducted using group-specific performance metrics (e.g., sensitivity, specificity, precision), fairness indicators (e.g., demographic parity, equal opportunity), and XAI tools such as SHAP, LIME, and counterfactual testing. The service aligns with fairness frameworks, including IEEE P7003 and the EU AI Act.</p>\n<h3>Service Customization</h3>\n<p>Clients can specify target subgroups for analysis. Optional components include bias mitigation training, fairness KPI monitoring, and strategy workshops.</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 41, "name": "Explainability & Fairness Testing"}, {"id": 3, "name": "Software & AI"}, {"id": 55, "name": "Ethics & Legal Affairs"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}, {"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "115", "reduced_price": "0-110", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}, {"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 418, "name": "Tech Validation Hub: Assessment of Custom Biomedical Devices and Hardware", "unique_identifier": "99b192e6-22ac-46d6-9add-ad8c932f9bc7", "description": "## Overview\r\n\r\nThis service provides a structured technical assessment of biomedical hardware, custom sensors, and instrumentation prototypes for health applications. Conducted by SMAILE at Karolinska Institutet, the evaluation focuses on device design, integration, signal fidelity, power consumption, and suitability for clinical or field use. From wearable biosensors to lab instruments, our team helps ensure your innovations meet scientific, technical, and regulatory expectations.\r\n\r\nWe provide expertise and support in:\r\n\u2022\tBiomedical device prototyping and test bench validation\r\n\u2022\tSignal stability, hardware reliability, and functional safety\r\n\u2022\tPre-compliance testing and integration readiness\r\n\r\n### How can the service help you?\r\n\r\nInnovators often struggle to identify design flaws or performance issues in early prototypes. This service accelerates development by identifying bottlenecks, verifying functionality, and preparing devices for clinical or usability trials.\r\n\r\n### How will the service be delivered?\r\n\r\nHybrid model: virtual consultations, remote analysis of schematics and performance data, and physical testing at SMAILE\u2019s facilities. Duration: 2\u20136 weeks, depending on complexity.\r\n\r\n## Additional Information\r\n\r\n### Provider Description\r\n\r\nSMAILE at Karolinska Institutet supports digital health and medtech innovation through technical validation services, regulatory support, and usability testing for medical technologies.\r\n\r\n### Technical Description\r\n\r\nAssessments cover sensor calibration, signal noise analysis, data synchronization, power management, interface protocols, and durability under simulated use conditions. Testing follows ISO and IEC standards for electronic health devices, and supports both standalone and integrated system evaluations.\r\n\r\n### Service Customization\r\n\r\nClients may focus the service on device subcomponents (e.g., battery life, enclosure design), specific functions (e.g., HR monitoring), or integration with software/data systems.", "description_html": "<h2>Overview</h2>\n<p>This service provides a structured technical assessment of biomedical hardware, custom sensors, and instrumentation prototypes for health applications. Conducted by SMAILE at Karolinska Institutet, the evaluation focuses on device design, integration, signal fidelity, power consumption, and suitability for clinical or field use. From wearable biosensors to lab instruments, our team helps ensure your innovations meet scientific, technical, and regulatory expectations.</p>\n<p>We provide expertise and support in:\n\u2022   Biomedical device prototyping and test bench validation\n\u2022   Signal stability, hardware reliability, and functional safety\n\u2022   Pre-compliance testing and integration readiness</p>\n<h3>How can the service help you?</h3>\n<p>Innovators often struggle to identify design flaws or performance issues in early prototypes. This service accelerates development by identifying bottlenecks, verifying functionality, and preparing devices for clinical or usability trials.</p>\n<h3>How will the service be delivered?</h3>\n<p>Hybrid model: virtual consultations, remote analysis of schematics and performance data, and physical testing at SMAILE\u2019s facilities. Duration: 2\u20136 weeks, depending on complexity.</p>\n<h2>Additional Information</h2>\n<h3>Provider Description</h3>\n<p>SMAILE at Karolinska Institutet supports digital health and medtech innovation through technical validation services, regulatory support, and usability testing for medical technologies.</p>\n<h3>Technical Description</h3>\n<p>Assessments cover sensor calibration, signal noise analysis, data synchronization, power management, interface protocols, and durability under simulated use conditions. Testing follows ISO and IEC standards for electronic health devices, and supports both standalone and integrated system evaluations.</p>\n<h3>Service Customization</h3>\n<p>Clients may focus the service on device subcomponents (e.g., battery life, enclosure design), specific functions (e.g., HR monitoring), or integration with software/data systems.</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "", "categories": [{"id": 1, "name": "Physical", "code": "physical"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 15, "name": "Hardware Design & Manufacturing"}, {"id": 47, "name": "Hardware Design & Prototyping"}, {"id": 48, "name": "Systems Integration Testing"}, {"id": 49, "name": "EMC & Safety Pre-Testing"}, {"id": 4, "name": "Hardware & Robotics"}], "ontology_domains": [{"code": "hardware_robotics", "name": "Hardware & Robotics"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "115", "reduced_price": "0-110", "popularity": 2, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 347, "name": "P-Hardware (Design, Development, Manufacturing, etc.)", "domain": "Hardware"}, {"id": 349, "name": "P-Testing Pre-Clinical (Neurology, Cardiology, wearables, motion, psychophysical, GLP, animal safety, toxicity, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.testing_facilities", "tier2.verification_validation_testing"]}, {"id": 419, "name": "MDR Navigation Desk: Regulatory Guidance for AI and Medical Devices", "unique_identifier": "9af308c7-0092-4c80-bb51-585ae65a0002", "description": "## Overview\r\n\r\nThis service provides expert regulatory support for startups, SMEs, and research projects working on AI-based and digital medical technologies. Provided by SMAILE at Karolinska Institutet, the service helps navigate the complex requirements of the EU Medical Device Regulation (MDR), especially for software as a medical device (SaMD), wearable devices, and AI-powered diagnostics. Guidance includes risk classification, conformity assessments, documentation gap analysis, and strategy development.\r\n\r\nWe provide expertise and support in:\r\n\u2022\tEU MDR readiness and gap analysis\r\n\u2022\tRegulatory strategy for AI-based and digital devices\r\n\u2022\tDocumentation review for CE-marking\r\n\r\n### How can the service help you?\r\n\r\nWhether you\u2019re preparing for a clinical trial or a CE submission, this service helps reduce regulatory risk and accelerates your go-to-market process. It is particularly valuable for early-stage developers unfamiliar with MDR Annexes, UDI, and performance evaluations.\r\n\r\n### How will the service be delivered?\r\n\r\nDelivered virtually, with review sessions and feedback meetings. For complex projects, hybrid support is available, including hands-on workshops at the Karolinska Institute. Timeline varies: from a 1-week consultation to a 6-week full regulatory mapping.\r\n\r\n## Additional Information \r\n\r\n### Provider Description\r\n\r\nSMAILE supports startups and innovators through regulatory guidance for digital health and AI technologies. The team includes experts in MDR, AI Act, clinical evaluation reports (CER), and technical documentation for medical devices.\r\n\r\n### Technical Description\r\n\r\nThe service includes mapping your product against MDR Annex VIII, evaluating classification and intended use, and reviewing QMS and risk management documentation. \r\n\r\n### Service Customization\r\n\r\nCustom modules include technical documentation audits, clinical evaluation design support, and guidance for combination products or health apps.", "description_html": "<h2>Overview</h2>\n<p>This service provides expert regulatory support for startups, SMEs, and research projects working on AI-based and digital medical technologies. Provided by SMAILE at Karolinska Institutet, the service helps navigate the complex requirements of the EU Medical Device Regulation (MDR), especially for software as a medical device (SaMD), wearable devices, and AI-powered diagnostics. Guidance includes risk classification, conformity assessments, documentation gap analysis, and strategy development.</p>\n<p>We provide expertise and support in:\n\u2022   EU MDR readiness and gap analysis\n\u2022   Regulatory strategy for AI-based and digital devices\n\u2022   Documentation review for CE-marking</p>\n<h3>How can the service help you?</h3>\n<p>Whether you\u2019re preparing for a clinical trial or a CE submission, this service helps reduce regulatory risk and accelerates your go-to-market process. It is particularly valuable for early-stage developers unfamiliar with MDR Annexes, UDI, and performance evaluations.</p>\n<h3>How will the service be delivered?</h3>\n<p>Delivered virtually, with review sessions and feedback meetings. For complex projects, hybrid support is available, including hands-on workshops at the Karolinska Institute. Timeline varies: from a 1-week consultation to a 6-week full regulatory mapping.</p>\n<h2>Additional Information</h2>\n<h3>Provider Description</h3>\n<p>SMAILE supports startups and innovators through regulatory guidance for digital health and AI technologies. The team includes experts in MDR, AI Act, clinical evaluation reports (CER), and technical documentation for medical devices.</p>\n<h3>Technical Description</h3>\n<p>The service includes mapping your product against MDR Annex VIII, evaluating classification and intended use, and reviewing QMS and risk management documentation. </p>\n<h3>Service Customization</h3>\n<p>Custom modules include technical documentation audits, clinical evaluation design support, and guidance for combination products or health apps.</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 16, "name": "Obligations of providers of high-risk AI systems", "code": "art_16", "number": "Art. 16"}, {"id": 43, "name": "Conformity assessment", "code": "art_43", "number": "Art. 43"}], "mdr_classes": [{"id": 5, "name": "Class IIa", "code": "IIa"}, {"id": 6, "name": "Class IIb", "code": "IIb"}], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}, {"id": 17, "name": "Pre-serial manufacturing", "number": 8}], "medical_domains": [], "ontology_categories": [{"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 52, "name": "Regulatory Roadmap & Gap Analysis"}, {"id": 54, "name": "CE Marking & Notified Body Support"}, {"id": 56, "name": "Conformity Assessment (Software)"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "115", "reduced_price": "0-110", "popularity": 5, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 340, "name": "C-Ethics & Regulatory Affairs", "domain": "Ethics"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.regulatory_roadmap", "tier2.ce_marking"]}, {"id": 420, "name": "Clinical LLM Validation, Optimization & Prompt Engineering Services", "unique_identifier": "392393eb-f405-4fc3-a0de-c7ead1baf57e", "description": "Comprehensive validation and optimization of Large Language Model implementations in clinical environments through rigorous testing methodologies, prompt engineering, and output verification with healthcare professionals.\r\nOur service includes:\r\nLLM Output Validation: Consulting advice on systematic evaluation of LLM responses against clinical guidelines, medical literature, and expert validation to detect hallucinations, factual errors, and inappropriate recommendations. Collaboration with medical staff to assess clinical relevance, safety, and appropriateness of generated content.\r\nPrompt Engineering Optimization: Development and refinement of clinical prompts using few-shot learning, chain-of-thought reasoning, and structured output formats. Testing prompt variations against real clinical scenarios to maximize accuracy, consistency, and safety.\r\nRAG Implementation & Validation: Design and validation of Retrieval-Augmented Generation systems using verified medical knowledge bases, clinical guidelines, and institutional protocols. Ensuring retrieved context is relevant, current, and properly integrated into LLM responses.\r\nClinical Finetuning Strategy: Assessment and guidance on finetuning approaches for clinical use cases, including dataset curation, domain adaptation, and continuous learning strategies. Evaluation of finetuned models against baseline performance and clinical benchmarks.\r\nBias Detection & Mitigation: Identification of demographic, diagnostic, or treatment biases in LLM outputs across diverse patient populations and clinical scenarios.\r\nKeywords: Large Language Models; Clinical NLP; Prompt Engineering; Output Validation; Hallucination Detection; RAG Systems; LLM Finetuning; Medical Knowledge Bases; Clinical Guidelines Compliance; Bias Mitigation; Healthcare AI Safety; Human-in-the-Loop Validation; Trustworthy Clinical AI", "description_html": "<p>Comprehensive validation and optimization of Large Language Model implementations in clinical environments through rigorous testing methodologies, prompt engineering, and output verification with healthcare professionals.\nOur service includes:\nLLM Output Validation: Consulting advice on systematic evaluation of LLM responses against clinical guidelines, medical literature, and expert validation to detect hallucinations, factual errors, and inappropriate recommendations. Collaboration with medical staff to assess clinical relevance, safety, and appropriateness of generated content.\nPrompt Engineering Optimization: Development and refinement of clinical prompts using few-shot learning, chain-of-thought reasoning, and structured output formats. Testing prompt variations against real clinical scenarios to maximize accuracy, consistency, and safety.\nRAG Implementation &amp; Validation: Design and validation of Retrieval-Augmented Generation systems using verified medical knowledge bases, clinical guidelines, and institutional protocols. Ensuring retrieved context is relevant, current, and properly integrated into LLM responses.\nClinical Finetuning Strategy: Assessment and guidance on finetuning approaches for clinical use cases, including dataset curation, domain adaptation, and continuous learning strategies. Evaluation of finetuned models against baseline performance and clinical benchmarks.\nBias Detection &amp; Mitigation: Identification of demographic, diagnostic, or treatment biases in LLM outputs across diverse patient populations and clinical scenarios.\nKeywords: Large Language Models; Clinical NLP; Prompt Engineering; Output Validation; Hallucination Detection; RAG Systems; LLM Finetuning; Medical Knowledge Bases; Clinical Guidelines Compliance; Bias Mitigation; Healthcare AI Safety; Human-in-the-Loop Validation; Trustworthy Clinical AI</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 13, "name": "Transparency and provision of information to deployers", "code": "art_13", "number": "Art. 13"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 41, "name": "Explainability & Fairness Testing"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "115", "reduced_price": "110", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 337, "name": "C-Training & Education", "domain": "Training"}, {"id": 339, "name": "C-Data (FAIRness, preprocessing, standardization, best practices, etc.)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 421, "name": "AI Imaging Lab: Development & Validation of Segmentation and Detection Models", "unique_identifier": "7a471619-a2ae-4e08-89d4-74d3adbcf173", "description": "## Overview  \r\n\r\nThis service supports SMEs and researchers in developing, training, and validating AI models for medical imaging applications. Hosted at SMAILE, Karolinska Institutet, it covers segmentation, detection, and classification tasks using CT, MRI, nuclear images, multimodal images, ultrasound, histology, and microscopic images. The pipeline includes data curation, evaluation of labeling strategy, model selection and training, evaluation metric selection, and model performance benchmarking.\r\n\r\nWe provide expertise and support in:\r\n\r\n- AI model training and optimization for medical imaging\r\n- Validation using clinical datasets and standard metrics (using publicly available datasets, datasets available through data agreements, and internal datasets at KI, depending on the case)\r\n- Clinical Relevance and Comparison with the state of the art in research and clinical practice \r\n- Imaging biomarkers studies for diagnosis, prognosis, and prediction applications\r\n\r\n### How can the service help you?  \r\n\r\nThe service ensures your imaging AI model performs reliably and is aligned with clinical expectations. Whether you\u2019re entering the pre-clinical testing phase or seeking validation to secure investment or regulatory approval, this service equips you with a rigorous evaluation and feedback report.\r\n\r\n### How the service will be delivered?  \r\n\r\nAvailable both virtually and physically. Imaging data can be reviewed remotely through a secure data transfer process. On-site collaboration is also possible for sensitive datasets or model development, evaluation, and validation. A typical project takes 4\u20136 weeks.\r\n\r\n---\r\n\r\n## Additional information  \r\n\r\n### Provider description  \r\n\r\nSMAILE is the digital health core facility at Karolinska Institute. It offers interdisciplinary support in AI for medical imaging, data analytics, and system validation, partnering with leading institutions under the Swedish TEF-Health node.\r\n\r\n### Technical description  \r\n\r\nThe imaging model pipeline is extensively validated by using a curated benchmark set and standard evaluation frameworks such as well-established quantification metrics for object detection, image segmentation, and classification tasks.. Annotation quality is reviewed, and model performance is benchmarked against open or reference models. Standard medical image processing tools such as PyDicom, ANTs, and ITK, as well as community-driven open-sourced frameworks such as MONAI, are the core components of our designed pipelines.\r\n\r\n### Service customization  \r\n\r\nThe service can focus on either model development, evaluation, or both. Datasets can be anonymized and securely shared, or analysis can be conducted in a local sandboxed environment.", "description_html": "<h2>Overview</h2>\n<p>This service supports SMEs and researchers in developing, training, and validating AI models for medical imaging applications. Hosted at SMAILE, Karolinska Institutet, it covers segmentation, detection, and classification tasks using CT, MRI, nuclear images, multimodal images, ultrasound, histology, and microscopic images. The pipeline includes data curation, evaluation of labeling strategy, model selection and training, evaluation metric selection, and model performance benchmarking.</p>\n<p>We provide expertise and support in:</p>\n<ul>\n<li>AI model training and optimization for medical imaging</li>\n<li>Validation using clinical datasets and standard metrics (using publicly available datasets, datasets available through data agreements, and internal datasets at KI, depending on the case)</li>\n<li>Clinical Relevance and Comparison with the state of the art in research and clinical practice </li>\n<li>Imaging biomarkers studies for diagnosis, prognosis, and prediction applications</li>\n</ul>\n<h3>How can the service help you?</h3>\n<p>The service ensures your imaging AI model performs reliably and is aligned with clinical expectations. Whether you\u2019re entering the pre-clinical testing phase or seeking validation to secure investment or regulatory approval, this service equips you with a rigorous evaluation and feedback report.</p>\n<h3>How the service will be delivered?</h3>\n<p>Available both virtually and physically. Imaging data can be reviewed remotely through a secure data transfer process. On-site collaboration is also possible for sensitive datasets or model development, evaluation, and validation. A typical project takes 4\u20136 weeks.</p>\n<hr>\n<h2>Additional information</h2>\n<h3>Provider description</h3>\n<p>SMAILE is the digital health core facility at Karolinska Institute. It offers interdisciplinary support in AI for medical imaging, data analytics, and system validation, partnering with leading institutions under the Swedish TEF-Health node.</p>\n<h3>Technical description</h3>\n<p>The imaging model pipeline is extensively validated by using a curated benchmark set and standard evaluation frameworks such as well-established quantification metrics for object detection, image segmentation, and classification tasks.. Annotation quality is reviewed, and model performance is benchmarked against open or reference models. Standard medical image processing tools such as PyDicom, ANTs, and ITK, as well as community-driven open-sourced frameworks such as MONAI, are the core components of our designed pipelines.</p>\n<h3>Service customization</h3>\n<p>The service can focus on either model development, evaluation, or both. Datasets can be anonymized and securely shared, or analysis can be conducted in a local sandboxed environment.</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [{"id": 2, "name": "Pathology", "code": "PATH"}, {"id": 6, "name": "Radiology", "code": "RADI"}], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 63, "name": "Clinical Imaging & Bioanalysis"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 21, "name": "Clinical Imaging & Measurement"}, {"id": 3, "name": "Software & AI"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "115", "reduced_price": "0-110", "popularity": 2, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.imaging_facilities", "tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 422, "name": "Fit-for-Purpose Tech Check: Evaluating Wearables and Digital Health Systems", "unique_identifier": "b9e36de6-6207-4c77-a18d-15af21b47643", "description": "## Overview  \r\n\r\nThis service provides technical and functional evaluation of wearable systems and digital health technologies. Offered by SMAILE at Karolinska Institutet, it examines the end-to-end setup from sensor design to data acquisition, transfer, and analysis pipelines. The service assesses the feasibility, usability, and data integrity of hardware and digital platforms used in healthcare or clinical studies.\r\n\r\nWe provide expertise and support in:\r\n\r\n- Wearable sensor system testing and integration\r\n- Digital tool usability, interoperability, and data pipeline analysis\r\n\r\n### How can the service help you?  \r\n\r\nStartups and SMEs aiming to develop or validate wearable solutions benefit from an independent review of their device\u2019s performance. Whether you are preparing for pilot deployment, grant applications, or a regulatory pathway, this evaluation ensures robustness, data quality, and readiness for field conditions.\r\n\r\n### How the service will be delivered?  \r\n\r\nA combination of remote review (schematics, firmware, data structure) and physical testing in SMAILE labs, if required. Duration: 2\u20138 weeks.\r\n\r\n---\r\n\r\n## Additional information  \r\n\r\n### Provider description  \r\n\r\nSMAILE supports testing and evaluation of emerging digital health technologies, including hardware, apps, and wearables, under the TEF-Health Swedish node.\r\n\r\n### Technical description  \r\n\r\nDevices are tested for signal integrity, battery performance, sensor drift, data latency, interoperability with mobile/desktop systems, and noise artifacts. The service includes protocol reviews, test bench setup, and real-world simulation. SMAILE\u2019s ergonomic lab facilities support use-case testing.\r\n\r\n### Service customization  \r\n\r\nEvaluations can be tailored to full systems or individual components such as firmware, communication protocols, or mounting design. Usability testing and patient feedback services can be added.", "description_html": "<h2>Overview</h2>\n<p>This service provides technical and functional evaluation of wearable systems and digital health technologies. Offered by SMAILE at Karolinska Institutet, it examines the end-to-end setup from sensor design to data acquisition, transfer, and analysis pipelines. The service assesses the feasibility, usability, and data integrity of hardware and digital platforms used in healthcare or clinical studies.</p>\n<p>We provide expertise and support in:</p>\n<ul>\n<li>Wearable sensor system testing and integration</li>\n<li>Digital tool usability, interoperability, and data pipeline analysis</li>\n</ul>\n<h3>How can the service help you?</h3>\n<p>Startups and SMEs aiming to develop or validate wearable solutions benefit from an independent review of their device\u2019s performance. Whether you are preparing for pilot deployment, grant applications, or a regulatory pathway, this evaluation ensures robustness, data quality, and readiness for field conditions.</p>\n<h3>How the service will be delivered?</h3>\n<p>A combination of remote review (schematics, firmware, data structure) and physical testing in SMAILE labs, if required. Duration: 2\u20138 weeks.</p>\n<hr>\n<h2>Additional information</h2>\n<h3>Provider description</h3>\n<p>SMAILE supports testing and evaluation of emerging digital health technologies, including hardware, apps, and wearables, under the TEF-Health Swedish node.</p>\n<h3>Technical description</h3>\n<p>Devices are tested for signal integrity, battery performance, sensor drift, data latency, interoperability with mobile/desktop systems, and noise artifacts. The service includes protocol reviews, test bench setup, and real-world simulation. SMAILE\u2019s ergonomic lab facilities support use-case testing.</p>\n<h3>Service customization</h3>\n<p>Evaluations can be tailored to full systems or individual components such as firmware, communication protocols, or mounting design. Usability testing and patient feedback services can be added.</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 15, "name": "Hardware Design & Manufacturing"}, {"id": 47, "name": "Hardware Design & Prototyping"}, {"id": 2, "name": "Data"}, {"id": 12, "name": "Data Processing & Governance"}, {"id": 48, "name": "Systems Integration Testing"}, {"id": 37, "name": "Data Quality Assessment"}, {"id": 4, "name": "Hardware & Robotics"}], "ontology_domains": [{"code": "data", "name": "Data"}, {"code": "hardware_robotics", "name": "Hardware & Robotics"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "115", "reduced_price": "0-110", "popularity": 1, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 338, "name": "V-Data Processing (curation, preprocessing & standardization, mining, visualization, anonymization, FAIR, etc.)", "domain": "Data"}, {"id": 350, "name": "P-Hardware Design, Development & Manufacturing", "domain": "Hardware"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.testing_facilities", "tier2.verification_validation_testing"]}, {"id": 423, "name": "AI Readiness Review: Evaluating Your Pipeline and Documentation", "unique_identifier": "b1a940a0-c0b2-4210-b061-65965f261236", "description": "## Overview  \r\n\r\nThis service provides a structured evaluation of AI development pipelines and technical documentation, tailored for SMEs and researchers in healthtech. Leveraging clinical and regulatory expertise at SMAILE, Karolinska Institutet, the assessment covers traceability, software versioning, model lifecycle management, and documentation practices. The process ensures that development pipelines meet regulatory expectations, reproducibility requirements, and are aligned with future audit or MDR/AI Act evaluations.\r\n\r\nWe provide expertise and support in:\r\n\r\n- AI documentation & pipeline evaluation\r\n- MDR readiness & traceability compliance\r\n\r\n### How can the service help you?  \r\n\r\nThis service addresses the lack of clear documentation and reproducible workflows in early-stage AI development. It gives you a clear roadmap for improvement and regulatory preparedness. Whether you're pursuing CE marking or preparing for due diligence from investors, this service boosts your confidence and credibility.\r\n\r\n### How the service will be delivered?  \r\n\r\nDelivered virtually by SMAILE experts at Karolinska Institutet. Includes documentation review and remote interviews. Typically executed over 1\u20133 weeks.\r\n\r\n---\r\n\r\n## Additional information  \r\n\r\n### Provider description  \r\n\r\nThe SMAILE core facility at Karolinska Institutet offers expert consulting and virtual testing for AI system validation, regulatory preparation, biomedical signal analysis, and data-driven life science solutions. SMAILE collaborates across KI, SciLifeLab, and RISE under the Swedish TEF-Health node.\r\n\r\n### Technical description  \r\n\r\nThe service includes a structured audit of AI development stages using a checklist of regulatory, technical, and reproducibility indicators. The pipeline\u2019s documentation is reviewed, highlighting gaps and providing targeted improvement suggestions.\r\n\r\n### Service customization  \r\n\r\nThe scope can be tailored to specific pipeline stages (e.g., pre-processing, model training, evaluation). Clients may combine this service with model benchmarking or regulatory consultation.", "description_html": "<h2>Overview</h2>\n<p>This service provides a structured evaluation of AI development pipelines and technical documentation, tailored for SMEs and researchers in healthtech. Leveraging clinical and regulatory expertise at SMAILE, Karolinska Institutet, the assessment covers traceability, software versioning, model lifecycle management, and documentation practices. The process ensures that development pipelines meet regulatory expectations, reproducibility requirements, and are aligned with future audit or MDR/AI Act evaluations.</p>\n<p>We provide expertise and support in:</p>\n<ul>\n<li>AI documentation &amp; pipeline evaluation</li>\n<li>MDR readiness &amp; traceability compliance</li>\n</ul>\n<h3>How can the service help you?</h3>\n<p>This service addresses the lack of clear documentation and reproducible workflows in early-stage AI development. It gives you a clear roadmap for improvement and regulatory preparedness. Whether you're pursuing CE marking or preparing for due diligence from investors, this service boosts your confidence and credibility.</p>\n<h3>How the service will be delivered?</h3>\n<p>Delivered virtually by SMAILE experts at Karolinska Institutet. Includes documentation review and remote interviews. Typically executed over 1\u20133 weeks.</p>\n<hr>\n<h2>Additional information</h2>\n<h3>Provider description</h3>\n<p>The SMAILE core facility at Karolinska Institutet offers expert consulting and virtual testing for AI system validation, regulatory preparation, biomedical signal analysis, and data-driven life science solutions. SMAILE collaborates across KI, SciLifeLab, and RISE under the Swedish TEF-Health node.</p>\n<h3>Technical description</h3>\n<p>The service includes a structured audit of AI development stages using a checklist of regulatory, technical, and reproducibility indicators. The pipeline\u2019s documentation is reviewed, highlighting gaps and providing targeted improvement suggestions.</p>\n<h3>Service customization</h3>\n<p>The scope can be tailored to specific pipeline stages (e.g., pre-processing, model training, evaluation). Clients may combine this service with model benchmarking or regulatory consultation.</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "", "categories": [{"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}, {"id": 8, "name": "Real-World Performance Evaluation", "code": "rwpe", "number": 8}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 17, "name": "Quality management system", "code": "art_17", "number": "Art. 17"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 52, "name": "Regulatory Roadmap & Gap Analysis"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 53, "name": "Quality Management System"}, {"id": 3, "name": "Software & AI"}, {"id": 5, "name": "Regulatory & Certification"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}, {"code": "regulatory_certification", "name": "Regulatory & Certification"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "per hour", "full_price": "115", "reduced_price": "0-110", "popularity": 5, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.regulatory_roadmap", "tier2.verification_validation_testing"]}, {"id": 424, "name": "Support for simple use case including secure processing environment use (without access and/or linkage to French National Healthcare Data System)", "unique_identifier": "2f166158-46a9-410a-bf4e-13b45f77f2b6", "description": "This services include the following : \r\nProject launch : assistance in framing the project, particularly in identifying and implementing regulatory procedures ; establishment of contacts with relevant stakeholders ; support in collaborating with bodies in charge of health data, particularly with regards to contracting and meeting technical prerequisites for using such data ;\r\nSupport towards institutional actors, particularly when several data sources are involved and need to be combined or synchronized ;\r\nData handling : support for data custodians in extracting, structuring, qualifying, documenting, standardizing and/or transferring data involved as part of the project ;\r\nSupport to research implementation : provision of technological capabilities (dedicated project spaces with computing resources for 3 years, state of the art data management, analysis and visualization tools, alongside user onboarding and ongoing technical support), expert support (medical, legal, data scientist, engineer, etc.), training and networking ;\r\nResults and project valorization : communication events, networking within the ecosystem, etc.\r\nCatalogue database fee : manages the fees related to accessing and utilizing electronic health data for secondary use. 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The coverage is partial and depends on the chosen database, including standard access fees to database holders, potential compensation for a portion of the data collection costs, and a specific fee covering human and technical resources expended in enriching the electronic health data.</p>", "service_provider": "Health Data Hub (Plateforme des Donn\u00e9es de Sant\u00e9)", "service_provider_id": 1071, "service_provider_logo": 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Following the testing, we will provide you a summative evaluation encompassing the following assessments and feedback for: \r\nUsability: user experience (UX) and overall satisfaction while using your solution\r\nPerformance: speed, efficiency and accuracy for the different operations generated \r\nRelevancy and limitations: highlight which fields benefit most of the use of your software and the potential application areas lacking information or irrelevant for your solution. \r\nThis service allows you to highlight the strength and weakness of the current state of your product and thus to provide you the opportunity to address them according to the direct feedback from your end-users, and to improve your product before a broader public launch.  \r\n\r\nHow the service will be delivered?\r\n\r\nStep 1: Assessment of your product, functionality and purpose \r\nStep 2: Identification of the scope of your end-users  \r\nStep 3: Participants recruitment (from healthcare professionals and/or research community, according to the need) \r\nStep 4: Design of the protocol to conduct usability test \r\nStep 5: Data collection and summative evaluation report \r\n\r\nProvider description\r\n\r\nThe Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.\r\n", "description_html": "<p>Overview</p>\n<p>Usability Testing of Digital Systems is a tailored service that recruits representative end users to test your product in real world conditions and delivers a comprehensive usability report with actionable insights on user experience, performance, and relevance to help you refine and improve your product before wider launch. \nOur beta testers are carefully selected to encompass a broad and diverse range of fields representative of your software solution end-users. Your product will be tested in real-world conditions to provide you with a panel of key parameters essential to either fine-tune, improve or adjust various features of your solution. Following the testing, we will provide you a summative evaluation encompassing the following assessments and feedback for: \nUsability: user experience (UX) and overall satisfaction while using your solution\nPerformance: speed, efficiency and accuracy for the different operations generated \nRelevancy and limitations: highlight which fields benefit most of the use of your software and the potential application areas lacking information or irrelevant for your solution. \nThis service allows you to highlight the strength and weakness of the current state of your product and thus to provide you the opportunity to address them according to the direct feedback from your end-users, and to improve your product before a broader public launch.  </p>\n<p>How the service will be delivered?</p>\n<p>Step 1: Assessment of your product, functionality and purpose \nStep 2: Identification of the scope of your end-users<br>\nStep 3: Participants recruitment (from healthcare professionals and/or research community, according to the need) \nStep 4: Design of the protocol to conduct usability test \nStep 5: Data collection and summative evaluation report </p>\n<p>Provider description</p>\n<p>The Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.</p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": 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{"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise"]}, {"id": 445, "name": "Data Feasibility Study ", "unique_identifier": "ee4cdcf7-7771-4ff7-9384-2d61a364c346", "description": "Overview  \r\nThe Data Feasibility Service provides an early, structured assessment of whether the health data required for AI validation can realistically be accessed and used within the Swedish healthcare and research data ecosystem. The service focuses on feasibility and risk reduction rather than data delivery. Karolinska Institutet experts assess whether relevant data sources exist, where they are located, and whether the data\u2019s structure, quality, and technical characteristics are suitable for running and validating the proposed AI solution. Legal, ethical, and practical constraints are reviewed at a high level. The outcome is a concise, actionable feasibility assessment supporting informed decisions on whether to proceed with AI validation and potential next\u2011step data acquisition services.  \r\n\r\nHow can the service help you?  \r\nBefore the service, organisations often face uncertainty around data availability, technical suitability, timelines, and regulatory barriers. After the service, they gain a realistic understanding of whether the required data can support their AI model in practice, including whether the data format, volume, and quality are compatible with the intended validation approach. This enables clearer go/no\u2011go decisions, improved validation planning, and early alignment with clinical relevance and regulatory expectations, reducing the risk of costly delays or infeasible projects.  \r\n\r\nHow the service will be delivered? \r\nThe service is delivered through a structured review led by Karolinska Institutet in dialogue with the requesting organisation. Experts analyse the proposed use case, data needs, and AI requirements against known Swedish data infrastructures and governance frameworks. The work is primarily desk\u2011based and typically completed within a few weeks, depending on scope. No transfer or processing of health data is required as part of this service. \r\n\r\nProvider description \r\nThe Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science. \r\n\r\nTechnical description  \r\nFeasibility is assessed by mapping potential data sources and reviewing governance, access pathways, and constraints. The assessment includes data structure, format, completeness, and quality, as well as technical feasibility aspects such as whether the data can support the intended AI model, validation design, and computational requirements. Legal and ethical considerations, including GDPR, Swedish legislation, and the need for ethics approval, are considered at a high level. The service informs but does not replace formal ethics or data access applications. \r\n\r\nService customization \r\nThe service can be tailored to different clinical domains, data types (e.g. imaging, registries, EHRs), and maturity levels of organisations. The depth of analysis depends on the clarity of the use case and data requirements. The service is limited to feasibility assessment and does not guarantee data access or approval by data owners. \r\n\r\nUse case/ example \r\nAn SME developing an AI\u2011based clinical decision support tool requests access to retrospective imaging and outcome data. The service assesses data availability, governance constraints, and whether the data\u2019s structure and volume are technically suitable for running and validating the AI model. The results indicate feasible data sources but significant lead times, guiding the SME to refine its validation strategy before proceeding with full data acquisition. \r\n\r\n ", "description_html": "<p>Overview<br>\nThe Data Feasibility Service provides an early, structured assessment of whether the health data required for AI validation can realistically be accessed and used within the Swedish healthcare and research data ecosystem. The service focuses on feasibility and risk reduction rather than data delivery. Karolinska Institutet experts assess whether relevant data sources exist, where they are located, and whether the data\u2019s structure, quality, and technical characteristics are suitable for running and validating the proposed AI solution. Legal, ethical, and practical constraints are reviewed at a high level. The outcome is a concise, actionable feasibility assessment supporting informed decisions on whether to proceed with AI validation and potential next\u2011step data acquisition services.  </p>\n<p>How can the service help you?<br>\nBefore the service, organisations often face uncertainty around data availability, technical suitability, timelines, and regulatory barriers. After the service, they gain a realistic understanding of whether the required data can support their AI model in practice, including whether the data format, volume, and quality are compatible with the intended validation approach. This enables clearer go/no\u2011go decisions, improved validation planning, and early alignment with clinical relevance and regulatory expectations, reducing the risk of costly delays or infeasible projects.  </p>\n<p>How the service will be delivered? \nThe service is delivered through a structured review led by Karolinska Institutet in dialogue with the requesting organisation. Experts analyse the proposed use case, data needs, and AI requirements against known Swedish data infrastructures and governance frameworks. The work is primarily desk\u2011based and typically completed within a few weeks, depending on scope. No transfer or processing of health data is required as part of this service. </p>\n<p>Provider description \nThe Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science. </p>\n<p>Technical description<br>\nFeasibility is assessed by mapping potential data sources and reviewing governance, access pathways, and constraints. The assessment includes data structure, format, completeness, and quality, as well as technical feasibility aspects such as whether the data can support the intended AI model, validation design, and computational requirements. Legal and ethical considerations, including GDPR, Swedish legislation, and the need for ethics approval, are considered at a high level. The service informs but does not replace formal ethics or data access applications. </p>\n<p>Service customization \nThe service can be tailored to different clinical domains, data types (e.g. imaging, registries, EHRs), and maturity levels of organisations. The depth of analysis depends on the clarity of the use case and data requirements. The service is limited to feasibility assessment and does not guarantee data access or approval by data owners. </p>\n<p>Use case/ example \nAn SME developing an AI\u2011based clinical decision support tool requests access to retrospective imaging and outcome data. The service assesses data availability, governance constraints, and whether the data\u2019s structure and volume are technically suitable for running and validating the AI model. The results indicate feasible data sources but significant lead times, guiding the SME to refine its validation strategy before proceeding with full data acquisition. </p>", "service_provider": "Karolinska Institutet (KI)", "service_provider_id": 523, "service_provider_logo": "", "service_provider_institution": "Karolinska Institutet (KI)", "service_provider_institution_id": 523, "service_provider_hierarchy": [{"id": 523, "name": "Karolinska Institutet (KI)"}], "logos": [], "service_category": "", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}, {"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 1, "name": "Need", "code": "need", "number": 1}, {"id": 2, "name": "Data, Data Enablement & Governance", "code": "data", "number": 2}, {"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [{"id": 11, "name": "Analytical study", "number": 2}, {"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}], "medical_domains": [], "ontology_categories": [{"id": 7, "name": "TEF Matchmaking & Intake"}, {"id": 1, "name": "Consulting"}, {"id": 11, "name": "Data Provisioning & Generation"}, {"id": 32, "name": "Data Provisioning (Real-World)"}, {"id": 22, "name": "Initial Needs Assessment"}, {"id": 2, "name": "Data"}, {"id": 24, "name": "TRL Assessment & Gap Analysis"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}, {"code": "data", "name": "Data"}], "checklist_items": [], "approved_call_ids": [2], "service_origin": "internal", "service_provider_country": "Sweden", "service_provider_country_flag": "\ud83c\uddf8\ud83c\uddea", "service_provider_country_code": "SE", "billing": "Per hour", "full_price": "115 EUR", "reduced_price": "0-110 EUR", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 342, "name": "C-Business (market readiness, monitoring, feasibility, etc.)", "domain": "Business"}, {"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}, {"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs"]}, {"id": 446, "name": "Charit\u00e9 VRE Secure Processing Environment", "unique_identifier": "1385a8b5-1384-49d1-8de7-dac5fa263c26", "description": "## Overview\r\n\r\nThe Charit\u00e9 Virtual Research Environment (VRE) provides a Secure Processing Environment (SPE) and Trusted Research Environment (TRE) for collaborative processing, exchange, and analysis of human health data in the context of GDPR, AI Act compliance, MDR evidence generation, and Post-Market Clinical Follow-Up (PMCF).\r\n\r\nThe service enables controlled collaborative processing of sensitive health data within isolated and audit-capable project environments aligned with GDPR and institutional information security requirements. The VRE supports isolated project workspaces on shared multi-tenant infrastructure with secure remote access, managed analysis environments, and traceable processing workflows.\r\n\r\n### VRE services include:\r\n\r\n- Secure isolated project workspaces\r\n- Secure data exchange between Charit\u00e9 and external partners\r\n- Trusted Research Environment / Secure Processing Environment and secure collaboration workflows for sensitive health data like imaging, genetic, or clinical data\r\n- Remote Desktop virtual machines\r\n- Managed Jupyter and Linux analysis environments\r\n- GPU-enabled compute resources\r\n- Long-term storage, backup, and recovery mechanisms\r\n- Audit logging and traceability support\r\n- Monitoring and operational oversight\r\n- Guacamole/VPN-based remote access\r\n- Support for automated pseudonymisation and anonymisation workflows\r\n- SOPs, onboarding, and user support\r\n- Project coordination and operational support\r\n- GDPR, MDR, and AI Act support processes\r\n- Collaborative data analysis and digital evidence generation\r\n\r\n---\r\n\r\n## How can the VRE help you?\r\n\r\nThe VRE enables secure and GDPR-compliant collaborative research with sensitive human health data that cannot be fully anonymized, including imaging, genomics, clinical, and other highly sensitive biomedical datasets. The platform provides controlled and traceable access to protected data within isolated project environments designed for secure collaborative processing and analysis.\r\n\r\nThe VRE supports interdisciplinary collaboration between research institutions, healthcare providers, and industrial partners while reducing the need for uncontrolled data transfers and decentralized data handling. Managed analysis environments, secure remote access mechanisms, audit logging, and controlled collaboration workflows support reproducible and secure data processing in compliance-sensitive research settings.\r\n\r\nThe VRE can additionally support translational and regulatory-oriented activities such as AI system evaluation, PMCF activities, secure secondary use of health data, federated collaborations, and evidence generation for MDR and AI Act related processes.\r\n\r\n---\r\n\r\n## How is the VRE accessed?\r\n\r\nThe VRE is primarily accessed through secure remote access mechanisms. Dedicated isolated project spaces are provisioned on Charit\u00e9-operated infrastructure. Depending on project scope, the service may range from lightweight onboarding and workspace provisioning to fully managed collaborative environments with operational and compliance support.\r\n\r\nTypical project durations range from several weeks to multiple years.\r\n\r\n---\r\n\r\n## Provider Description\r\n\r\nCharit\u00e9 operates advanced research and digital infrastructure environments for secure biomedical and clinical data processing in research and translational medicine contexts. The VRE supports interdisciplinary collaboration between clinical, scientific, and industrial stakeholders in compliance-sensitive environments.\r\n\r\n---\r\n\r\n## Technical Description\r\n\r\nThe platform is based on shared multi-tenant infrastructure with isolated project environments. Available resources include virtual machines, GPU-enabled compute nodes, storage systems, managed analysis environments, backup systems, authentication and authorization services, and monitoring capabilities.\r\n\r\nThe environment supports secure remote access, auditability, traceability, and controlled data exchange workflows for sensitive health data processing.\r\n\r\n---\r\n\r\n## Service Customization\r\n\r\nThe service can be customized depending on project requirements, including:\r\n\r\n- Dedicated or shared compute environments\r\n- GPU-enabled processing\r\n- Long-term storage requirements\r\n- Custom virtual machine sizing\r\n- Federated collaboration scenarios\r\n- Compliance and documentation support\r\n- Enhanced operational support models\r\n- Extended onboarding and training\r\n- Integration with external infrastructures and workflows\r\n\r\n", "description_html": "<h2>Overview</h2>\n<p>The Charit\u00e9 Virtual Research Environment (VRE) provides a Secure Processing Environment (SPE) and Trusted Research Environment (TRE) for collaborative processing, exchange, and analysis of human health data in the context of GDPR, AI Act compliance, MDR evidence generation, and Post-Market Clinical Follow-Up (PMCF).</p>\n<p>The service enables controlled collaborative processing of sensitive health data within isolated and audit-capable project environments aligned with GDPR and institutional information security requirements. The VRE supports isolated project workspaces on shared multi-tenant infrastructure with secure remote access, managed analysis environments, and traceable processing workflows.</p>\n<h3>VRE services include:</h3>\n<ul>\n<li>Secure isolated project workspaces</li>\n<li>Secure data exchange between Charit\u00e9 and external partners</li>\n<li>Trusted Research Environment / Secure Processing Environment and secure collaboration workflows for sensitive health data like imaging, genetic, or clinical data</li>\n<li>Remote Desktop virtual machines</li>\n<li>Managed Jupyter and Linux analysis environments</li>\n<li>GPU-enabled compute resources</li>\n<li>Long-term storage, backup, and recovery mechanisms</li>\n<li>Audit logging and traceability support</li>\n<li>Monitoring and operational oversight</li>\n<li>Guacamole/VPN-based remote access</li>\n<li>Support for automated pseudonymisation and anonymisation workflows</li>\n<li>SOPs, onboarding, and user support</li>\n<li>Project coordination and operational support</li>\n<li>GDPR, MDR, and AI Act support processes</li>\n<li>Collaborative data analysis and digital evidence generation</li>\n</ul>\n<hr>\n<h2>How can the VRE help you?</h2>\n<p>The VRE enables secure and GDPR-compliant collaborative research with sensitive human health data that cannot be fully anonymized, including imaging, genomics, clinical, and other highly sensitive biomedical datasets. The platform provides controlled and traceable access to protected data within isolated project environments designed for secure collaborative processing and analysis.</p>\n<p>The VRE supports interdisciplinary collaboration between research institutions, healthcare providers, and industrial partners while reducing the need for uncontrolled data transfers and decentralized data handling. Managed analysis environments, secure remote access mechanisms, audit logging, and controlled collaboration workflows support reproducible and secure data processing in compliance-sensitive research settings.</p>\n<p>The VRE can additionally support translational and regulatory-oriented activities such as AI system evaluation, PMCF activities, secure secondary use of health data, federated collaborations, and evidence generation for MDR and AI Act related processes.</p>\n<hr>\n<h2>How is the VRE accessed?</h2>\n<p>The VRE is primarily accessed through secure remote access mechanisms. Dedicated isolated project spaces are provisioned on Charit\u00e9-operated infrastructure. Depending on project scope, the service may range from lightweight onboarding and workspace provisioning to fully managed collaborative environments with operational and compliance support.</p>\n<p>Typical project durations range from several weeks to multiple years.</p>\n<hr>\n<h2>Provider Description</h2>\n<p>Charit\u00e9 operates advanced research and digital infrastructure environments for secure biomedical and clinical data processing in research and translational medicine contexts. The VRE supports interdisciplinary collaboration between clinical, scientific, and industrial stakeholders in compliance-sensitive environments.</p>\n<hr>\n<h2>Technical Description</h2>\n<p>The platform is based on shared multi-tenant infrastructure with isolated project environments. Available resources include virtual machines, GPU-enabled compute nodes, storage systems, managed analysis environments, backup systems, authentication and authorization services, and monitoring capabilities.</p>\n<p>The environment supports secure remote access, auditability, traceability, and controlled data exchange workflows for sensitive health data processing.</p>\n<hr>\n<h2>Service Customization</h2>\n<p>The service can be customized depending on project requirements, including:</p>\n<ul>\n<li>Dedicated or shared compute environments</li>\n<li>GPU-enabled processing</li>\n<li>Long-term storage requirements</li>\n<li>Custom virtual machine sizing</li>\n<li>Federated collaboration scenarios</li>\n<li>Compliance and documentation support</li>\n<li>Enhanced operational support models</li>\n<li>Extended onboarding and training</li>\n<li>Integration with external infrastructures and workflows</li>\n</ul>", "service_provider": "Virtual Research Environment / Health Data Cloud", 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AE6UcB6ANQZdBDA9Rx6AJSa+qwI4o7zqlDi6pqYJteVCUlSklfoyr6C96JQsQdanHO7c5VD2KOhwxST+wtNFO0klNy4z96V377SWuMGiDsD5iyElWBRpagSwTAw4Aft0isvJ6dulnRgBwBAA3GFMo7du8WcyAGsR8AAAx1pv0f+W89baEwB869piDmBeefVw0Kzoy5Pi0G8B4Hy5Wd6ZHQnAtMQ7b2ycxkDFL5K3EzkPwJoU5q2T7dp2Z7jW+PgGfDBdwsp1SbG6LnPJjWunOU4VAP/WAnhRArBUV8XaL6IWwPmJam+JmnRuD8C0R56/xjl/q+YDdBvMD9M0UwaAoU8EcDwCgAdssN4c2hJ5dV1+aWdInaLrBwLYrIJ56NqYvWALYQC4AcDXSQDMS+BdEcCRxGQdgJm//Fczl5XN4JmPAuB8uXs8026NblNspRSZU4x5acz/cpoVQtDGoWSjIeg6AJ/uAXB8A8Acy16WnVp4sa617obAIQAMfQ+A48EAPu8n64mUD+s8CPQGMC8SN4Msf14YwExgGrtSl4+1WDzFI+tdAJxOBODFnNe28axc8bTws4p5Orlcuz+q35PuA2BOB1jxu2KhyotiaeLhxYB1zi1zBLWa3ZzL8BsZwLKlzTvAS19bgrCcb7o6G/dOABgCgO8EMBXZTmWMGPDAceVBoBeAjVlX8okh6IJV1jUfgM9HLScBgBsBzL05RgZwNUvAeH64/CkpLWKkWQCfxgPwVmrEN5x/JYnykoO10CxoJrBUIUknCA3Iu4Yli3BSAJ85A1pr2bWSTpAsa2FJGjtQrhcADH0PgIcROPZcLqYB8FlGjb4AHmx99NIA1mSsdaRBPJOPBQA3ANgU3PyMDOCSVYub+vkATjRJygKYVuTn6oSgO4Ajt7AUGnNyHtUOaSEw23CYOuCT1gFfN6aIScBXqAMeF8A5/89ahGQbfeXiBOotL4OFrLoPDABDnw/gMZbAsefzOAmA1WW3H4BdIPDzAPxbqVKSACt3fsIecCuAw5EBzAQ+7HwAx+rTmhkAXyStmKuFHYDNhGAYgAtFPboaFpgtyk5YnAhV54RVKsIdFcBcKK3mG2e2cZMW4+wNItdp0NoUnwCAoQ8FcDwcwFLAMP7lXmSMkfe7v/URLdE/LQRdX2VzVQL75tABAGwAbAfvy8gvZSAAXmp0V3PUTQUR9xkQc42VD2DOk6pZ83UFsEln4u2IrW5HWHerMPyjrpLimMm9GMgLmqBacLKcDsA091APLGOimkNf+3xzpdPsRpU2AAwBwDWDGsfZqn3XxgIwZ41K7mZP5wXxGLh8AYBjSTKSyGP4WHPKtwHwefQtYANgajS49opsY82/12kQp2AJAB2Ar+o/cRkCYENf3nbmxe9KosqJswkXM+bD0Qcwz0xV4ZQAFkdZdtZU82dmPi/KxSCTkizFmQsAhgDgbgBeiefsBC+ExPW0rnFQ4WfwBQCercXRYGXToQHg4uMgs7EpAEyNBnMc2hRjrwLdtCOypm4nB2CqQeJ3ZwCALX8pD+BKa181Vy6sa7Ub0rnYDSmrtlP6mQLAoTY/svFuFTtE06WurR9HQ6sMABj6OAA7Ag8Z1Mp918YEcJaPGJFa5wyIOSbhVwA45jXQdbNaNdvnfzOAo2meVQPg/eoaGaNl48FWBLB0I3IA5krdrMK1jgCmWlrNhpcAyMHu6oaFBrwhLcEtgJfFdoTBhADm5k75CjzLV77ZYuH3aEq021lsW2UcAGAIAL6fcZOsKvT9Ttg6t69ZyMzrSRN8AYC1e7CmwM7nk9Vnvy+AzxNkiSvgEkqDNq2GKkbp1o/RdQ0mAJcMIHsC+MRzL+FXzqbMBJX9XAB6jikGrbXAv2s2kS3RdxIA/3h9hRdhWOkMrI1OpC55tTskADD0HQD+awwAT+HuZ95v8q5f9wXwbJSY4zsB2DJYNhcB4Lp8hcXo+QqCt8xtl+iPsfaM0gXAlPLrACwVBNUfqROANUPiJAn/+qsXG9wH7hToMRYAn/zZQVDpxDsugEkK4UvhvC6hTV+jK9jyLwQAQ18C4L+GA9iWdlxGv9gf3lc7/fY9vVhjjtlXANhB+ETbadJ04FFB6DcB8IQZ+zkPbcKgdanh9gRKP26wQHW4sQdgNrEJBgI4NgDmlgnBT9DQ2F7aN9gVcKtB3JgA5nc5qMnM93fPpTlTTWsKABj6XAD/NQKAjb3fBKsKyiwdBuDd0JjjWwHYmkRH0vYnWTwoF/odAOxq1i9T1awXStYLRulBmCnP1rYZgZQp1bW57w7gavul2k88C8C341xiKCPGegAwBADfXXxqWrxNsK82GMB0ZtnXAdi6DEvGEQBcAvBkpjGpLIEdgM8HE4VgqF7JB8Oap4iPejAOgO8A02sCmNPX0khaXUcSGAeAoS8CcDwEwK3Ve4MATN5B5C7UG8Cn7VVjjpevAbCJQtO8yPhihQBwGcDj347AFfnYZgueTythZmdM3fQ3kgXyKACO2eZ6356L8aoApvQ1U0sFAENfBeC/hlUCj2I2VX+hF2Pv1xfA2ili4JLnPQEca4/V3eExqVjvAeDrxABmatoY9KzwhTUA5kKgYBQAnzjD+9C+2/KqIehkz+lr3JpwSf3FAWDo2wDcF3Jj2C3XX2jOjWQogPNBKRnYKeI9ASzZ0LwrmADACmB/QTrFHTCbvA7Ay9VOs7440LoxOcvq08GwGQfAjMgbGd6vCuCM/e6knGoLAEMAcIfh3jUcGvdCXYeZIQDeHYYOuO8GYNekIT6J08MjOgQDwDk158fzJl0WAGx9WsWow7i66a8j4dZqtnJ3AFPjh5u/9NMBHNSKAHzbzQMAhj4awLPeADYtd4NRr9OW6Me9MSRLjIFboG8HYH8nWKuRFpOvgd8DwJtJAWydNjSnYmZ9WukbGZduAUy9GpZNGb89ALy8Y675NAAXyn6rVhx0VrQCPnFm+BkAhr4MwP0JbPquNQwl/S/0ok3Ol9GpN39kiREG3wvgaGk9sabNhX4TAJ8P2VQBeSHWbpNuIwtg9WllJzZ+mO0CuPWt6Qfg4/xVAey5UZMd5bwkv0siAAx9LYBn/Qb6trn8gOFM26cto3gggIPvBXChxyoA7JXlTgLgZL7ndkMnC+CtSU0OxafDBqA1bjQigHmu2X5tzwSwMX7mnkjHgnYr0yECAIYA4M4DfRw3Fg8MAnAy5+SM/gCOPDP87wSw6TBDGwQAMCf4hMFUAM6RxZVIPoBd+wfJ6Df78+r61OB73BfANy7teQBmx8mEmw/uVqvVpqil4y8ADH0jgOMhALamt2NepwxnQwAcn8Rp6CsB7JyhrUPhpAR+BwCfPGvmaQCccMxmuy4AWKtzs8N5E5luhaZ2oKHzTy8A337UnwRgXf8mFKEn+F6X1MXYU2TxCwBDAHD3gT4W09tRAbzQAaAPgNURmTbZsqERxzcF8K9nDO2VuwDAU92FQAhMz8natjtyPq1/MtvYS6rnpfftYkQAZwWf5VcCsDQ9osOl3L7JBgJKIn9sABj6KgB7BO470P/OPNf50QCcyACwnvVDD2e59CtM/BAAu1zojfUc/lIAc4NA6f8z3aspefvnDQFYehKKSQ3jQht7mQI54kijf1xPAN981B8P4CDQDeAF5Vqd+Zqa+YsVMAQA9xrdIufpE4w0muXv/35HlZP9AHxSX9mvBvCvyYVeHSc2xHptANucvP20AM4fFEpbMA00hbMagy4CWBbAh88HsLRBzPhlpmZQHHEWeRFohKChLwdwPAzAKQV7w5EBLOUJvQBMDcrZCRoAVj+IZKouBACwv9NJ7UMKAF6yI/dCe+652LQ08fxsALtOjIxf4W9+S0ipzcFKkYQFAcDDANzQ2XQA9RJja9ALwM6iGgCWclT2Kfx6ACdTApgIzKXr1u3ZxaClCskCWNOjs9pf5MMAHHI94YaoK/jNobtarc471corAwaAoS8FcDwQwKMGOYOLydmI+gF4nb+o19VuhOrkTwDw9roa3Bf57QFMzswTA1gMJx2AJdl5c6ZY86EIYPOLfD6AOSyQvz0SfM5fy03O3uN+f4ARBwQAjwng8UyHna9fdOoH4MjWv34zgCUZiA2xjk0Bzy8BsKlKm/LdpGgr9bZ1ALZL4KQIYF0AfwGAKSrAmWnU8DeKzKb4nLdE1IqSqx3WsKKEvhHAf40AYLaiHbHXuQB4c+Xmbj3OKB7vPR0HwLO+GgM/7Sk/rwHg2bQS68fzPgsnfkHZbyOuxqDZosMCWFywkob35eMAzNvfkhgpS//Mn6vbg6xjABgCgHuMnmseULJxAUzbRtFAAC9eA8DCgNNpfZfyP4zj8SDMdyMlN45kQhuKYQA2mLzzDnUV59zKNsnUAK44Tup2bw6zbQHAzRPWDwIwVwBrZvhJ3Ec4IO+3BwGAoa8G8F+jANi2fRkLwNpctReATxG58I6y5hsJwCelgEkCrZMty6DCjBzD8UgAnsnIJ/ORlwVwrDHKlhs0RFepu526LaP2XNBaV9OVebc/+CV1cfuWzUcBeCFT6bWtiua3MgSAIQC45Ac9DMDNe1p9xvMsf/tpAWx6u3UOuraUeTwBwLQbyBhIN+1KU0GxXxw5GMAuJ3yqJfBAAOtiMdIc2fG1yvWIYTuQFpoCE13T8xKYXFU9AF/bGiN+DoAv6oBF7mDOmDMpXjkADH05gP8aDGBacB6asjr7AVhfyllvAOuM4CUAfOIoMHPg3KiViO3pl55D7mAAiyX0ajddT4bBAJZ8pSXdovP42u12x6NkHU/8gnLG0dKzW4xlCey3ScoBnLaV7X0OgNXRnf2xY00F1J0qABgCgIsEHgJgU1ZxGQvA3IiBQ3k9ATxS4c04ACZXYCp9zDHQJu7Opo71W7sGHp4D7NrPTtSNbzCAZYNwQ+vUCXTINZekp+kBnNOEqmpcKjQzowDg9saIHwRgr0UjGbLt3PIXAIYA4PEAbNJsw5EAnOQA1ney3/loG7hXATD1JPKLH5tFPdvENsi36JsNArCWwU5nSDkYwMpf2iGcREk2YpVc64Or2CLIkR+02l6d6feUB2j2e9q69hjvDeDsFoC5BVLKAOYZ4MIsf92RShQHgKEvBfCgBd5Ye64KPd5KEwD14h297MkYSWEjAVi2v6T+sVFZIgQWBKcSh7bBzOF+WLzsel0A55jiOPFEmtQM24VuKAadw9MmL6gjtP4nv33n6wNYpw0C4OLrJGXPXN6s/RWaAGwpzm0xy7OggLebUAcMAcC9R3kKL2l9wfD3wjoKXXUTtB/vzvtx6pJHAXAsWWo3+OsgrJ3LxT3XLIQHltiOeE8mAfDS9C2YCL65Lg8AsHGQsen76odFqJzZn2L1HgC2i9cKgK3xF3lsSMrZbQCvys+fUly2m04AMPT1AO41zlPZz1hWD+bNpmqOvlugbrV3eREAU4Sg6P9TL6ZFMi8xuG8ovgjg7UZH0fD1ABxr61wJW0yl4CEAVg9VC2DZ33Z5WaeTWKc3psO9DID3FsBLNhN3j07gnDc5UDXrBWB3kA2sKKFvB3A8AMBjGl8ogF1XmT4ApiXGKCPuaACmpLBb/HUU5nUwbwdv1I9kOICvJgnmFQFcqBGdDL+PALAsga2JuVYD260Emw/38itgvRAFsNpn+K/pHz6FyPZRuAHgtBnA1+iEZgwQANwTwLF6L49i/UgiQ6HtaQiA20a4ZwBY4OdSUBp0uTgMZwmtg8/iCBYP3QOmzPDzVC0ZRgKw9ieYUFO/oGGYCXM8ADOCfXMsbg/5+ivgAoB3B6kf8l5TKjLa2UDVAAAf/YMAwNBXA7if9SN7LY3T/IABTJa6vTeldTwaZcAdDcDHe/jrS4zqD6UtxSGO0NO1ZBgNwNPyd/oXVH8yv49m0ZVaTFF2h6wNfhMCOL0bwMkdAFaXyXsBfGwGsD0IAAx9KYB7L4HtsDJK+z9uIXo4b6JZ79VelK4OI7kOjgjgRYf918D2UrV9kQfmQsfslrKfpiXDOACetF/EY17QC4FLvZ8aDUfSdlfqKQFsXEJ+T14iWM0kJaCH/qAlvLEJnnjTo9B3mWwF8Fk3kl0dcHGSmRUpTm9udbZUBnCyCB80p4Kg6QHsE/jpAM4vUbq69a55ZaODzwBwZgnMWaKDi7X3APCkL6iYP61c66NGV9DHA9h3CTmpGUhll9xbys91KR+rnzU7y13+6A5Jwk9mPtNoDUHPTSZXrO504hivWy0LwXxqtpuosem+zrHcAtgk6wHA0GcCuL+TIPvrjQBgbiG6uvYFcJyP5mx08M4ANuE5WmaY1sg9q6ILAN5xTyQAeEoA58u+XTOAyXCTYu2XJwDYcwmRLdlsUUwLLAA4X8rvfBtnL0WOnkpJETTPZRuAeRmdn2O62SmB3VGsU5at0NrXGaY6ALslcAgAQ58F4LgvgCW3hINaIwxhoWRX9gMw5Zwy7j4BwHwzMkvgQalY+Q90ZcgBwFO+oMwVyk2aNRuOtPdlmg7A5knKP2IS8/3KdM8kg4IvOR6liaI9a/p95E8JnDtbJHdqrAN2cWxDcckD5MNkehROcXAArqtfMACWCYy67oUAMAQAK/ZO42BPR7D+ADZTgc8AsOySybjZszuyAzCPgIcpevIBwH78Jmx6fGduFvQUAJucKOKdhJW5OD0XlZ77/byLnQRPxieFcU1eMZwbmLrGXQ0ADn0AW7OzbKH17noUXpJ7HiWLqmeKA7C/BA4BYAgA/jWm82MEfnXNt+sL4PGC4c8FsENwEDgCDwGwi34CwBO+oPTAJPtGAN+xDzApgF1EWBek1p+ct3gvgR+ISkx+lHKPfiC1iZGYjHSwbgEwfeOZi7K034YY5gnxDxrDjpzn+brBsdwAOJamWbYsGQCGPgnAcX8Aa1rHCADWTbRoQDrY+QMAXFxImFzoIQA2+T8A8KQApiq6M9GiqvieTLiuAD7dD2BXpKzmn4Rg6hV1oJ5RXo247n5ILJ3DSuYXYoMYfRqphfN2axsZNbYjvFIcWzpOSrX33Kd4fuyTIbB42FUXt1yYGEl8y4bDp+9uBUFvAOBfP/d4YG6iZH/QrHndE8D5DJkCrR8EYOsLuF33r0WSAfA6XnAeAG4kcKE+1pfpWnIfgCm/qbFeV2w1hNJxU/nsTy0P0/zceCl55f7L1Cz5eNwVasQNgMUlkqX5x7ZlJp3gUkQx5FM1AKYbybwEPhHDIxOF1s6b6nbOEDdLeZo8Z5XFrVYLr+1BVqbdKDKxoA8A8F/DV8BUw1dbQtBxKDfT9HVvS5DNKJYgLwXgjBNillH/lhkaHMjnJi0JuADwOAAWi0Za2RUlbSmlnucmgBmuURuAzyYJ6q7gU4mHBLJlDtUcZqxCMxVNP0ikUyDRUYC9MtrkuqYp/R89CWnxVHl3FmbRnX9hrnzZXTjIlQn+X7naeCZdS/xguH3A2MWLpK0r9XxBYOjbAWzsL662hGAQgE194aznRudmsxuv2vUFAGzD8itbrtG7VuyGCRMAPEoIWpoUMLaKcgvguwGctgA4X2cb+N2RfuF4mG5lKRnJGvbKHC14uZsiOPkOjjLz7ut148tglGqLa4ogguAiy2h6nQXjTP3UP0aqx5HyqPXSuMWUDiVzAe9M2Po2AYAhANgroh/swFzj5fekvkwvBGCTkppuhwBY+gDs9gDw1AQOxcJCoePxd2stpe4DcL7a2zQBOKQpGa0g8z+7K+3f8pCzoswp8TYuL4X9uJE1YpPeTsutif5q1NkEr0krzg/Ut798MySJ/2wprtvGJngt9N0d95qd7Ttdlefl0miZ+hZqHJraawYgMPQJALYE7jWA/rbV8HVc7GVam98TwLZg8YNC0DKOeRuLPWdJ8alxQQUAj/S48PZpRstMLtKRqKnK1IG15+8WAExt7LOw4a/y94QJvL0TwDasfJXUp3gWxyfDs4KTXVAgMLOR//Sk0KZo9E42hI9M4K22eKpORy4ahBZ2mmPofCTVPDDdYZENpJoHQV0tqc/jembKHnnZDwBDHwHgvwYAeLwmgDX93Lq6TZhNpE9aAUvvt8EANpMkAHjKl1SWa7sN18mWxHHeGxWsxrGKF43iGFn7V5Iaz9+yuafuzjLVJm+5DhG1tQOBFvIy907GKz7WlGjag5UEalkD1znR2m/ktTpT3HxpLDviK54uJ1z6n275NOoam9ozca7oftInAAy9PYD/GrAJrACmKekwgxprFtCv5pWrG+v2kN4fwIW2bQDwS7+m2oRAUpUKm6a7OzycDLGYrWnT2la+ZCdfcl/WoXmODN4jbym6rEtdlG4gB26JyUt5u3N81ZIkKSfifOZVQ+IF1UXPFdLmIDYhi1KipUMDBdSvS10SV1fAgXS5kDWw7qfzrQGAoQ8B8F8jAPgw0KDGDD49G/DNuOXPQdrKfhyAqUOFEBgAfn0C51jiDVJfOje8CeCEPBrls01olXKBPf3d+c4754WVz14KskmFrsUeE5jxmaYp/X1qMrYozJSpowadRdM5UIco9pw803JdDrK8pnSc1XnHVlwLk6tF9OWIdCUJS82pj2rARScixYYAMAQAGwCXW273A3B/28UcwJQcKY3TPg/AZyrKPMUA8OsDeCGGFWVpAlYrM7SnoRTLNqYzyHOp33JfyMc2+CBiHv3ZAZUC1x1EfemYsGf3xzu2dM6MhzQjmHO7L0HDG5Qopc9uMnI+y+ZvIv0geDphnLkq769xRZ+TB4gKZUjQJwJ41hvADL9kIIC9ji39JgHn/cBzeFUAszGgOB8BwC8OYHpoZHVYVLYwbf+C9kdukXifCBr+KhRj5vmdD7y1F1c/STtBOBwaDiLW1oLYg/49/Q9zJaarER0wazgHTr5emK80X6pHSbKFRgTMWRkilwEcKKUZ9nwEZ8QBAEOfAuD+BObwr+Q/hYMArD1L+wKYwuCfBWDNZaHU2gE9kSTdhhPlAODJ31MPTotCvyHbjv72p/Ujl6AewMGltpPgPQQun5drhlRNYw5r/9xcSekcbl9P5SjSeUHnE+Y/BXVncikdJAR/oU8C8F8DegJTCdB2edtl4PZIziWUUb91HtUi70yU73MAzOImjXpr+htCA8APelHb1PXT9/3ZKCfX8Up6nWjtB3ueCKAAfR6A+62wqAaXffYGApgs5zoHWp0ZyHHUVqEvBWA2NACAIQiCPhjAs74Avuk0fw+A0z6pRlIbGKXDzUBeFMAXLi699swPB4AhCII+GsDpajdsFJVqV23x3asl4nmffDCAJQYNAEMQBH0ggHvHoO9rdnongDtXu2qSrxgHjbg79DoADqxFCQAMQRAEAFdH0d1+ng0A8GJ+3PTxe9J+554/7McBWAyFUgAYgiDoQwHc3+twHS2H9uINyPG4T995damVnmgjpke+EoAzYxIGAEMQBH0kgHsSmAC8NQZxvS+QAXzqBeCcvzU90T4SwLP+AN7IDAUAhiB/ZEV1E/TuAM6H0etq1xOB8uQvDjSSdw+DS5eWbQoA3wfgcQcZABh6e/4at5BwNBcfCAB+JIBPa9smu/ccdHE4b6JeAKaearU90QBg3yxlswOAIag8+IjJVtZi/gnhOZkYwB6B+wN4NQTAYUItf2b9AEzfvhuyA/35AJYmqiOWaQHA0CcMrOyr7bpK4CmE3g/AMXUWbWxgeg+A/5APx7IXgGMJgB8PGQB8G8AhAAxB7vmV/lXU9GlHzVwuuCfQ+wGYF6EDAJyDQQD8O+seXJXl93HkMfzzALxip5ILAAxBHoBN32MO4eExhJ4I4LgfgGUbVgAc9Lg2yoEgH451PwBvlyltAQPArQBOeXwZOc8EAO7YtYACEPn/wzD/KgCmDszH/O3aLGkbKwOAoWcA+K9hAKZEZHp++1hhaB6EArhHI8JokjH8U1fACEGP/mqG9+qCcpfXA7Dh73b8RE4IAO7sxdGv32xOYNpkzHoBmPMQqel8TwCTDddx/hUA/h0AYOwBT/Nquo7ytUqo97xreBuCwC+kUFzmiL+RlDLinkBvCOCcwNSPKOlR6CKJiNxxrx+A1Yg6yxcYHwpgGSSGWVEKgP8gC3r0NRQtovaNOhwMiLPMtbMHgF8EwOKzzkbrYuaDewI9BcCmJdJvXwKrGVU/AM+5G3BPAJMHCA/hADDqgJ8UxGzW8cgYZg5n6vYAAL/Oj7ffbVLqNKZ2trgp0FsCeLbuC+CLJEJQN+BeAJYRPBl5CH8tAB/Pm6HNGOCENdEYLmuoJq1yGQrnCLYExqD2IgA+SqfPtb4iuCnQuwGYRlIC4arXEK8L4F3PPc6ZuGDNx3axeSUA8xDPAB5sRTk+fr4dwDSEp8tmXT0IH/g5DUMA+FUAnFDuyVbaoHKQCDcFehKA/+rfEElXovkQ332XUTfRzkMAfGDIfSqAtR/wtu8KmH5UdEOaEsDLbbNyBqdmJcwITlwcGhh+GQDPAGDo+QDu3RSYAdwrzzYgzjFholM/AOdoSYYx7qUBfDH7VOt+JzIDgCcFMA3hUbMYwczgHMLnnMF7LxKNoQ0AhgDgEoB7bQRTms8+CztbPQQSgR4CYOMw8ZlJWJQostJRYuAOPQA8DYC362ZZBudSCHMoejG2KxkEAEOfAeBZPwATCRd9AEy18Gk/AIvFU/jZAKZdxnyUiAHgl9Mloy4ip0YZCBOGhcM5gylpIVug+x0ADAHAxVLgAQCmdgxZTwDzEq8fgF3k+1MBfKBdRh4kAOBXE7XxWq5nzYpjy2FdD5NxTL4IzhYAMAAMAcAjATiHTZ9sKKnFY6OnuCeAuQZ45B21lwFwEGa8y7gGgN8SwFUiR8tUK9dhfAgAQwBwyQyrN4B71QOx06KUucaz7mg5LSdxmHgRAGurZN5lPA2xSQGApwLwfF8xMa/lbvFNsd4xyMQCgCEAeDiAYxpWeszr6SWgCHTnMleztJvEYeIlACxXRUN8KgvgvgA2RqEA8CMAzDfcBp0pAO3iSjxnXEsUep7AGBoAhgDgSlPg3gCWJXBHAFME+rrM13j9ALz6eAAfV8vodJr1BvCJWmWs9hkA/CAAx5p3xRIKu19vxg28KAptlsAAMAAMAcB/DQLwbL01W1vdAbzpkWSkS7ueDpjvA2Dt1Ni7PoybRXKvKgD4EQAW/lonrO12GxXiF7QEjmgf+HhI4EsJAEMAcGEFHPcGsLQl6gpgr8y1K4BztESpBfDIt/xFABwu5typsT+AT8QDzhUHgB+yAs6fSnKgZF2ZwTmBYwdgIfTmPEX9OgQAQ2+9Au4NYI1BZ50BLFU267grgHVpx10Qx7/lTwew8Ddkp4dTf4sy4sF2udrNFxcA+CErYFr/svdkLmFwYXppu4cdAWAAGAKARwPwlQfTPgDukWTklnYTxFZfBMCX/JOUg7XtfQq/vNzaXuk8gglGsFEA7HZDR9QTAcxJViJmcGrGeDOLmql1q1ioBnUzr/4XN/T+DPnwGD9P79+48yfqABz8PP+hgr4awHFfAJvVzKUjgCnEylU23QAcy9KO1hEfCWDqU0GtGml+MgDAJ/lh9q8LYEoIflcC1wKYU6xER2HwlavsvDDGbN3kHGdOnyZfNboXXw0fZwPMlhsU3Pp8++01/xi26HLXBKD8dfWnURcyuv+0awDceAwQGACeGsB/DQIwVVdobmc3ALOZ7qlz8pchy3GK2OprrIClUyPZZA8BsM25fVkAcwx6ND0dwFoRzzoQhI9nclotPOPqHFdjXOOAs1gkydxTsljc7mZo8blYZMWPz5MsW9xqxeThbkFHKHzc/3TQzk76cFb8ej1EeCvzrEzA8t1oPIj96uJp69/fDWA9/aTuvgPAAPDrApi2vnoCuEf9MRNfvjD4VABTo8bdql+jRtuminckO28NPATAFK1NOQadjEjgR46VNQCWX90X/YhpcZslB3CDcY2B2CKffB0Oh73TnBykFzfandiPJ+WPHw7zuXhQNxPYo39m5g+Fj8uSve3jykD+tP/1fAxzCZdWAAsBRXy2F/9u+C0d6z5YPu2D137qDgCbY7iDNH4hBABPU4jUO9eHw2odAUw+Ez2SfL2Y94cC2PWJGgTgba/kuAcBOCIAc/XaSHowgesATP1BEv+cEi513/p2ouKHdRRL6LpAav6hQ7521n3klbQyPAhAL8E9/NWPnzUdbLc7HhkmtSwqA5j4vecDFD4+Fwvrlo+HCu+DfNp8ux5jbzpB3QCwANySU3qGy+XIbaiZiNhZy37vnXV+2vn8Tid49wGY5y57e+mNXwgBwC8E4Fj8BbpuyQbZnvY4uy+AZfA+s6HQxwJYXbL7n8LvpInGYwBYY9DJYjyFj1ut1AD4JPbkvqqldsaQsmpcY1ag3CNM8qhVhAJto9QOYH5098dz4dMboahH4BYAC793/gEEoIf5bQATPc3md1GuF2MbgD3+6uUW7obchirFdcvmsM+pX7hq0/viLgBf3LUX7/sC7asA4KkBbHoS9gNwr5wo6ue2XP92/s6ZXdotPhLANJZl2iaqXyNCew69HMoeBeD8R5Ql8DhKEhu3fBqAPXdUA7Ss3FKyuQLL5y8lUDvlMDmaNkpBC4D14wSQ/y79zytLkub7YxfAHDbPj+A+/d+NNFJMFm0RbA3gEv03/qdFqUy25ou23yegIxxUQuuQYwhSVS23oUxxc9py29LCd5oQS3XNXANgO/WRL2v8QggAfqWWSLMehg/W6jgHcK8Enl7WW68OYJeFuqAuFVwiPesP4MZQ50sAWBIHmAuHceSWTc8DMLmjlmMZR7MErqnAqsR/aRFGILmW8aWLsYYUJG/3eH8sYog/Tyw6E8OTpjC0wbchaLoso+x4aNhQ5Y9fQruAzD9cPH1qiJzqInjRHAXXrZejSBbMmYSC+ChLuW1z7yc2s47ELH9rsL+vSXgrAlj80vXWu7nPVlo4c5AG1qEA8MQA/ssBuCuBjS/GvWW5ntVxLwBHS5O+80EALmTBVHYOewK4T5eqxwBYwiZLDk6OI9noTBavBuC9NBxpAbAD6FzXnyWAXjmiqiioy0GS6LEEgFfV9ef1mjLDd/tGmASB4psBWiIonYHEcy1Ag2r02PF3Webvlq/h5ipc1qD256Q5lfB3y6oDsNn9lejztbrwNl/aBmCuzPZC76meNz+fGkWSIiogCQB+wSVwfOrUdceMNlQG/MD+h+8AYE2CqeTO9gEwbQv06NP8GABz2GQrq6tRJBudlHIWvhiAd5urt5vfCGAXAt047FoUXg0Ck5otUPPgyOpV0MELX9bVLWObI8mBfN6jf1q3Cj809JEIGlehbMgZbbe6IG3bU+WA89klbuUIPnIqhDS32Np5twOwLtrptH3sX9NC9L2SiFgEMEXUjlS5fbbbv1dduJuTTpALDQA/DsDdeyPEUYe+s7rQO/QH8GqnI9HHAdgGEaMeFdIlADcYPrwGgInAax2ZRxED5nHmlh0ATJvAtwBst29Ts/gyUxMF4VaS1mRPP6jd/d3LJigDz5vapPpxRnpTKyaT+Ef4lo9vHP+3PotqmxkH5dnDclsAMPFzu9V2yE1vbpAfY7cqzKhWEr9nuS0VD8Bu33ZrHyWKuKeWoMtrtRa+BGDOljgXMsfo45Gsu7mWPkMuNAA8PYBNB9Ne3QE7AJj3bfbnzbYXgNnJIJlot+9JAHZJO/tdjX9SD4lb9kTjxggALjTPHSyGRirFcC8HYBrq2wFMGdPSHnsrvNLwpwKUuzpszWqsvKFp8J2TXjowmfC+DxODwF19DzHTHFRwl3/cayrBx+SPX3MCZvUflwdXTna7NTRMzcctQs2eaj2AKfdB17AM4Q3PXeRB4U8fClNK7Sm+kdOWiYNOPJZ24SwJoi0A5j7NOte5Cvv5OrSn5FbcbJALDQBPTOCT7SHeYz3DGaAdGMebY9tTLwDLOPuBAHbj9WD+/q4lL26ayNlAABsEjygJaeeXPH8xAJuE9lsAlt3itc5Jtqatg7CE0vGk/L2a/W8+To/smt7gfCLtPs8xZV1E5hwTGNUQ1LZGOXFhIcHe4Dv/9lgGB68FWVC3eE2F9RbAqYBsrYazdNjVuTFKcaFzuBYjycZLO5be1mUA2zIvel9k3pHa09aOzHzWWdgM4JnfRZLnPZbp1M95za579L0XABgAnkz/oDdM9h07D/uz33hrSzDuYRxlTuQvW1cAz8Rxd0KyjAfgnbjo3OlffNGy0cOxV4vGGrattetO8JIAHlvGD+a8fxUA011vXAEXKKQT0gNZn50kNE8rUE5PU4Lm/NbEce4mXHjP7AJ4s4ziGaNSVstnliznIl0Z8ykGpc9L5Rs7s69pCu53dVJ+y9ScXr3aTk6BKX+6FjLHNrom1nyGuN0b5iKTgK2/hBYKaoiDi/915q0TVr5pEQNeHoCNnjg3wpCL5p7YlxYAnyQdwWx1nyX0bbg+bc4JBAArgP/xj1PUM/OHAbwzU+vg5ujNKRv5qxOdfvtEu98BwLQWm7cT2PNrWKiHn1n/DgUw56UTjMLguwC8exUAu5BGOQs6Wpaq6NT/gqZe0elkssOlrcPxKHnNW8aysWAtIFT9Gnn9HHOjEsGv1vOwMYZNTc7XkEkRwCYBjHpv2Wg+bae7D1uGrpdNjSQ0gVktOJwd1c4tJ+OZTgx4CtEOYA2Yl2uKpI4p9NLG2TDdTC64rk08sGRLN02lnLd9D3hmV86a+7U3aV1bnvjo5nOyAIAB4EkBvN32aM/rAHy4c72luYs0Y+8H4AmXdiMCeG+cZNu0sM73B33t7XphQI1PPgpzplo2Vf0iAHwngGmPsmjEUXXCyp+4LMeXNG6QQDOlW+3FVVlqe3RhGG03rptwIRWYd4DXYktnnafUl/l4VHNFP4sqKGZkyHzYRHGJdSJODpZA9IkscGz+Y4lo+Tsj/Se0iIhKeV1bKAnC8xq+uT+IBbDZvHW5aOoMKZXQtnPRgu/uluYMOutgevJpO0fJVdU0rwhgc8/oK8S0Uw0pad4TN1uXQQDwqACmB75f9JMAzHVIdy1LvQl/3BfAk1XGjwbglfNyb4FvMrfw3dm1wuk0GwRgz517qrsEAN8HYJ5n+pYquqAqApgDuDr30lxhfni0r5CaUdD0WGZ2BctNgR9vXay5BdZGXYwTke0vkMORsohLlbzqoSELaHaV1Wxr01JJZgA0ObDnXlkM6kF0ymBsUWxfKDm5WFf35xsAlhWtQFUmIwLzuecj4p11JIv+K3uNGFs076Jv1gHrwlyumrsuJXLZKwnqT+npCgHA3gJ4qfke3QHMdjLz+wLDptlA2hHAurkpFU8vDWBJ3JBBtEW2c4yjr4YghgHY61YBAD8bwNxTo7UZA6cQn03ej/yrtj/SDgdqb8V83pTfM9M7i1Bkj65NBGyQxXosV5w0TDxqdc35zanG56OxUOanVLo6Md79BLKKHbPpZMS9DwsdKeYGlBzeTitJyRUAm8x2OZuDMYf2ws/2rFM+a+trajzBF35PxUr+VE0WtNDbGIrzWeum/KRdTSAA2AD4f7fLf/Y0ICYAm7zf+wCsM/a+AM4m63ozEoApY1OiWc38rVn7avHvoPxnHVA0XXaiuwQA3wVgzusttSOMaA148BxDdJ0ssy/eOlgU+hvTVudRKnLiGf97obrM690R2xo9n1Wa4SdUqmzd+BvQzBot1b14DYYTrg9az1yLy8Wl3g/zYuM7l4ufXHjUHeYoqqkKKgKYE1E08WppIu58RJc+4S37ZdaRcl6bNRmpaS3cAuBIXS6pwOviOhtn9Kv4Fw0AA8BTAjjn7+a//Br3AvCmVCPQMnpnZsToUXEc52vtwyKY7paPA2DKdNUNpUbZnSrKHjUZIUNKjzRGHy0305llA8DNAPabMTB6JLfY1PbJr0P7qCap1lsna+h1W6304fdFQ8wUWznvS8Ww7nVqrtEzSPoT1OZPnTcpvfjrbbnkxhU5UesymttdNx0aoditcMmxXhvb+BsAjtWnpSZpzD/rnd6T1g6PNZmhdUYcfqBaGTw/KoC3LTvXEAA80hbwP/+56dkDTwG8v88ew/Q46dzulusBuarg5QEcsX3uWdNRGiRdU41Vwnp47e/MDPGlNRYA/AgAl/oBZ4lJjRKHOZfE7xhnVriEN1GNVYbbsln7H28AcNqQpyxzgmYPDZ55ryXLutjvQIuU08hs4vKqtBOAMwfgmqqgCoBNUVFjIkNQuOj19lrvjXcngLdXnRJdfHPQUNzq/VkHAAwATwng/1kVSha773re17orH70Parc4685fqUV8cQCfmMCuIKNBzinQpD4PCz6LJYUrmwCAHwlgCQ/b8IaktacUI505AGtVqTKugCe1bSonr5v9zvOG1qBsXFxoOlEC8FJfw1oWhfUeGseV+lVLALywgNbFIK3RNYR87QzgP+w7GxkAr/atAOY3Qai3cu7TP3VnLRXSsjGe1M867gAwc77cZcm0izEF2AAwADw5gM+aytETwLv7utEEFXugThb+jXtILwRgbfbDbj7N8rxy19727zAAxxrjnLQzHwBcB+A1Ryq96hshROwBOP91/qvbmhcFsEc36fhTKRQSnw4JAhci2DUAbjJKb2IRu0ntpOb1FEdXV+X044djzRLWmyP8dCCwrPHFmYr7ttwGMG+8SupTDUEvXpcLcQbI6uPu9wG4vK3uNUz1LF4AYAB4OgD/7//552YIgDV94zaAg8A41Hf8Jm1il74BgHmpbooZGxWp26waEM3GiECT3eBG8+EuAPBjARw5AynjARW5wIb8OrxaK6XzUqaW1uBumip12SkjdvudjQAmVMzbAFzZTBUPagIfnVxSzNOqjZL3AjB7Q8ZsG1/bOK0MYFutVUdQr9GydQYIg+Deiy62I6TkuUJieQ2AVwAwADwpgGkBfKRG8L0BvOJ2cJc7VsCc9RmtuwL4Aa/CSADmFlFioNsqrwXVKACmbTpTKjphA1MAuArgX41VOi/iqBDWcL/OoZisu5jv6FCxSzGueEVq97DtqdbHI9M17HqmzbI75CP95Ac2qU/rtXdypdg1r9JlxiiU7nKXA5k+CFob+7YUAMw9EIznR93GtZpQKkH3SW3Je/0llwFMWZ2XmotOLICnnvZDADADeE9P9boXgE0q4e2Nx4u1UO8OYF0jhK8NYE1Mu0u/DruzoRDihbeOFVOVAAPAjQD2TYXN0pf9y82UjH4ds4PCXtFMVmnMKb0KnNdzkZkB3/GllNwUGxoUsqh8o8sm5FZRtjEt/zS/ovDtMgMQRxFpjHRdNd3lJtdVab1yN4DjWbPrZemsY0NQ+qu7e38WAEwuumHNx4NMAMxxtysADABPDuC9WLv1BHB6p1+MdD2Rt6enw8QbAPjRAHKu8lIxAQA/A8DryIgXv4X6ubXWs7jH19pAFgBcgqdbJ8sKuNJMSZviclWB1oBr4/pCOXH905CzSHegSyvgGoLadXIDgOsqcLUOeL/z0HongMvpYHVnzRGGqGtdRA2Aa9ftHoCXADAAPDGA/798aJCC+34ALg0MzU//woWPOqY2UW7x+TilJ817Ath0QIq2LZkrAPDUAPYIXDDf0JwAr6e997Atii4Xu/281r7UhKDX5aaExkrauD1KTwK2VczU2Cm8AeA08gCc1X47bbkKf0+tAPbMtxJjZjk3VYea83QvgJud9TgknpJpa5yv+rdd6yIAYOjlAPz//nnOASyT8aH2Szee/kyLEuLOAL73O74TwCfD3/rMFQB4cgDH2s53vfYba5tuxan0o/fyp1xnbB/AtQTODuf8jqtx8dkzRtTmYkfj9rjdGgQbL9Q2AmuqETtPeU7TZUnbA9nVVjP2unfnwvTNTCHWQVPCNUKuXYHvBLBkRt04a+6hugSAofcH8P+c/zPXfJCeAL5yrv7NATCfc585fNQx46hm/wsArlhgkXVufeYKADw5gLlzvGTXefl02ite8JsU6k1NSwEPwMdDEcDGuJT+KrapWh6AleK71X9dP0FpaHjcW1foGwCOxftRqm0aYsi8a5S/tadmAPOZqMeb9EXaSU/CjWsycjeA87/6037WcrfX5EAGAEPvDeD/8z/nw78WUnvez3pie59Hjga9CkPU3QCub8YCABuTMN5CXEzVBhgAvgnguox2TY9Wu0Pf5ILZJkbJZgNBHvAa53ApQ4pNHkQSVryqjNnUyTJYEJxZAtf+ksZuYi0TuHlW++072yhTLTdr3x3iLzuQnI3RDEucVuNZNwAnl+bAOf3pSUMOTRMCABh6JwDvDn/zsBL1AbB0MssHhuw2gLW+rjOAXa0xAFyTAM0mS4ckDCd04ACAmwFcYfCva8Dg9k5qLTYcgMXFO6mKi4WJTJVKAPaakrocU/gUS8x7IwtqR+B6lG2WsdmlFg+16pdLhHstWcfbegCrZddB+lqrx5uazUSWv3cCmEqLOB87aHj+jhsD4AgAhj4AwP8mAPPitEdBqnlKd4e2CsFigXsPADd4vn4xgPW3MsPnfr6YtAAYAL4Vgvbrun8LAK7unej2rba98xKoDlWpFWXNddqWSeeNc1Jem13nM3flSpp2gi2AxWWO3R9rRN0aTBZVCcB+pnZCnQulvYjP36W3AL4XwNe2livFaUO62gPA0EcA+G/KtVTzvPEHwKLHag8Ap6VeLQCwX38kFVoA8NMArEnQ7GxWCEG3AHgu0d2Tl6m12tVIra6aABxwnpTp6yGZ2FtKu+bDcSR6UbcOdgC2BK7/9tRmURUB7OibceNgL/Scpstr2jMEfT+Aoy0ADH0KgMUUQN6VbgMgP6ab1X0A3vQDMC/xJjU5fjcAmxJTL3/nEgDAzwGw8eHY2s7ONwHsdbU1BJYuHlWxd3rNdbquwYw/NuESm9Mtnw0zWELRxoK6HsCUiLW1Vl7lb7f8/S0A2H57YmLPaemTTOTUEXhcAN8x6gDA0PsAmN+BtecicDcITq0eOYVgGXv69AIwuaYDwCUAUyLo9UH5zwBwM4DFScPvLnkbwIm0+pWWSSftyFCrrbR1sK0BygiU/dfdWU9AfCPJclwoLPVNlXfHA/DM6yFS9+2mq0QNgPk6DP25BYmHX15AX5fdsqDvBPAJAIY+DcAb9dHrCgLiQHs6hDQlVUuBzr7HWpy/aCjO/1oA2+3fxOY/A8CPB7D6F5Mn1WZZ8JlpA7AxqTi5vXzPTsuTif9aP/RSEFhLgPJl6FlPwDT6WEsHBUfgRgDL19d/u9dUog7AchkS/7ar+NVK4t896oABYOg7AWzqDboDOH9SmwoU3PUYT5+4e9uB5q4nXw1gdhjW9KvH4BcAbuoHvNkdhIBXCRjfAWDKb7puo3h2p6jGaFlGTikNivsgchzcULOmjWEBZb+zu1ULYMkkk4m76UlB+D3L9jN3P+vkhHU3gKOoEA8AgKF3B7BUzcfdATw7iSlcIwJkkMj27OnTPdQaLVdTt/l5EwC74TCWok9JP38IfAHgBgDHXA8zF2PmVBsB15Uh3QZw3CjXtLC23RGXNdFeLE8BIrdujaOSSVoLgON2FeJcdgEshtKneKZmXXb1e+Bb0tWKssMKeIkVMPQ5AOZ3pUerQAPgw6KZA35n0+7AiaXeYFqTiXcA8MyvPaItN7/G9AcAfhaAOR1Xd2KJwGabpeCeUaRfMQRtIsAtPaQ5ultnx2rj0JndCk6XrimimQMcSgQuhaDZR+uGaLaXlWxADlSlbCLe/EDm8M3puxc3THYJmQLASMKCPg7AsmHTB8DxdnPet4BAAZzTLYp74f3c0PfzqwDsgpFrYzrIjZgB4GcDmJ5+3Yg1VUPScNI7uRKA/SQs4+ScbpolC8saNzg58B81g5SMZC3HzZemsWfGVXhQSklYXAd1Q5V+ErpxFensQdxEqJaZXCkT30jrFKMMCQKAWwCcmBh0HwBTZ8590rxJq5kix65uW7o6qGkX/sUAPq19v8Fs8cAINABcB2CJ/+galKjqAKycOJbCFMUyJMZfYx2w6EjLygOb0VzqACwNhheJ82NecQHTSS2itdlSLYAtpG9IGybq5y/6vuSXaywwpeaJ4Jtk0o5pbvqfxVMYcVwBYOhDABz+zUtg2sHqBWDdpb00OcjxHtWuD4BPazVdB4Bd78FUG8/RMHcBgJ8P4Ln2T+ABPrIAlhKByvyxbMRhftDDvE2EtardqN87mCGcSUcik4Es3lhkFltIYywacWyvdAdvya/El9flQK0a1rE106QncmGbOlzCTJopdegHfCeAZ7CihD4KwFLOv+kK4F8L4LY8ZfO2broD2LxoDOCfrwbwrzXf2KzOR+1e19Z0HQB+DIClBoB78rHbm2ZWuf0ZDg+VAOysKKWM+KgdG9pV81MHvlwnJWfjfKJOgqbdURXAp7Z2hNWvd4t4mkOQT2Ys7bi04+LlcnGnw9tOYwN4a1yvAWDogwBMS2DewOoxDNpK3T+NANa3tavPFk3PO+/1fB6Avexn05sxC8OHDwwAcC2AGQQCwMwVu5tipOrsNH+7/WYMmip9u53JvYMHgzhhwGsRrncOPoC7tTUICk+CaUasVyDtQl2RsqCMs6QlC2u8FfDJhhYYjgEADL0/gP+e05Q87Q/gw7zRq8rtea07O033KTf4NAB7yc9+f9kLAPxqAA6qnq41L4f2A7bdkEyWVDDW6CEGWceVhU1EKcy+HYdrR1iIMQX3PwmSyG2mEKu6dmUOwCOugAWOseSGdDtrABh6WQBTAse+MyLdGHNucWv239YXHV5fGcB+6VHK4edif3cA+IUArEFX5+kqvUT4FysAWGtoGcDaT2NEAAeF0v6ZuFYkBQDThZy4s72HsvtZJptWVwFwSnyfl+eEgZQejpqERWctdcmS/NbFAh0Ahl4VwEzg7ru0dozZaL+iRgD3CXCbbsPtzQ6/AcCu9KjQ4QYAfhkAu56bdog3L4dZ4dbV8Jh+wJymHIw2fNA3mMIGif8y4jN3CtKBlLeIT+sbdfyNr/RZiq749deM/OkBnJK7dH5ELv/KQgAY+gQAh5Q/2TlP2QK4tWNvGGZmMOgBYGJ79t0Ajtde13bFbxgAwC8IYO4O6FvKcZZzXRGtRKuNhePYADaEFGMQXqOKH5YD8FlMrE6Esq6FfheaQJiqZ2lXNq92fPB7vIwD4GS/s9ZbVIeUAMDQZwBYdo36AphGkOomkBm1euZYa4VGjf/PlwFYnfg50cXS9/H8BYBbACzgs5Ff62jj/LDKNlJzC2Bps7C4jDd+BM7swyZ6SZqU+SWzg5hoMMrSVbe15I+3wJ417kAJgEd1wiqcdVeLWgAYemUAS1RqNusB4Kgc4qoAWJ0uOwI4Ki8evhXAOhFJvMKjJwwLIwB4NrJeCMBus8UvqK/vJHjR+W5hoK/gIHA8rUmCDlr+f+SU4adJuTC4fScPR2uSQSirXUtKMnNQ/QYL4EgAXMnB5DMeH8Dmb3VNfSzai9TcBwAYehsAL6RdQveOvafKNlcZwP18trRE8vC9ADbmG+4+PIm9YwDYllKdTuuRpJ7YD9ikuBPAZrK5LflhXWkk14whLRTKD3WNNLm9zrCyUN1b+dWDenmbwIVd2uVGjUt9lBkYSRZWWGir5Q55CaqTvjKATYpXsVlS5uWEu0j9MADvC2dtuF856bpZKgAMvTaAK0WM9wM4Xe0aQSkJJ2l3p+l1O9g/H8Bmlbe9bs5i1fDmANZaqob2792Vsk3yI6Zo9wHY9KhPjSGl69xMqYShI/CfcK67sGvpLFC2snHwXSzqLbCqHh2yVPb2gGUtXt0D5gQpzZKWfz4aqyt3ioH/HUWglUPQpRxMN8XIr1CaI3rJ4v0BbM96zWftMk/8S68zDgGAoVcG8J8/f7iGYuecbLuHilsB3KvXkjdx/2oAa4Sf6zzeGsCxKabi7gJjiLvvzOeLB+WE3waw85zxCHySPCVDWCUkm7OaVkKS6uDbdVh7Se5tUNlgVf9nkU/IUh1SfRZ0DqO55bM8YCaPygcwJ2fW5B1cKK/S7TCnSsKLn2amSSUniakZw7BhAK6ctd9qMXCzkkXdpAUAhl4VwFpDcewJ4HXrXq0Ld8WdAawV/pdvBnBlqv+2AOaMX+47sB9J2nonfA0A/zAV2YTKtPr9NQaiZMesUDCE5JphrgVSQi58MylFbH59+5ophrp5qE/0orJ4DecuH7taB6y71UpQ+/66PQ7HX7GBXhTD4ATgg5/iVczBNJXOu429Dx6Ag74ALp51bM46CYvhemlLUTNnAYChFwcwFefHnQEct2crsyn7ldujdQVw2cPgOwEsyye3zPl5VwCL6QQ7WWejyF//vQSAXevrkwfgWaxL3IUDcKDd+pgHJ8kkK7g5Gv4e9jvNvyv+FuwGKfLWrqWjRxSsnUVuu9RDmfpFx9rhQ/wwwwKA2fH5oIQvekHX7jB7vRryTx7FamRcAGsjRzrr/IuvG9cTW5PbtCtUtSoSAIZeFMDWRYBCRqceAI7aUmH8576rw1abwccXAXh3WDyt+Gg8AMeVldaI+nkNAPOT5CdTmChGqo/yxWQLuZrhEyOyvEt7EYpxi9/q5Fb8XV0coBQ9Dm0jhJP1gvaXhK4jk7REZNjsTE8zB2D6/hrvlyKAKydfPPqYAK45ay7w8kLm2pSxWpQBAEMvD+B0K69sL8OMBscqLp/XcoTOHtMtFpdvAWCzDzgGgMPguWPBOAB+XMrUcwAshpTFUBJvWO7sLqthmJ9RtBSflcymEDFK8uXvebWRDeQgqCwGTa9edSd10viveFaQVVWxG1JxjUqpcZwItjskXj9BbhmRnyIfvgpgm2xmqwXn9qM8OfCzwW3b5MtQAPNZc3HVSa3ij973LmxL5L0WDQDA0LsAODn0A+WMXgSZQAcNo9ZGDXE6HVdyRx9huzgVgL1MnCF7wBt/9QQAvzqAQ21C4DlCa8aQV0kWWH8aShTmaOpKrc5UBJJdvvzdbDS65K8e9eM5nkln7g899z+7s/2A19yLoZxjrbu0POU2iWD0/YfiUfKvN90/igA2yWYnDgUvpUV1IqJP0sJ9s7QNmU7c1aymYUsnALu9ZXPW+kSZEz4Qe3d0W1xoGgCG3gPAGbcwizrv1d6wQ5DQtt8i5m4At/YZfi8AzwYAmHNomozGAODXA7B5kWazcvQ9CU01sIZTZQ1sWm1wWrdI4JrTd7NMJbpUKBNWzw/6C84qP7tP0oel7GCtHbSkHXBQBDA98dRQYSmZYGtxO93Z4+yE/mZ1W45gZ9o/zfUJyRGsMhOH63KpwItlH7pqV9sVwPKe5uSXk5b7uvNvmYh94y7FWwYAQ68MYK84v0d5SWPbQEnuirsnd5Hbayezuc8EsL96AoDfAcDyInl1d37PBZvmFNo4bpRjMtpSefTVVmgReVNT70xZ8FUA748MyOVWKqILSjkB+iRNPLjZUliy+eBAtazB+Z2XhaxoZY9CR3cZ2qUNau6fZijP8wcr+nDKJyW1xjOtpavU9HcDsOljsZL0tbVeoHfd1+WVv5YbMIYAMPROAKbgjpQOdm/X0/iw9i5vitJzR5P4lwBwyS0x1krI3kfy6y0A4PcA8MG4XJT8vI8FADPEKJVJl3NKYVH+P7f0/2ezL27WUAHwjvkblT4oH+atJA1te5nC/oleHIGjtba89I/DZ5AfmhOkiwD26q1MBFsrvJWCLJ5OmFpkzZUeCGCvxJknOLF+sz1j9Xnx06MBYOgdAOy74/RwOGoB8M5YXHYbsPkdeUiK65Qr4PjUvbLLfp4PYatERvPrB4AHALj4hEh6r3uQeHmYlNt/6SviOU4GZjlHiVCRpitTr/mTiHre2kbQHEP+4yM0sC3GIvPB2Hw2ls+a7QuvvugnqLDMWUqao5xiexD+X1JFXAKwLOCPsoV8MmfqSzuI8NFPM9+tpwzgne/v3AZg23PKMxmxZ60nbW8ZFV6HxVvmAzgCgKGXA7B2MOsMYHrqpa33T8E3XrfEdpto9jvruvSLt1y58JhbPgKAa5sFiO3x6dQ/EF2zegKAnwXgREZnT9UuAz7XTi4OQvuV0pPBF096zUZpQ7eJrb8CDoor4KVlZ+2nncdVfaduLgcuWWeW4jdNAPa6H/O5x2WLb3IwPx85GXodx+uGziqcM57KjnkccWfim4+h116t7pTXpffFB/DKVl7786bC+RyoJ413EAAYAH4MgPv27dU4qWvrXfBkz5/oXdoNwHZoezcAcz2HJxPP40Gq50LYlWnaRJwAAH6OLtLF1xc99lkFwG5laQK09Cz4yVTFdy6VZ0Qmax7DTHrT3mRBlwuBGMEmIYk/7n3Yrw8K6h97d6beMcxB9AnOMVoqRvD3rPjUI33wtyp+6iV/Wo6ue8SSGVUCsEwk6Ch3rTgDajBuQuf+WXv3bOM3L7HTJw74pxyg56TsupuiPZy0zQfvvQNJAPADAGwTK6/b9azzcpWmlLaraDFSJW0OuyKdDHRX+7cCcMzlWOWMGMpI0fH11HMnWAse99XuawDwY++A2pr7/SDoZwkqC0vDNadrWtyM9b0uzpJNxWgozt0kwdl3ifQXr1Lskxa2bP39YLUdWzQD2J5p6SB6jJTTmcRnstopQjpPrCTbudQkY0PhZ66qojVwmpoLKZv1mIAyH+SuxpK0d53ItZsv3m598tNXSW+YCoAPnLdGt9rv0Fx6yDkTRq/8UX22IKyAXRPvaNY99hpTW++kAmBpirLsCmCK2DXnVb8ogHmbayM9AoxMUYimms56r6wfV5MFALfcAbavKsyvjuVFknVkYkS4adiqVAhsvJsSqfiViqIixPhR2u+LPX/cE6sFt+dy0nRqvvJsLTqCegBLMpUU/K42/kH068+7nRpt+R4a3oChFb+c9WwykOW81UFLj35mw5BqMNwUNPP3n+/p/W1u78HcNP5uD/xcD8XdnYJq7fRRvkrmQrU/MZc56aXP3/dZhd4PwLaVS9xj8zOSBWsxBG2bosz6rPl2h+SdACwZL8fj3rdTmM/NQkXqMXpmcsVrr2EOAPy0OyBDuKeaywlMvSohwp+LiaNUueFQqO6JWjybWmSfFWLSDCEoAfgSesaLghUu/rHgPDKGkkXYOGsLAs9xWgt/lWj89fooJ4sy/n8K564kXNmZBvmC8InTB+XoxjMzqwKYRx12r7oPeKbnQlI465WZc+z0stV2qwjgRH2ydsemta2ZEOi1P734HvoqAP89l1YuvRwTacvWj5Hq201HXHf31uJdz+ydAGzaBs4XBVtAfu2Ppntq72rg7cZaCWEP+GkA5qwlXzVjtLe2rfxtTf/40COpwsStILUPQnXzP3D9CgVFe+tDsWP+uQ835g14c4C/xUfKHuRs2R82fr1Hwv3R+3az9pUTNw6Rc9u4qi5ez19f6GnYNj6aiUNizpowfD7vfPBXe3cWvyprTUxTR7DF0/1foe8BsIwZx9W1D4XIsvg4L0SqNFbEeStdGxy6PMa3AXDMUeLMa85q76vNdIn7ukKzLxh79T5vSACAXYc+q0ar8pq/XdTyMCgsRL3V8txrgdVMIhktFs6H8SjwXZR7CN5cUsqEQReI+8J0IWiB4cUsco965oXmEF6TwEWS8LK0cpuksXGWdHi6y1MXprC58IbLdl+VzGvOpDBo0bnUNRWGAOApAcy91Ewrl84A3pV7ijPRKajdHcDL5X07Qq8G4JoxxDVxsT1yfntNcExXdQD4iQCWIdwpbAFw+W8XYT3RCqFgCdbWNAFsXw2qfbRb+97dQMuxLHMHcZHneyclh0PxzIMigcP6m+XxeaFh47uHSf+s5xJisLHnxomG+ylu/mzhU1MuoG8EMLcu6g3gYtMeU+Ww6gHg+qLBNwFwTZSNG5in2/UAADt6AcDPezXLVG3bYK352/BP3YqyuAYtrJfvAbB8UZYwh2RZ7geuO6wmTYjWbDzfCWBdh5pzL/NXCRzWtfSy/0gH6bLgLK6tbTzi5i/SeCbFn03/8AIAA8CPKkOSR08ixt2NIzlLqJBxGQQKnk3XyuJ19NihemIAuyYuQwAcLZ+MLwBYXs2ybg73xb+tB3Dg9nNzgmW2L2BwD4AvHoiSzLYUDDoA2DBSDuIT/O5JSWa+vbBrXUBw9WYFxft0f5Vd+azz7/fuWdua+dbPFpR+LiAJAH4QgMVIvieAvSwhvZCLMdrpDmDjIHD5CAC7bPC4tyGWhOVXewD4qa9mBautGU4N+K0DsBeotQS93CJoaYkZep8NG76r+SAX7yDu6+8NBZtTL080Csvg2ui7u4BLB96Vz9rqcmPP/I6f7dIyWYIA4GlC0MY48rjqDeCjFiy60KvpTDrrEW4V+5+PADB9wZwMSXp3ZrBNHw8JAPxcAteow5/W/n0dTYJ7CFqN84blJMBuF3VpX6u3L8LDwryhDOCgYfv79r28/VNc7ph03PdVfc8HAoBHAbBnd9sRmtdS33jxjDuu+gHYuBa8P4BNbOGQ42vdtzOD2nFcH2ZOAgDfT9VOsK7780607vLZDjnFfT9+88OF/1I5YukTQacfo+nb7zvTIX8FAcBjA5gVZm6h1i1EyoW7flmk8arbdG7vsJbuP58CYPkOiUGLc33fxkqaav6cgQEA/sChxl8/XsAcCHo2gGWhduoMYO6acigCmPorUcfxU8dOwA8uuXkQgPcr0w2tpx1HrP6czymPAIA/kb82/VrSnpH3C+G1eCKAA234wmvgrgCmfdtkEZZbpm07AjiWDmiP86F5CIBDafw2wJCS/LCuutEeAsDQ8JHmIqaZc6/0F9YTEAD8RAD3i5QSgFNjN+8DeCOds7uibHdoNhl6UwDbbo9xbwDH0hXpORZ5APDnjTSh66rEvRIymC9CeC2eDeArNc/rZptYM7xqYxHqGd4NOSfP1PFBt/wRAOaA/ObaNSDvA3i23qZtHV4BYKjbY2/zNFLpO5ig/QAEAD8VwL22KnV49TtoUvO2XkHXE7fLfqDt8WMAHCaSEx71+w4BsFZIJwsAGBrjsWf+pttIHqzGJgUQBAA/CMDUkHrbFcDEhpTG18QBWAyQ89X0vYfyOv8kYfhpAOa2SNaQsl/PYR9iD44VAsC3Sn4GVAI95Wqkj4JMCs38GdMjCAB+IoBDLd3tuGydOf/IKoBP3QBsbaWDTwKwa00xwA8rzqc5/92cj+xR8uDBHQAOgo8isM4JKQC9JqO1dHVGfAICgJ8L4IwgkXZtXjvjxZl0jfcAvNpsJaGr00ZnpbHShwA4H+8OtMO+7u+HRdOclFLUAODnAPgSdtOLA5gbZdITeYrKW0gQBAA/HsCLXsm6xipxVQAwIS3ikqZuK2Ai2eVxgHkMgG27x3y90bXKq+4uP5rAAHAP/r4ygbVZypmt6mwORwIAQwDwMwF8oLSMjrlC5BKRsyElBvWvaOJSGyLZ/qErvAcBmAhMeWmD/LDIkJK/CAB+wqsZ1jT5bdUrt5QNdAHMVnWUw3GVnwcAhgDg5wG4V7IuoyFSNPgA7uTpIYaLUWoB/LiB9REAzrUwYfl4gCHldrM7PH4TGACutvi9h8AvDWA72dYcDm8LCYIA4McDWKbFvQBMRTKUPmUBvONw66wLgJkv530WPnhgnRrAFmJdE9Pq7DjSB4cIAGD3nJjm7/dp8cLOFgWvWJNdkAP4gkH4k2iCzhLvBmDOjFxuuwI4RyfnL5u1WdC5/493kMWnAjgzSeZ9/LB+jR/W6rFZagCwm50e9nfrcHigoXkvANMesMSg8x8nxR7wR6K32GoDd+a1AWxqA9NuPQQlOKoVvD6ATx1KbuwWZw7gy0Nv+eMAbHPcTr0BTGni+RL40baBADD/esfzfdqRjo/rqdlvPpFwEDp/HmkD+HxEHfCnAViyFl4/JR8A9lgkG5WdAUz5U1cXHA0Xh/NmO+sEYM7kunobyR8I4F4tGosAptaPDzekBIC1SP5erXK98uXqu87P44bxCyvKD+Rv/hMn2asnBALAHoDzeTFtVHZs4msqiByAubVwNwBXapk+DcAXSXzhyo/eAD49xZASAOa0wnR5t9IN18W/LoCNGTQ3Y2D8ohnDZxHYJS2g1dWbAJhfykN/AB8tgJP9atkdwEU3j08DsO67rbre3mIWlqnZBIAfqlCyGu5TFG23S9pNSV4YwK4fkq5+0Q/4wwDMmwz7w4ERDAC/C4DnRybErCMdftfLjQPwPAcwY2Z29wGs0dPnAphCQjS/oanJb89M6ILt56PuFADMU8r17E5ROgPlRMxfGsBukSQVU9gm/CQAc9bgcbc7cr/nBfYX3gHARGCu4O3sWDz7PRkXydAepGtHh2uho8OHAZhi0ERgcig59XaE1kDBmZfAj7MrAYDtlLJin1pVLAA+vy6ACw8/lkcfyN8/Wum9IgQfntPFFADuDGBZvF47RY8NgLfaR8FbRg/qafhxALaGlNv1EACvt5SrdkgeWA0MANcAWGFbFeN3SxV1yesDODSWIRh+PwnAMtRQil2O4OMeAH4fACdEiB5LNAtgeqM7byQ/a4x+ZAiaX4vs0NWipNb0hJfAIQD8ZAATbOs2gXkP+PjqAFYCI0X24zASSgB6tVkumcCHp7QRB4A7AVi3DrKuHhoOwJTCzJp3TqW26b0fC+AfszFzHOAIrQQW4+3HDZwAcD2AT038XdLAd3z5yzVWDdj9/UQAc/9TevFWKPJ+HwCri+S6c9Oe0zZlAGdZMu9RTHziZd3h0aGSBwM4sI0aT/Gsvx/WWtLFH1ZbAADXAphK12u0Zf6+dBlS4ZFE9tWnYcS0P023xuYbzZ7fAMB0Bn0aGRkAE4W08qy7nRZ9fPd4N4AHAljXwAnnQa/7OUIrgdcabQCAnwpg2eytisuAV28A4B/g90MBbKOQp2h7fe9X76sA3KuVr6PQ7iD8ZUPprgCmsCpB5fKxAP4RPyxydOjrCG2/cPPI2QoAXAUwLYA51lwVW2E1u6UEQcUnP2jWzU8H9y1xK3PtO76r7bxun0PnDzR+9MYBu92Au06q11nfd+ndPtjtop0HVmKyPb3kVvRmeA8AU+P4qHPTHobCnuh7OPRoqfToRd2TAPxjHaGj/t/3O4uEZ8mD3IYB4LoVMBeErWoltR/1v07dYGr+xyV0ahorB/En6ASYNo5cimfa/OVhQZcBZ1053u1j9b3XdZfYgVvVbwh7/l72fCun23bHnam/AfDB1C0CwK8P4F5d8wjAK+oCs9/vj+fuAH7wtuazAByEyRBHaDtdIaDt5wDwE1fAdFG7Y532e1N6GbSsUkrjsv4300s4bDDHKI3Gd+CnDpTF72wYl4OmvyqfatB4nd7flS7rHgxZYtv/findoxvHKpzxpf4Cwrp7bW/bvd9Us9nkXXqX+ULpb72fsHgPf5pvOfFXo5A0TUy518biFr6h1wBwkv90VyJwNwDLqoxasR33lP/eA8CHx1dEPDwEbVuhbwcBmBdfRLQLAPwsAEs1WJOSpslkwyrOFOUm8yTJMgu2WiqWVlZ3jOelvzVf+ad1hRcETZMFOdUsS3ItFq3XSX/n7ol3WTcBXHfW3gETB8YOR7rzXttvSkxr504Etr2I5NKzAsSDm58rxgrMsci1TM63aZni8VeWUSdjcKQNXNAZ6Q0A3LNt7YyKY3RBsOsH4PnnA1gay0qFQNwfwL4fFgD8HADHUWrr7qoKG82Vm2KTPHImFuCLRSOAQ7sgug1gt3aqAfAf17GuBcCVPzJBTnOmjTiwl3TgBsleX4A7AMw3qXTWlml8uGxxzwwk6HOv5asS+Sr9pk4AdpeuZsx3Tj0u5nctnm3hdJPmOy5/m9AdlyikztW5O2bhwMDtqwKY8+fS5bY7gOmHZp1XaXcAUy+Hh4dHngFgekEo03wAgKV31Gp3yADgZwGYnGfcqqK009nSA92uvxaFpZc4yIl9Pg/ajgrNH7+xZdP4t4V1YOtiu/avNMh54A0nIvClCcALgYHG5U3bhzC4L3JeOWuFy2HPLSQsF+9aUpbvddJ2r80Ug76Jq2gXnbhVuHTejzDtpm5duR/1vhQaC9pnQ6677dHi710ZANO7J/2e73lmAOBXAHCPvvE01cp/aEpBOfPHO/C71M3wowFsi+S3Pd2wJAOX7Dg25pYBwM8AMD+x/R65wrZoYedubzaRbRC7QkWNRya6Fro0PwFmIZZIHLQMYLOw4rO4NAFYzyxZeJMNWoYym3Id5ln5uXcf5L875jPyM03Mj6YvQGs0tnBy9gqNjw1/bz7H3x1NE8Ww9VDFrdiLLq3L99ouce2sY2G/ilOYsvui0C5jyl36Lv8OQ/kbh9BLNAvm0P+V3Olq9mVdfoD7250BcP7upRvxo6QQNgj8+gA+5L9e1yUsAzg1SaFdACyul9F1tU++AsCu6WPc0xFaTZjkWx8RUAKA6wF87AtgF79VHtkhdscz2LPwxV82FYKjEtt0qV5Ni20h1sGs8+zzWVpyOzjUbinmKHF/xE53ghY6zXPJ5MGFj3XRRgRbcWEWXZhc1lz2MS/NqUR/DCMPbu/SooXukXgc728EojWkq1FrXX4XjkM325sYFBec5qv4It2EqLUGqHrpmhVvf8+WyYe0LDV/qo9Gxr/1kViuz4a5K5fyD6a/qHwxj8ESK1vq7ZLmhPD+fm0AU5vu7mm6VPJNFZCsZf7p+LcDgHlD7UsA/EcMKdOtuJ307EuYE/hhieMA8JgAZp/evUpWcQZpK2YVa8Urpypg5YE9HOzarA1lkvG3k9WnV5fs+Lv315L10W5CgoJWMoHmtDBUtKyKhiOFELX8GV3RdXlNU7mqHEZ7L3zcspPJyYrytXYr2Rxwk1qwuWlKUyjYLGVl6ejutXerd7oMvtgwt/2T9Kp/caNtctOlX9ONg7AJRDQD2P4ist3rzxX8R2NfF4jW1ROfdyp5tGzXptYwtEF4PD7ebhAA7gRgefI3HZ00KDGIYh0s+fG78FdaOQRfAWD6Tk5S7G0JrYaUW/IbTu76WgD4hQDM3FMxixhxMr6m6VXcPIQwfM/+FIph5QVVAnJyTfMCMCRDQg1L+aC0fv3SMKdpPJflXD6mn81XmfDmiibZ8rqfawBMV2hBkIvtwcxl8Y7k7Z1MDsTJ7mWWWaZt9Ij2WDp9aMrElvU7f5IPlbh7nXrOKcI0mqHwhOPoZg75yau3iskkbgcwr18Kl+67s/hTqrpjyP7fykSMeZM9P5gOq9erXrc9UvEgF+nAoKcdyfxeunOZ27V6guE+ANwFwBdOT+jsJfmrsQ5VdPcOsj4jSwfgn48HsKSaX/NXZB33BjC5d27EbwkAfjMA73fWsoNZRMOm5QG5WYqhNGU1OgeFAr/P8gG5q41Zsdz90uDc685k4qxUDyfxybqOdYHNGMyPka7EZmd/JB5cLVRLx9WWatIKL+W/iqLImmbLh/gLeV+1JXuaDnHV58ZSP9X7s+VD8crOsihoisHzhihfJ11Cfq9X9jByJGGwzFDo1zla0PPZi713quZmTQGn1kvX6+YvSVpC5mwEvJSsqT1vstNlFx6NrSxoVzXdtjiyttFv1viatuxSi/J38Uj9YgDrM7vq2M7ot+DMt+0E4Jj3M3fzhVjFfQOAZWTsbndS3Dd3flgA8BsBmCrt89UMSVB0kC0f7qQU8f896aCpba8uRQDTFhE/PVKKLIlKteM5G4/L8E9/WQSw8etfNjQi80yFo/X2Sn/Dq8crcYlPkbcXd/5xzdO9Yw4QBXK5VslyXbYwJmzOnlYnCXnGD4pQAYuvbQ5GsqTJau+A2VDjDVHut+bfa7nRJ+3ffKXJTn5b6IsV0PxlJzpt/iY73Q1aX+zqpeuXRPwl+7aQRXY4b7aSTSPlJHTq5nTdoyHbuvmRLqUni5I75bo0wUQ7u8/ik/vc6/fJ/HYA09PfGcC8BDazynWXHCxucUsjTfCEW/5gAOvvzOPLprvdSQHBNCacJQYJAL8RgLkMfCnBTV6RkHMcuRZpe2EdPGfxTHp8FpKhC2UK6+YWJpTQS829l5HC3H/DDFrP9JbHnq9aHQnl5eANj4PaqMo5yvZiDYBphrGMInclRdFm1YaeXE36+KnnPq8BTvyMc07vkicnJ1Ush3aWNGHQuAkuGS3s1Xc095qZpAeRthoy2eFFpKx7mXb2rHkK0mzAbkNb5tLLV80YJ6+EQ/My+iKP2YncqySbdaO+8fpsnFxUmWKGWfhTSA/gj8exu+u/pRtf/sGgVwRw/vjzzFl+wQ4Att3ZOjT70fc4XT3lqXgKgNnuxIyi/XsyGJc5Yzo8XfAeAB4ZwPTLazSRCMyrykjihCZ8eGLEeU+WB2CxyskfnVjduBYNhUAU0FzLC6ZFazUA9v3661+OaxTrbI8XonYZysHQSmhbA6FRba9kIghvVqUaCg1qC60EwFs6d3rGd7znrDfHH2MY5s2WNIWaDrmEnVlSGsauZVnOC+R8havvJQcNNIase6nitdscOA/spa8bFXmbBk0APvH7ouk0vO6XOHZ+RjL1ERbrkOnfP27mvtRfx5/86MzONqrOAODXBbB5jgTAsw4g9dqT399LSd/HJ03LngbgnsVelbS3TeM4BgC/OoB5c5AzgEzGTiq5NrKJQ+O+izF7ADZlCifuor061vRdMlWz0pKuJlTcDcDbk6zKzgLCSLsuVrYUNQlYcjjXpjeyJw6OcTCWCHyoraIrAJjtBTZmS1ZzqdM0/S9TNNYc3/zZyu4AsCwsbfpVWoxqSxxgzxU8y9Tmk5p0ppiXr42ddcuXXr5y+SIOLh8bG2XpCpjdM/Ra84u1GWdy883sh666GM1WE6VUdwGlzjHW6Hd+9zgL64zehC8OYCJw/iCkUac61ZlPYJ593fs5nQ8fvgrAIWVjdnbsrNl138idA4DfDsA8kkZurbORPkqSf6tu7DLo+2ZTmqNBG6S8VLpu6nZT/XJzNS4tr1Q7Aph/Q0aAJvbWJdVqDvFZFsBa/uJ1jFKCCJl5E7OumrUAYJplXgt36Gy9BiLZWo0ap+9FAJ/WrlBSSoA1m9v+FJvV2ZSCyW9xdq4GjbepcOk7e+n/LVy5RA74h2g5iAGwSWi9pu5k5dGgw0iIxK9CDAqBtZVfhqTH4qT6M8qQXh7AP1JMnlmrpg4Alq1+uz9zP0YkLpJ8FYD5dc2Htv49GUzsgOJv0xZwAcATAFgCzbI45eFeXI6M54LsVJrtWa+E91LTbK6WnZLpR4tXL1LSG8BsqWRScZdXV1ZaMPjQDWpeBYoF01mui3WUf5LILm1f15axFwEcy/deTRmPNlzTDRxdDF5X9wA4tjdbz0lzq3myczL/KsSTWlzp7VYwdTw2LBS8S4/khvtXLs5UJuOaL7wNwDOzar2ac+HrnnMKuq5u17xpnRW3J3hyRg/QzjPiMLniYsNRsESDXhLAAadPKoA7GVr56hFI/RoA2wFwEIC99DUA+O0AzDFmzlzkshPTrEBqbXklZXrZ+HfOJDDvhJ0S06yktaqfhI0e1xykK4BlJ1mCz1czoJeMlfJrOxwVESdanZ+N81XGfpiyQuTJB63gbBl70Axg+t61ZqupYwgfzGUzkyUN/RQ3AWySkKSgap5kCz0jcb6PFXquYFcdP721uKw6L/U/q7v0SHvwepcuv6hkpF853asNwFIaYpL0DtwGaSEhbl1L8/ZDKS274OJVmDbsnBd0CCfKlwawRqHnXQFcRnAHB63l80bnpwFYViidc82r93v9AAsTAHhML+jQK0GzCbhSAsPhRFuEE8UuPJSVPTSOG7NZKHc2qAuxyEGUBwUnrO4ANvWkMmHY+dbCNogcSBKS5AqtOchsGx38kTW5JkGdOKlpd6hZj5UALJ4zWriULaxbJJ+X7nZRX4w7ACwFjxyvlnstngc2L5r/oNTAnvbjOJXNJIs2sNO/9Jlcmm9uGSaSH8VThu3mvM9aAGycdkyuWmI6M2gCnm5puyrEOiOyo+6hb92P39D3GXotAMsgQQ9db7PibhaW5eHhKwCsO+0dU93q7DjScqXKiwLY+CZOprYeRBMAeKsdrKtq71FbBrDZRrBdB5Q/6TY22/wlrwt9dNYaF+ZPXyoA1q6XMgbvClt/vQCsnkrbpfkt/YZOP4UqHE4djrhESl1C9MISV0JVB5B6ACsVTcm7yfDmq5MU5Sitt/EpAZhXlX5ptbqa5P9uqHdyqVbmq6iY6xppWFjallff5oA23Fe6m3zaqk27Y94fw+dI8qdMAnMrgCmGb6oc+B5zAp5WVXn5AS33L35mfBEAHgbg6NQhmWpIMQ2/XFn4XQAOLqG8JF12zOtctLkt4aSW0EMBbJuS7sVjfjpNFV+r7QfMgKnRojXJpQhgyTGS6IDXLc9s35pVUMlsymRJaiVudVXm5UrbCtYRAHyyWUSV9rKGinadF+l5yQLZ+lQcPIAsN66IrjkEfVob/npU5K9a8YKTAbzaL8JbAOabaawwnHMkR46FerJCVtRbAC/IHeMkKaZafVvdtCsscc2Mylt0GocOib7znan2sfJC0DPJO995T4bmbh5tfgAA/MEApllfX6/irn2E653wPh3A5p1d953maAyaBzoJzr0qgGX7bGX2xaZToynU6ACWBti7Y1U3vHaLABZ/JrfKsQTWJAxe4q5qvC4Y0JqrUwtgIs/mKiM1PyGLRbGzbmcA2wCtsY7WwIPjr04pxX1x6bs+eU3+GJy6f11XFFMC8Mnu2+qPa18eDfnGVK1FrVyqfRJqsqAlpBt4XQdlN3lmmnxKgbK3bpeEmLWUeFD0OKkFsF76Wi/9MC/wV7eIOd8rFuPdGj+sAoDNwJjZKkNKwPPunw1sAMCfCOB81tfXq7gjgMvDw9cAWPaxet9l+56WAoyvCGAv/3QiSW8hfo4esgIutP/yVbMl2wJgjXhmhS06yQ/YnuqK5G3AUw0foqhuVeacXniK5pgyEMDGE9p1By6eNQfO1rpRTFvX0kqisDspHleN2ZflMiSzE2qiPL7pYyrR7MgL+TYDuLy9azoM743r0Mmu2xf+uj3/LVbqK3KSrm0NABaDD1thZbDpzlf2v2fSyrvmfH0Ax+oM4nWktCt2lwF/BIA/E8AJV5T39SruBGCJ1zwnN/5JALZvNg2BAx2h1y5S9bIAnp3UfMGvjBxd0vH9QQAueq/6Wjbl6dQB2E9lLYzXlKBXB2Ab0dxZxyUazssAttk6CuBDMVmqH4CN89ZiUQyvFtbty3XMds9Fqyvvb4RnNsmo4stUrQPW6h+zxC0AbRvdD+BlamNtDsAZ++5G8a8mHq92LqXC3OujsPV0yo9RSb2T7aSFZM1ULv2nHH3fkr/mtX7AKGRB24vyHg3PqN+WqJVtsAHgTwAwtesRs5kHALjNHvVzAcyVCzQ49HaEZqtQydVorO1/DQA7O56pdDW2EMkifBCAXeG7rzhqT48uADjmFLpCl3bPRdICeFVeATsorOULS6uyi8UTA5iqdAqODT0BXCBdIalWq6PEPuCk6UMu1msnDppARklNPCujyUXSBmDf7NmMViZ9StBqphh1FU0FAEtuspvsWOP7IyeLe2nOF/+bNLos1tbravGZgvzAMya59JW7dLdt79q8NiaAOwBTtJ+j3eWbrN0x1mb3gnOkAeCPA7BNqn8AgOtnrx8NYHuX8xErHeYI7TuJTXQLBwLYuaRFtUvGcTRpr7UaADfqtN0c7wew7AZWfjkPwFERwO4g6VaMitcmqdb7uNDVBmjLHR16r4A5Attm4Ey5242l/d6e6sxuuVaurQzgtObk8jVnUgyy17VlLAHYrDu99gVaLs0AtgnpNffa/GCn5aYGwGbTPm6Lq3vRY8/CuwHAJ3a6Km1lFDrlAMAfDmC7wzIdeyuT6u8DMPn2ySy+dyq0XSQtwomKcIavgB2Bp5JYEz8awDW9fjoDeN4TwDtTdao+FAVbfleVaqjpPxy964Blu7m24EeLT7Xw2NbPNAE4nnFTgRoTq6oXtCZODQSwH21oAvCyxtXyNoA1bZ3nHjJfqMss0+Lc5dpWYFUSJy2A9V4DwF8MYNsvb3oAT13H+rIA5qoCzwegVzUwR86uXKoy0V0cA8DakXQySdP0xr44L7wCrp043QQwN/OVo5xkqK4AWLvSilVL4V3v5YR1Mj0N6+Z54ryl6UzrptJ+f/9aH4iqiVUJwPUn1wvAG56IhEE9gK21etIRwBe9TXSQdUN7DL2X5o7bsqomANd2aAWAvwnAczUWn03L3xnNS7PwSQYtzwWwGrjLrLh/MfCJKw9X+8niCCOEoBnBkzI40m7jbwXgk3g49QCw3b0QAJfi2NKYbmuqUsteaX0A7AIt9RFo8yhHLj83a+uSKDvmjwVw+TYVAHyquI7dCWAvk0trEqpFlR47o+YS3oIXNAD8xQC+UBmDVnxPDWA3P//5OgDnb0qir+4AN44cbFvTnCx8XQALhCeSmCqnTY3pXhXAPJ73BLAGmZ0nlwfgZO86w3pu4T9DAKwVyYta/1rPU6qltN8DMHe2NTegM0B6AFgmO5egGcANX3UHgD3XsVR9PMqpyRe+Kmnz2uRBYgCs+dgA8NcC2GTNp5MDOHZexj9fB2B2ieXdo9MwQ8qZ35zs5QBct1U6uoTAq92bArjyhTcBbE0JObY6L0y+5KFyjWNLxoe9uiF5PQ2DpnwG59FUZzJpjso2XmLjHFdtnGsAchwFwG6y81ML4Kjesfw2gI2dViTB5WKHhPJOsQsRVCuICgBOAeCvBfBPwaNtUgDzBtbTHo6nAtjzVNj2j0HLjTzx+0ov/p8XBLA90SlZrCWzh+SBZUh1Wre3SSqN5w1/exPAfvqApPcqgKW8xthCUGS+OdG4az/gxpGcnKkKPGzx1rGmUV4fhbrZwfgAXtUsXn0ANzhz3QawXaxYAC8qddJhaIxKmtnp+gHnz7KE+wHgbwWwDatMCeC4uZXYtwDYlHQO893W5mTT+GGNBeBJy9keD2Apbq5ISlsnBrAxJbxKVYtre1DYZlVfpmpeUXcAnzoCuK7KpgRgbvYSbcp9FJ4K4F1fANvF/1INV7OSTXnGTQnPrewEgAHgSmLBlABm83MA2NT5DwBwHFmbHwD4MQCWVucV6V7AxAC2SU9aVlpyeJJ2heoA2mw2NSmAkxYAn80DT30USikgbwlgE4yQ3ss77ZbsiZxS97aPAgAMAN8EMKUHrSYFcEMl/pcB2JV0DgBw4ygKAE8DYB0A6xwx23+EsQDMZT+Fqhbb8tV5QkoXqka75ekAfG4DMGWIWQBfqQgifHsA65nILd80Wa6aTowAMADcnoQVuJy9KYdMes52Xwtg00SV6/O5S3n/m3kyPWMWAPBjAMxgPFR1Yx9gNACHmkBf7Isju43qCcmjr2xr/gwFcFRPwmYAL1oBbFv5Ntp0vROA7dpW+46w/LjIVf6Ttk8EgAHg2wBWd5fZI4bMrwawZys/AMC2MywA/BAAq7FSfVPiYHIAB35Oj+3Xd/Ez62O/IHc4gG3f4nsAvGsFsLTONQA+luyp3g7AXucpLcuvNX0T5+4ZAAwA3wFgejYzmkdPNu6S3Qs1yJ6mcvMtAGwGCVtRMjCcII4MAPAjAOyX8Fb1MzmAta2BJtV6DQsKZK5PDOgH4LQLgA+3ALytADj4DADf1C8ADADf2gO2O0n9K1TvALBZtH01gC9+Ekf/UiTeUN+oLf+4VdUAcC2AW6uNpgfwH4o0U4hqZlvWE4CJKZlkb9h0ZAD4oQCO45ouWZ7khrcYcQDAALDERndDXBJvR02f/nC8AoALhfx9b7U0UJmosQUA/IoAppkbz5BjTXY2AHbZWZIenS3CtwDwZ4SgT6Y4ra1xF/F3X3UqAYABYO8F12rCeDIAe5Gz7wWw72Mfz4Y5UkbT+GEBwK8GYM/DhauNIuvCaadzWiAs7iwvDWCThPURAHZJWNe0SZsV87e5HSEADACbTtT5oxtPBODGpilfB+BS29W+tmIxxaCPOhIBwB8PYPFwMb2gJJvRb/xes7x8SQAnHwRg7s69aS5Ekkq1I3l1LABgAPgmgPNfcZhHU3vpqtRIfHcI2mScb4YCeDaRHxYA/KIADsVEjWOeuv8v0RRJ6ZtpJ+AweGEAczO0P8GHAFi21Var8+7YrD3hN6m5PwAwAGzPhV8qqpiX3PlJAFzflOvrAMxnMWy/fSZBaH0nR37dAOCXA7CzfE4jLXu5KoAln4CQ09hp7MUA/O5OWD6A+Q3MGUv14M1KpFrtEmAFDAA3/zDSVXSgSWILgLVI8bsBXNxvHxbub2yzAgB/GoAVZewppW1/2dPVryrnBnwN7XtHB3DW1YhDAbw5HxZ/PgbATEXBb7JoURgWzEcAYAC4bhTgPSZyb4knAvC52bP96wDsWsQM2lb3KkLHuq0A8KsCODvQC7oVAG94vzehBXDKx1+7RoQTA5gpZP0Y7+yGRDfA60b6EV7QBsD38BcABoBvAtg+ehMMmVFrpOrbAOzF5YZVdsnyY8xqYAD4VQG8EBdToS3Hm3kBnNJ/ikxU+jEAZtS5fsC7pn7AcgOuFFej66su0t8RwHPbjtAC2FC2UZcAAAaAWwfpQN/m7VQAttwCgHUsHTbZYXMx7kpvPZoA4M8GsMabc5pt84lXFgpWl7Qsjhp9WSYCsKXQti0X0PRKPJ3iOF4vbT/gNwaw7Z3uAJzd4G+tZRoADACXAKwJHevpAPxM/r4EgH1H6HSgIzQROBrdDwsAfl0AU/CTpshxHLE3dSKBYDF8kMqk6nMwDYDlAbYUYgvqBgBv8muLYwGwiZL/vC+AM2ukowAu9IZsFQAMALeMFV5JwwQATqUG/xJ89QpYzoMGFB5LhzlCkxOPnA4A/PkA5vwfs/MqPzu9sFf1W5IJbs1DMEUSlmfndmpNxpenSZxj3DZ1K0BeHMAy+fAAfJjbPaAu/AWAAeBqiMu836MOlvz6UcxsUZeL8H0ALnQVjYcYUpIXgFSfhADwtABua8bQUuA3KoAl8HtVAO/mCR+cfBCX1p3y5zEAXvgA9lIBK7stCwfgtRhh3QLIywM4YyrKQezco6nNTfOzMSqA+ccFgN8dwBpXiscH8GlsTrw7gM0SYrAdxzYd1xIaAK4DsD6+rbt80wPY235kCh34dVV3aBp4Lw8CsOenevKOWNzdlc0WKl5W/m43HwFgOYjcptYyhPbZ2agA3hV+XAD4PQFsdjcmADDnXyxGb93ztgBWDyPXVKV3aMHz4AeApwJwcz9grytwMDWAeYp8lugn+5BKEIXL0QQEwSMALBSam7+11XDFVMBiE8WmduBvB2B3vieee6Sb83Ge1A6uwYMAnF/VYdf640JvAWC7u3EaG8Bxc5XidwJYzmS/sn5YsyFTGxr9kgUAPCGA+VdvVrMPxbgApgGZAbKm9HdJ2VAC8ugc/DwEwEUK8QKc1l1lAPNfSbPipm6k7whgST7PT4UvnQ3+Fk0ANinQ0wH4Qn8GAH8GgPX9HhvAMecK7QHgwmtD7W1WQ5sizawfVjKSJTQAXAPgGYPx0KRGg5kRAfwjQ60CRAZkQZKPy+BRAA7F4motsWXD1mqBkaJBFovV6Oj7ATiQN1f2XOXS9/UxaPnbxs2hkQAsM4IigBMA+A0BbF6FIXhqyNVdrzmEFz6Vvy8FYOOHddX+U/3TsNYj93kEgOsAzHYTzYb7jfAbcwXMwzm/oAqQleTRF3KBHgNgHrvmBsBr05u6BGCJUytAtrVP6RsCOChcekSX3uDBTXfpUQBeFf8KAH5LAOcPKAVXRl4Bx2ydt9tPMVi+J4DZXv8n4BbrA/tP2T24seJOAHA9gGloaxS12bxMvQK2iy/dftxsNmybE0duF+JBIWhnaE7hrZN5vwtZ4RfN6rxuu5XRvDyAnZc7XXndpRvRNzZ6H4wFYJ4QHA2A6XebF08HsH0TANv3ez0bsSmwGVd2hwwALp7PQhvMnQbcbVlcXBs3ogDgEQBsfLcbddw3lsGOCWC3+FqzDSkdODZ5eE19KacDsLo8k7a0DswKjoyU02moGTPvagIF7wpg3gS2l54/hzVmlAvKlzb5AdUXc0QAhxbAuiedVVwwweE3AfCwRnmNfk0SogKASwB2L/tQFlVCgADwmADmOEPapJrsomkAHOikjf5yu9Tj0iNpkPRIAGeUw7Dl7kwnY0nhtSXI8Xs8q7We+ffsQwDs9cWwGwDzJLPXniWcm3c47Pf7eYNX+2gAlrnQMrJ70lwVwWeh8wIQ+D0A7M2lRgSwBwgAuPSy5+8x97IZAuBY9uAIRmPUWQPAdQCeSbVtk6r1NVMBWDaBae8x2krrMi4Fb24IOB2A1YmaLk4tIKT7vGqfw3CTavMI27HhMwBsrWTzP2M2nndH79KFvMfjbrdjatYSeEwAJ1RtLbvxWzMf4NPgGdFz/Y8A4PsBbDd2RgawlikAwKURwfYWjQcAmHNBNBdzBDsOALgWwJTs2yhNMXwQgLm/rvQF5n6W3JkhadxrnBDA2gxxTZ+gLOeVMHjPyp/sDbeJ4AmiaRp8+QQAW9tebsSsddjMYLn0nLxn2pnY5FJjjIkAbLzlOTOAt6T1Lw8yAWCn6hFtegDgyQG8Xw2pTW3Yo1SfHgC4ccQYaDTGS+BsjGYXAHAtgLmYrkla5f4QAPvRT06g/7U2XcGDAFwk8JXt3NSPixnMeWkriT6L5PEMK/x9OwC7S3fG+UzQ5dVd+pnQm2pw5LqyTTImA7BJ55SHUYIRMgWQjffnNsEBgO8CMJ/TzyVR55oxAWzqZAIAuDRiaHfvYU2R1I7jvB+l3TIA3ADgNm25z94YAN42AviHEud//E6W+pZ6TYYeBGA6lbKfKtfkLHkZLIs/WRpLmdK2qVj2rmYCUwH43APAeulKYDKkpGuPT16WHmWn6964ufTpACwokdSdUxxbZwCdA2h92gIAfgcA/7jSGP0tR9ApehV7Fvey2zV+d+lYwsG0wQB27r5D7/aoAHa7EC8qyTaRVdX4DxXtqHW7AXEbgKlxfcSbhWxG0/yFNKmQ5rrhHW27HYE9k5uWx54bCJwYrTXgKZDQgrC1ttx7fCMT/eRFsEhPkX8qSRS+2Stx3UTFi2kElX+TpJzVRNzdspSuoHqv1chEWN90heYH27b+YMYNm+bO1GeRLp8Xwaol73zLngW/mLUAbv/Vjckk59x5g2hz12UOihhnADkL82MDwO8DYDYaj8z8bbjk0RnPKGIYgEMx+9r2vxzZzh7jibam9jRpH3iXt1J9MMZpiT/I+qUVtfb/GahLxpPQTg9F4x6wtOzlEZ22amtL8cJsT1/IXY1o4Zm0Yo+PKMlPosZOwOWRnL5j2YBW6+pPLwcvoY77pspiD2hmZariIV/4e5VVIF3UtXkj1J1cupUq1joqmkZQvDSVhM46AIdkZn9mAtfca69vQcRXeK7xjyv9YKt68wIzp5FYhOYBLB2AU5eed+WJce2ly2Nmf/V5jcWGrhci5W+L3wuNajLRM9MgPgkdegHgNwIwPaE0hRtJ8hDceJkfB2ATwut9ORqaGwnAbAnNK5qBd3mj6ZYjAJit3bcvrSVvN07U90Unofcr2soqp36bP3+fZE1EK7faRMSLfKHQ69weK9KuoZJfLLcibS9BUz8IWdkJDGtMOzxML7dycw9NlcU+hRJemm584mzSVAnE58e5WYK6JgDLEngr/K2enO65UlZ1fkwxX65uedu4MF/BaldO+jTzb73C1aqudloTnG/8YGYkIdyneqFLM/mgurSr3onNymKzuvjXx6zhVw/clCjlQfR8bDY707OmYUSInm7kHDZ2ExgAfg8A6wTbn8QNUyqTsPaX+VG3XJzU+UXuqY15/ccAsA4Je32NB2jDobv5KCFoGhhG+/mnUUpDmwQrf6YA8L7jE9IUDNdEJXqhrsvqPl/pC3nAvhErsiyi7Ce9E03Ly9JjRuRJZTZcfRsdpvO/Um4kNwAcOLsNP+2o/Pqf6VjZIgxqAXxx72TTyWkDYi0r9mbAlb9K5GQ2dffau8LUu8K6jWT+wf4rB7nUX/pFX92d7vma6Ueu9KpRAMrKOnp1wEHLr76fN06Jzhvlb00dtT3rRKYeVzMX8IYrAPitAMxPqKbQjyLl70sAmJ5piZoNuppx8vrFr09TR4beZH7R6C4P3po2i7aX1oorXqbJK5CAXqfT2TU6YfGiTAAlbmUtX0gXdc/OKxP4vNL7UNOLtxbA8tivuGA1qQGwIoWexZV9Z2+UTci2KrGRQaRLv+I8SUC3CJta9rmTk9+0enLaiZG/ZWNDPXUA5r+iU6m5124icvbflwqAkzt+MPvq2ksvXLj8Mlob3HjpN351s8zmCIPwt7Hnx0W243eFWAQA/J4A5l9SC9lG0HnnnsLnAzi/6TLI9L6cY/3r3/d8zP7W+TzwLh/HAnAga4DX1s6uLaYAcKaT0LvV2LtelknsyNDSMFC/8LzTvg7hraZlOu7nn9BSz5bHMbABU/qOpudE8UQR5bP+0a0NDed3nGiAuLQKNvPVbNHYlc+d3HHn87cuIVgvWmPjYW1CdaZ/da7ea+8KzW3IalKp5Qc70g92bmxr4C49q7t0Xf16Nbh1l25/9V3tr+7PTVY+yxv3pGVvAgB+bwDLtE59XEaQfXJeA8CaqjHgcubzUa1l2LSeXvlBN1w9iEbJDeOU091L60jXywPLJABedH1CaA16qR8ZOSzKr1NLg3v+Qr2o5Ma6U8ZawXr+if2t7R1HyZzA4tdUMyAHbrw/Gv7e8zT5By8GolO3A9oaH9evPbR8rSNwfnK6gA/rt5OVwLV53uUrrKmb1x/s0P6DtV56mip+zYq16dL1MZPfMGkCcCY/mxlFL0HbmXCU3v4G5JEqCwYA+G0ALHEcNVMbQ74b2msAWIfE3pczrrcb3XEaNYbd8IP68I6wBxwMu0EPEffglQXMFACmOVqn82ltBZjo6yRbeC1fyBd1YxKlO5l8TPuJm6FiS4r93L2OtXhizMnNvWvSbJawicwIzm7zisMUZp+1DcCGwPtDw8kF7qL5CpLaF1CzlmRyUnOvK1e40OBw9x+s6dI3GxePshHuZgC3/+p+eOHGKGrjCDa4p7sThWU4oPseANbXezxlL+JGGngEHqDFYlR3cxM5G6xkMc6LNvgGPUrZGMXYDTeg6w/SGhvM7C8UNgHY3vFbkyhDEfcT3fEJN5R7j0lQv625cAe9a9LsMFQKnB2PexfIbgWwG3MaT066C2X2d6/vvxuG3pHqTRtvXKFdRrf+YAVCFi9d+kPvvflwC4C9L6oHsHc22aI59TPwCMwnctzpqfgLBkD3LQCs7zf30hhDmdeQ40UATC9pX43eXsRM3IfdcO5+Eo6zNU3D8Eg//lSSvjMTjSsKhE6nEzYB2L1O2Y12CfddlCbgMo6yez9hH3v+RNiwfrQEM38U3jdg2INrAwCj+dxvBRAEN9/Jxq81ve35JWk8op4//1UT0OQKs8avKox/izs2wT3mz73r9pcdrQ5lzb963c8WtkxjLg7W/k+QLUI0Y3grAAfh+HqNlpS2U/g4VzMagINx7/PgE7qEb6LLJM9Urx/k0hQbDEq/z+0vvMeyvfqz33rqg8oDfNdf3b2xU5m3+3PC5kPdf3KXG+NJ+UD3XmHQ/QdrvvQs86ZF7Zd+61evjlaXG/MYdyL0I+iZoB3hWwHYPqb0048i74AvAuBB1zb+1Yxyw0c8rTF//Kk06TPV4wa0R1j1gDfisPe9KYUj3ncfqufQsH6sU5fHt2Fe0nqkhpPr8Ve37nVw11fd9YNVD9h24a1Tj/su+tbBWk7kZUZfAPjOF6r95+8uPdrr3PlhF+ffo/FO6Gec2zzKmQVj/vpTabzLvWN4vedsgpuH+xn6FzVv6E+3+3DXBzrfXfuO650I/P/V5Q1oObmgcHLBrVtz51cFg3+OwqUH/p0I7n3K2s45uP8XKfxp4P7vxO8JADwygCEIgiAIAAaAIQiCIAgAhiAIgiAAGACGIAiCIAAYgiAIggDgIoD/CQBDEARBUAnAu/M//98/JtX//vP8n7aGoRAEQRD0hQD+z/nf/5xY+QIYAIYgCIIgD8B/z3MCn/89qc7n/xz+tfgDAEMQBEGQBfC/cgJP3T31/x7mf4cAMARBEAQ5ABOBp9Z8/vcCAIYgCIIgB+CcwH//a2r9TT0xAGAIgiAIcgB+iKgrBgAMQRAEQaXGk9PjF/yFIAiCIANgWgM/Rn/+oCckBEEQBDkC53ogfgFgCIIgCAB+Yh9zCIIgCAKBH0hf8BeCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiaTv8/j614OKjcBRwAAAAASUVORK5CYII="], 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and cost planning.\r\n\r\nThe service addresses common early-stage challenges such as:\r\n\r\n* unclear clinical project scope,\r\n* regulatory and evidence uncertainty,\r\n* identification of suitable Charit\u00e9 stakeholders,\r\n* and limited transparency regarding feasibility, timelines and costs.\r\n\r\nActivities include:\r\n\r\n* review of product, project and scientific documentation,\r\n* identification and initial engagement of relevant Charit\u00e9 stakeholders,\r\n* initial assessment of clinical, operational and regulatory project requirements,\r\n* development of project roadmaps,\r\n* and preliminary cost and implementation planning.\r\n\r\nDepending on project maturity and requirements, the service may include integration with:\r\n\r\n* clinical departments,\r\n* institute of medical informatics,\r\n* data and research infrastructure,\r\n* regulatory and ethics interfaces,\r\n* and operational study support structures.\r\n\r\nThe service is designed to establish a structured basis for future clinical validation, PMCF, real-world data or implementation projects within complex hospital environments.", "description_html": "<p>CEED supports startups, SMEs and healthcare technology companies in the structured preparation of clinical, operational and regulatory projects within the Charit\u00e9 ecosystem.</p>\n<p>The service focuses on creating a structured foundation for subsequent clinical project implementation, including:</p>\n<ul>\n<li>project scoping,</li>\n<li>documentation review,</li>\n<li>stakeholder alignment,</li>\n<li>clinical and regulatory assessment,</li>\n<li>and project and cost planning.</li>\n</ul>\n<p>The service addresses common early-stage challenges such as:</p>\n<ul>\n<li>unclear clinical project scope,</li>\n<li>regulatory and evidence uncertainty,</li>\n<li>identification of suitable Charit\u00e9 stakeholders,</li>\n<li>and limited transparency regarding feasibility, timelines and costs.</li>\n</ul>\n<p>Activities 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"name": "Clinical Investigation & Studies"}, {"id": 60, "name": "Clinical Investigation & Trials"}, {"id": 1, "name": "Consulting"}, {"id": 22, "name": "Initial Needs Assessment"}, {"id": 17, "name": "Regulatory, Assessment & Compliance"}, {"id": 52, "name": "Regulatory Roadmap & Gap Analysis"}, {"id": 8, "name": "Strategic & Business Enablement"}, {"id": 23, "name": "Service Recommendation & Routing"}, {"id": 5, "name": "Regulatory & Certification"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "consulting", "name": "Consulting"}, {"code": "regulatory_certification", "name": "Regulatory & Certification"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "fix price", "full_price": "17.500 \u20ac", "reduced_price": "9515", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs", "tier2.regulatory_roadmap"]}, {"id": 495, "name": "User-Centered Evaluation (Human-AI Collaboration)", "unique_identifier": "f4e92a61-ae33-44f4-a229-f24bd881c881", "description": "This module evaluates whether AI-generated explanations and outputs are understandable, usable, and actionable for the intended human stakeholders (e.g., clinicians, radiologists, patients). The module examines usability, perceived fairness, responsibility & control (human vs. AI), cognitive load, and the emotional and ethical impact of AI in the clinical context.\r\n\r\nMethod Description\r\nThe evaluation employs established usability and human-centered AI methods, which may include:\r\n    \u2022 Heuristic evaluation: Expert review of AI interfaces against usability, user experience & design principles\r\n    \u2022 Cognitive walkthrough: Task-based analysis of how users would interpret and act on AI outputs (e.g. at critical decision points, including situations where human and AI recommendations diverge)\r\n    \u2022 User studies (optional, scope-dependent): Structured interviews, think-aloud protocols, or questionnaire-based assessment with representative end users to capture variables like understanding, trust, and perceived fairness.\r\n    \u2022 Quantitative measurements: Trust and workload assessments to quantify trust calibration and cognitive load.\r\n    \u2022 Scenario-based evaluation of clinical workflows for edge cases and high-risk situations, to assess human oversight and potential over-/under-reliance on AI\r\n    \u2022 Workshops (optional, scope-dependent): Value- and risk-focused workshop with different stakeholders to investigate risks, and requirements for human oversight.\r\n\r\nThe specific methods applied are tailored to the customer's use case, user groups, and available resources.\r\n\r\nEvaluation Outcomes\r\n\r\nPositive Indicators\r\n    \u2022 Explanation quality: Explanations are comprehensible to the intended user group without requiring AI expertise. Users can appropriately calibrate trust based on provided explanations. Explanation format and complexity match clinical workflow requirements\r\n    \u2022 Roles and responsibilities between humans and the AI system are clearly understood and accepted by users\r\n    \u2022 Users perceive the systems behaviour and explanations as fair and aligned with clinical values and ethical standards\r\n\r\nNegative Indicators\r\n    \u2022 Explanation quality: Explanations are misleading, overly technical, or ambiguous. Users misinterpret explanations or develop inappropriate trust/distrust. Explanation presentation disrupts clinical workflow or decision-making\r\n    \u2022 Unclear responsibility between human and AI leads to uncertainty in high-stakes decisions or error handling\r\n    \u2022 AI is perceived as biased or unfair toward certain patient groups\r\n    \u2022 Increased stress, uncertainty, or ethical issues among clinicians or patients due to the AI system\r\n\r\nThis service is delivered by Fraunhofer HHI as a TEF-Health partner. Fraunhofer HHI provides:\r\n    \u2022 Dedicated compute infrastructure\r\n    \u2022 In-house proprietary XAI and evaluation software\r\n    \u2022 Expert scientific and technical support across all evaluation modules", "description_html": "<p>This module evaluates whether AI-generated explanations and outputs are understandable, usable, and actionable for the intended human stakeholders (e.g., clinicians, radiologists, patients). The module examines usability, perceived fairness, responsibility &amp; control (human vs. AI), cognitive load, and the emotional and ethical impact of AI in the clinical context.</p>\n<p>Method Description\nThe evaluation employs established usability and human-centered AI methods, which may include:\n    \u2022 Heuristic evaluation: Expert review of AI interfaces against usability, user experience &amp; design principles\n    \u2022 Cognitive walkthrough: Task-based analysis of how users would interpret and act on AI outputs (e.g. at critical decision points, including situations where human and AI recommendations diverge)\n    \u2022 User studies (optional, scope-dependent): Structured interviews, think-aloud protocols, or questionnaire-based assessment with representative end users to capture variables like understanding, trust, and perceived fairness.\n    \u2022 Quantitative measurements: Trust and workload assessments to quantify trust calibration and cognitive load.\n    \u2022 Scenario-based evaluation of clinical workflows for edge cases and high-risk situations, to assess human oversight and potential over-/under-reliance on AI\n    \u2022 Workshops (optional, scope-dependent): Value- and risk-focused workshop with different stakeholders to investigate risks, and requirements for human oversight.</p>\n<p>The specific methods applied are tailored to the customer's use case, user groups, and available resources.</p>\n<p>Evaluation Outcomes</p>\n<p>Positive Indicators\n    \u2022 Explanation quality: Explanations are comprehensible to the intended user group without requiring AI expertise. Users can appropriately calibrate trust based on provided explanations. Explanation format and complexity match clinical workflow requirements\n    \u2022 Roles and responsibilities between humans and the AI system are clearly understood and accepted by users\n    \u2022 Users perceive the systems behaviour and explanations as fair and aligned with clinical values and ethical standards</p>\n<p>Negative Indicators\n    \u2022 Explanation quality: Explanations are misleading, overly technical, or ambiguous. Users misinterpret explanations or develop inappropriate trust/distrust. Explanation presentation disrupts clinical workflow or decision-making\n    \u2022 Unclear responsibility between human and AI leads to uncertainty in high-stakes decisions or error handling\n    \u2022 AI is perceived as biased or unfair toward certain patient groups\n    \u2022 Increased stress, uncertainty, or ethical issues among clinicians or patients due to the AI system</p>\n<p>This service is delivered by Fraunhofer HHI as a TEF-Health partner. Fraunhofer HHI provides:\n    \u2022 Dedicated compute infrastructure\n    \u2022 In-house proprietary XAI and evaluation software\n    \u2022 Expert scientific and technical support across all evaluation modules</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}, {"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 13, "name": "Transparency and provision of information to deployers", "code": "art_13", "number": "Art. 13"}, {"id": 14, "name": "Human oversight", "code": "art_14", "number": "Art. 14"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 62, "name": "Usability Testing (Formative/Summative)"}, {"id": 20, "name": "Clinical Usability & Validation"}, {"id": 41, "name": "Explainability & Fairness Testing"}, {"id": 3, "name": "Software & AI"}, {"id": 6, "name": "Clinical"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}, {"code": "clinical", "name": "Clinical"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "", "full_price": "", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise"]}, {"id": 496, "name": "Uncertainty Quantification Analysis", "unique_identifier": "f7b4856d-1d57-4a4a-93d4-6c9a3d451475", "description": "This module assesses whether the uncertainty estimates provided by an AI model are well-calibrated, meaningful, and suitable for supporting safe decision-making in clinical or high-stakes contexts.\r\n\r\nThe customer-provided model's uncertainty outputs (e.g., confidence scores, predictive distributions, epistemic/aleatoric uncertainty estimates) are evaluated for calibration, sharpness, and reliability. Evaluation can be performed with or without ground truth labels, depending on availability:\r\n    \u2022 With ground truths: Direct assessment of uncertainty quality can be conducted by evaluating how well uncertainty scores align with truly uncertain outcomes. This includes analysis on real out-of-distribution (OOD) samples and ambiguous cases (e.g., annotator disagreement), enabling a precise evaluation of whether high uncertainty corresponds to genuinely difficult or uncertain predictions.\r\n    \u2022 Without ground truths: Proxy tasks can be employed to assess uncertainty quantification capabilities, including synthetic out-of-distribution sample generation, Expected Calibration Error (ECE), Prediction Rejection Ratio (PRR) analysis, and correctness prediction assessment. While less direct, these approaches still provide meaningful insights into model uncertainty quality.\r\n\r\nEvaluation Outcomes:\r\n\r\nPositive Indicators\r\n    \u2022 Well-calibrated confidence scores (predicted probabilities reflect true outcome frequencies)\r\n    \u2022 Appropriate uncertainty increases for ambiguous, atypical, or out-of-distribution inputs\r\n    \u2022 Meaningful separation between epistemic and aleatoric uncertainty (if applicable)\r\n\r\nNegative Indicators\r\n    \u2022 Overconfident predictions on uncertain or out-of-distribution cases\r\n    \u2022 Poorly calibrated probability estimates\r\n    \u2022 Uncertainty scores that do not correlate with prediction errors", "description_html": "<p>This module assesses whether the uncertainty estimates provided by an AI model are well-calibrated, meaningful, and suitable for supporting safe decision-making in clinical or high-stakes contexts.</p>\n<p>The customer-provided model's uncertainty outputs (e.g., confidence scores, predictive distributions, epistemic/aleatoric uncertainty estimates) are evaluated for calibration, sharpness, and reliability. Evaluation can be performed with or without ground truth labels, depending on availability:\n    \u2022 With ground truths: Direct assessment of uncertainty quality can be conducted by evaluating how well uncertainty scores align with truly uncertain outcomes. This includes analysis on real out-of-distribution (OOD) samples and ambiguous cases (e.g., annotator disagreement), enabling a precise evaluation of whether high uncertainty corresponds to genuinely difficult or uncertain predictions.\n    \u2022 Without ground truths: Proxy tasks can be employed to assess uncertainty quantification capabilities, including synthetic out-of-distribution sample generation, Expected Calibration Error (ECE), Prediction Rejection Ratio (PRR) analysis, and correctness prediction assessment. While less direct, these approaches still provide meaningful insights into model uncertainty quality.</p>\n<p>Evaluation Outcomes:</p>\n<p>Positive Indicators\n    \u2022 Well-calibrated confidence scores (predicted probabilities reflect true outcome frequencies)\n    \u2022 Appropriate uncertainty increases for ambiguous, atypical, or out-of-distribution inputs\n    \u2022 Meaningful separation between epistemic and aleatoric uncertainty (if applicable)</p>\n<p>Negative Indicators\n    \u2022 Overconfident predictions on uncertain or out-of-distribution cases\n    \u2022 Poorly calibrated probability estimates\n    \u2022 Uncertainty scores that do not correlate with prediction errors</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}, {"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 41, "name": "Explainability & Fairness Testing"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "", "full_price": "", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 497, "name": "Explainability Assessment (XAI)", "unique_identifier": "022ec2b4-00b0-4978-9060-9247bac5166b", "description": "This module evaluates whether an AI model's decisions are based on meaningful, domain-relevant features or whether the model relies on undesired shortcuts and spurious correlations.\r\nThe customer-provided AI model is analysed on a supplied test dataset using established explainable AI techniques, including attribution methods (e.g., LRP, CRP), concept-based explanations, and feature importance analysis. The evaluation identifies which input features drive model predictions and assesses their alignment with domain knowledge.\r\n\r\nOutcomes can be:\r\nPositive Indicators\r\n    \u2022 Alignment of model explanations with established domain knowledge\r\n    \u2022 Transparent and interpretable decision patterns\r\n    \u2022 Consistent reliance on clinically/scientifically relevant features\r\n\r\nNegative Indicators\r\n    \u2022 Detection of spurious correlations or shortcut learning (e.g., \u201cClever Hans\u201d behaviour)\r\n    \u2022 Reliance on irrelevant, confounding, or artefactual input features\r\n    \u2022 Inconsistent explanation patterns across similar cases", "description_html": "<p>This module evaluates whether an AI model's decisions are based on meaningful, domain-relevant features or whether the model relies on undesired shortcuts and spurious correlations.\nThe customer-provided AI model is analysed on a supplied test dataset using established explainable AI techniques, including attribution methods (e.g., LRP, CRP), concept-based explanations, and feature importance analysis. The evaluation identifies which input features drive model predictions and assesses their alignment with domain knowledge.</p>\n<p>Outcomes can be:\nPositive Indicators\n    \u2022 Alignment of model explanations with established domain knowledge\n    \u2022 Transparent and interpretable decision patterns\n    \u2022 Consistent reliance on clinically/scientifically relevant features</p>\n<p>Negative Indicators\n    \u2022 Detection of spurious correlations or shortcut learning (e.g., \u201cClever Hans\u201d behaviour)\n    \u2022 Reliance on irrelevant, confounding, or artefactual input features\n    \u2022 Inconsistent explanation patterns across similar cases</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "", "categories": [{"id": 1, "name": "Physical", "code": "physical"}, {"id": 2, "name": "Consulting", "code": "consulting"}, {"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 13, "name": "Transparency and provision of information to deployers", "code": "art_13", "number": "Art. 13"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 41, "name": "Explainability & Fairness Testing"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "", "full_price": "", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 335, "name": "C-Technological Solutions & Documentation", "domain": "Technological"}, {"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 498, "name": "AI Model Validation", "unique_identifier": "3f994e4b-8629-4200-8ec5-a3044f900a61", "description": "This service provides systematic validation and quality assessment of artificial intelligence and machine learning (AI/ML) models.\r\nThe goal is to objectively assess model performance, robustness, and reliability under controlled and reproducible conditions, supporting trustworthy AI development and deployment.\r\nThe provided AI/ML model is evaluated against a user\u2011supplied test dataset using established validation methodologies.\r\nBased on the assessment results, a comprehensive validation report is generated, summarizing quantitative performance metrics and key quality indicators.\r\nThe validation process follows state\u2011of\u2011the\u2011art scientific approaches and ensures transparency and reproducibility of results.\r\nThe service delivers a set of quantitative AI/ML performance metrics, which may include (depending on the use case and model type):\r\n    \u2022 Model accuracy and error measures\r\n    \u2022 Sensitivity, specificity, precision, recall, and related metrics\r\n    \u2022 Additional task\u2011specific or domain\u2011relevant performance indicators", "description_html": "<p>This service provides systematic validation and quality assessment of artificial intelligence and machine learning (AI/ML) models.\nThe goal is to objectively assess model performance, robustness, and reliability under controlled and reproducible conditions, supporting trustworthy AI development and deployment.\nThe provided AI/ML model is evaluated against a user\u2011supplied test dataset using established validation methodologies.\nBased on the assessment results, a comprehensive validation report is generated, summarizing quantitative performance metrics and key quality indicators.\nThe validation process follows state\u2011of\u2011the\u2011art scientific approaches and ensures transparency and reproducibility of results.\nThe service delivers a set of quantitative AI/ML performance metrics, which may include (depending on the use case and model type):\n    \u2022 Model accuracy and error measures\n    \u2022 Sensitivity, specificity, precision, recall, and related metrics\n    \u2022 Additional task\u2011specific or domain\u2011relevant performance indicators</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "", "categories": [{"id": 1, "name": "Physical", "code": "physical"}, {"id": 2, "name": "Consulting", "code": "consulting"}, {"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}, {"id": 7, "name": "Operations & Monitoring", "code": "operation", "number": 7}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}, {"id": 16, "name": "Approved prototype", "number": 7}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "", "full_price": "", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [{"id": 26, "name": "AI Act", "code": false}, {"id": 8, "name": "CE Marking", "code": false}], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.ai_cybersecurity", "tier2.verification_validation_testing"]}, {"id": 499, "name": "AI Model Training and Testing", "unique_identifier": "c227fb1f-15ca-469d-8bf0-45c3c0e22d7e", "description": "This service supports the development, training, and systematic testing of AI and machine learning models in a controlled experimental environment.\r\nIt enables technology providers to improve model performance, robustness, and generalization by combining structured training workflows with rigorous testing and evaluation procedures prior to deployment or further validation steps.\r\n\u00a0\r\nThe service covers the supervised training and testing of AI/ML models using customer\u2011provided data and problem specifications.\r\nDepending on the use case, model training is performed using established machine learning and deep learning methods, followed by structured testing on independent datasets.\u2028Testing and evaluation activities focus on assessing model performance, stability, and generalization behaviour under defined conditions.\r\nThe process and results are documented in a technical report, supporting iterative model improvement and downstream validation or certification activities.\r\n\r\nThe service applies state\u2011of\u2011the\u2011art methods from applied machine learning and experimental AI research, following best practices for data handling, model training, and performance evaluation as commonly used in academic and industrial AI development.\r\n\u00a0\r\nDepending on the task and model type, evaluation outcomes may include:\r\n    \u2022 Quantitative performance metrics (e.g. accuracy, error measures, task\u2011specific scores)\r\n    \u2022 Evidence of improved generalization on held\u2011out test data\r\n    \u2022 Identification of performance limitations, failure modes, or data\u2011related issue\r\n\r\nThis service is offered by Fraunhofer HHI.", "description_html": "<p>This service supports the development, training, and systematic testing of AI and machine learning models in a controlled experimental environment.\nIt enables technology providers to improve model performance, robustness, and generalization by combining structured training workflows with rigorous testing and evaluation procedures prior to deployment or further validation steps.\n&nbsp;\nThe service covers the supervised training and testing of AI/ML models using customer\u2011provided data and problem specifications.\nDepending on the use case, model training is performed using established machine learning and deep learning methods, followed by structured testing on independent datasets.\u2028Testing and evaluation activities focus on assessing model performance, stability, and generalization behaviour under defined conditions.\nThe process and results are documented in a technical report, supporting iterative model improvement and downstream validation or certification activities.</p>\n<p>The service applies state\u2011of\u2011the\u2011art methods from applied machine learning and experimental AI research, following best practices for data handling, model training, and performance evaluation as commonly used in academic and industrial AI development.\n&nbsp;\nDepending on the task and model type, evaluation outcomes may include:\n    \u2022 Quantitative performance metrics (e.g. accuracy, error measures, task\u2011specific scores)\n    \u2022 Evidence of improved generalization on held\u2011out test data\n    \u2022 Identification of performance limitations, failure modes, or data\u2011related issue</p>\n<p>This service is offered by Fraunhofer HHI.</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "", "categories": [{"id": 1, "name": "Physical", "code": "physical"}, {"id": 2, "name": "Consulting", "code": "consulting"}, {"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [{"id": 3, "name": "AI Development & Digital Engineering", "code": "build", "number": 3}, {"id": 4, "name": "Technical Testing & Validation", "code": "test", "number": 4}, {"id": 5, "name": "Clinical Testing & Real-World Evaluation", "code": "clinical_eval", "number": 5}], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [{"id": 12, "name": "Proof of concept", "number": 3}, {"id": 13, "name": "Pre-prototype", "number": 4}, {"id": 14, "name": "Pre-prototype tested in lab", "number": 5}, {"id": 15, "name": "Prototype tested in relevant environment", "number": 6}], "medical_domains": [], "ontology_categories": [{"id": 13, "name": "Algorithm & AI Engineering"}, {"id": 39, "name": "Algorithm Development & Optimization"}, {"id": 40, "name": "AI Model Evaluation & Benchmarking"}, {"id": 3, "name": "Software & AI"}], "ontology_domains": [{"code": "software_ai", "name": "Software & AI"}], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "", "full_price": "", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 336, "name": "V-Model & Algorithm (Development, Optimization & Evaluation, etc.)", "domain": "Model"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.verification_validation_testing"]}, {"id": 500, "name": "AI Model Forge \u2013 Secure Training on Clinical-Grade Data", "unique_identifier": "7b96a4f1-5819-4f01-8b76-44d9024dace9", "description": "**Who Can Benefit:**\r\n- MedTech & Digital Health Companies: For developing high-performance AI models on sensitive clinical data without cloud dependency or data sovereignty concerns.\r\n- Research Groups: For leveraging state-of-the-art computing infrastructure and ML expertise to accelerate model development.\r\n- Startups: For accessing enterprise-grade training infrastructure and clinical AI expertise without heavy upfront investment.\r\n\r\n**Key Features:**\r\n- End-to-end ML/DL pipeline development: data preprocessing, feature engineering, model architecture design, training, and hyperparameter optimization\r\n- Support in developing RAG Systems and Agentic AI: on-premise infrastructure for deployment and limited fine-tuning.\r\n- Secure on-premises computing clusters at the highest data security standards \u2013 no cloud computing required\r\n- Access to the High-Performance Computing (HPC) cluster at FAU Erlangen-N\u00fcrnberg for large-scale training workloads\r\n- Rigorous testing methodology including cross-validation, holdout testing, and subgroup performance analysis\r\n- Clinical domain experts from affiliated clinics ensure models are grounded in medical reality and provide valuable feedback for algorithm improvements\r\n\r\n**Possible Applications:**\r\n- Digital Biomarker Development (e.g. Cardiology): Training models to detect arrhythmias, atrial fibrillation, or heart failure decompensation from wearable ECG or PPG signals.\r\n- Biomechanical Movement Classification: Building AI models for automated gait pattern recognition, fall risk scoring, or joint load estimation from inertial sensor data collected in motion labs.\r\n- Neurological Disorder Detection: Developing classifiers for tremor subtypes, seizure prediction, or cognitive decline indicators based on neurophysiological signals.\r\n- Athletic Performance Optimization: Training models that quantify fatigue, predict overtraining, or recommend personalized load adjustments based on biomechanical and physiological sensor fusion.\r\n- Injury Risk Prediction & Rehabilitation Monitoring: Building predictive models that identify musculoskeletal injury risk factors or track recovery trajectories from sensor-based movement assessments.\r\n- Sports Science Analytics: Developing AI-driven analysis tools for technique evaluation, energy expenditure estimation, or real-time performance feedback during training sessions.\r\n- Predictive Patient Monitoring: Training early-warning models for clinical deterioration, therapy non-response, or adverse events from continuous physiological data streams.\r\n- Synthetization and Transfer of AI Model to Edge Device: Re-training and quantizing an ML/DL/AI algorithm, so it can be run on an edge device (e.g. wearable), while optimizing performance (inference accuracy, energy consumption per inference, latency etc.)\r\n\r\n**Who We Are:**\r\nThe **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **\"Center for Sensor Technology and Digital Medicine\" (CEMDIS)** in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support  **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).", "description_html": "<p><strong>Who Can Benefit:</strong>\n- MedTech &amp; Digital Health Companies: For developing high-performance AI models on sensitive clinical data without cloud dependency or data sovereignty concerns.\n- Research Groups: For leveraging state-of-the-art computing infrastructure and ML expertise to accelerate model development.\n- Startups: For accessing enterprise-grade training infrastructure and clinical AI expertise without heavy upfront investment.</p>\n<p><strong>Key Features:</strong>\n- End-to-end ML/DL pipeline development: data preprocessing, feature engineering, model architecture design, training, and hyperparameter optimization\n- Support in developing RAG Systems and Agentic AI: on-premise infrastructure for deployment and limited fine-tuning.\n- Secure on-premises computing clusters at the highest data security standards \u2013 no cloud computing required\n- Access to the High-Performance Computing (HPC) cluster at FAU Erlangen-N\u00fcrnberg for large-scale training workloads\n- Rigorous testing methodology including cross-validation, holdout testing, and subgroup performance analysis\n- Clinical domain experts from affiliated clinics ensure models are grounded in medical reality and provide valuable feedback for algorithm improvements</p>\n<p><strong>Possible Applications:</strong>\n- Digital Biomarker Development (e.g. Cardiology): Training models to detect arrhythmias, atrial fibrillation, or heart failure decompensation from wearable ECG or PPG signals.\n- Biomechanical Movement Classification: Building AI models for automated gait pattern recognition, fall risk scoring, or joint load estimation from inertial sensor data collected in motion labs.\n- Neurological Disorder Detection: Developing classifiers for tremor subtypes, seizure prediction, or cognitive decline indicators based on neurophysiological signals.\n- Athletic Performance Optimization: Training models that quantify fatigue, predict overtraining, or recommend personalized load adjustments based on biomechanical and physiological sensor fusion.\n- Injury Risk Prediction &amp; Rehabilitation Monitoring: Building predictive models that identify musculoskeletal injury risk factors or track recovery trajectories from sensor-based movement assessments.\n- Sports Science Analytics: Developing AI-driven analysis tools for technique evaluation, energy expenditure estimation, or real-time performance feedback during training sessions.\n- Predictive Patient Monitoring: Training early-warning models for clinical deterioration, therapy non-response, or adverse events from continuous physiological data streams.\n- Synthetization and Transfer of AI Model to Edge Device: Re-training and quantizing an ML/DL/AI algorithm, so it can be run on an edge device (e.g. wearable), while optimizing performance (inference accuracy, energy consumption per inference, latency etc.)</p>\n<p><strong>Who We Are:</strong>\nThe <strong>Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)</strong> has established the <strong>Center for Sensor Technology and Digital Medicine (CEMDIS)</strong> in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through <strong>innovative sensor technology</strong> and <strong>digital solutions</strong>. This center focuses on integrating <strong>innovative medical technologies</strong> such as <strong>wearables</strong> and <strong>robotic systems</strong> to support  <strong>medical diagnostics</strong>, <strong>patient monitoring</strong> and <strong>evaluating patient-specific therapies</strong> by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the <strong>development</strong>, <strong>integration</strong>, and <strong>validation</strong> of novel health technologies, providing companies opportunities for <strong>technological advancements</strong>. For more information, visit the <a href=\"https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html\">Fraunhofer IIS website</a>.</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "", "categories": [{"id": 2, "name": "Consulting", "code": "consulting"}, {"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}, {"id": 11, "name": "Technical documentation", "code": "art_11", "number": "Art. 11"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [], "medical_domains": [], "ontology_categories": [], "ontology_domains": [], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "97 - 160EUR", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 343, "name": "C-Expert Medical Opinion", "domain": "Expert"}, {"id": 352, "name": "C-Scientific & Medical Communication", "domain": "Scientific"}, {"id": 357, "name": "C-Clinical Investigation Support (clinical studies & trials, coordination, design, feasibility, documentation, compliance, operations support, etc.)", "domain": "Clinical"}, {"id": 363, "name": "V-Platform (trusted research environment, authentication federation, etc.)", "domain": "Platform"}, {"id": 364, "name": "V-Infrastructure (compute, storage, network, HPC, etc.)", "domain": "Infrastructure"}, {"id": 369, "name": "V-Testing Conformity & Compliance Data (transparency, privacy, fairness, accountability, etc.)", "domain": "Testing"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.verification_validation_testing"]}, {"id": 501, "name": "Patient-to-Pipeline: Regulatory-Compliant Clinical Data Collection", "unique_identifier": "b79e58ca-8fba-4700-97f4-b4490031e371", "description": "**Who Can Benefit:**\r\n- MedTech & AI Companies: For obtaining high-quality, ethically sourced clinical datasets to fuel algorithm development without navigating hospital bureaucracy.\r\n- Clinical Researchers: For systematic, regulation-compliant data collection with full documentation and audit trail.\r\n\r\n**Key Features:**\r\n- End-to-end management of ethical approval processes (ethics committee submission, informed consent design)\r\n- Prospective data collection within Universit\u00e4tsklinikum Erlangen clinical departments\r\n- Expert clinical annotation and ground truth labeling by domain specialists\r\n- Full GDPR compliance with pseudonymization/anonymization pipelines\r\n- Structured data output compatible with downstream AI training and analysis workflows\r\n\r\n**Possible Applications:**\r\n- Wearable Sensor Studies (e.g. Cardiology): Prospective collection of continuous ECG, PPG, or blood pressure data from cardiac patients for digital biomarker development and remote monitoring algorithm training.\r\n- Motion & Gait Analysis (Biomechanics): Systematic acquisition of IMU, force plate, and motion capture data in clinical and sports lab settings for movement disorder assessment, rehabilitation tracking, or athletic performance evaluation.\r\n- Neurological Signal Acquisition: Collection of EEG, EMG, or tremor sensor data from neurological patient cohorts to support AI-based diagnostic or therapy monitoring tools.\r\n- Real-World Evidence Datasets: Longitudinal data collection from ambulatory patients in everyday settings, enabling the development of algorithms that generalize beyond controlled lab environments.\r\n- Athletic Performance & Injury Prevention: Structured data gathering during sports science testing protocols to build datasets for injury risk prediction, load monitoring, and return-to-play decision support.\r\n- Multi-Modal Clinical Datasets: Combined collection of sensor data, imaging, lab values, and patient-reported outcomes to enable holistic, multi-modal AI model development.\r\n\r\n**Who We Are:**\r\nThe **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **\"Center for Sensor Technology and Digital Medicine\" (CEMDIS)** in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support  **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).", "description_html": "<p><strong>Who Can Benefit:</strong>\n- MedTech &amp; AI Companies: For obtaining high-quality, ethically sourced clinical datasets to fuel algorithm development without navigating hospital bureaucracy.\n- Clinical Researchers: For systematic, regulation-compliant data collection with full documentation and audit trail.</p>\n<p><strong>Key Features:</strong>\n- End-to-end management of ethical approval processes (ethics committee submission, informed consent design)\n- Prospective data collection within Universit\u00e4tsklinikum Erlangen clinical departments\n- Expert clinical annotation and ground truth labeling by domain specialists\n- Full GDPR compliance with pseudonymization/anonymization pipelines\n- Structured data output compatible with downstream AI training and analysis workflows</p>\n<p><strong>Possible Applications:</strong>\n- Wearable Sensor Studies (e.g. Cardiology): Prospective collection of continuous ECG, PPG, or blood pressure data from cardiac patients for digital biomarker development and remote monitoring algorithm training.\n- Motion &amp; Gait Analysis (Biomechanics): Systematic acquisition of IMU, force plate, and motion capture data in clinical and sports lab settings for movement disorder assessment, rehabilitation tracking, or athletic performance evaluation.\n- Neurological Signal Acquisition: Collection of EEG, EMG, or tremor sensor data from neurological patient cohorts to support AI-based diagnostic or therapy monitoring tools.\n- Real-World Evidence Datasets: Longitudinal data collection from ambulatory patients in everyday settings, enabling the development of algorithms that generalize beyond controlled lab environments.\n- Athletic Performance &amp; Injury Prevention: Structured data gathering during sports science testing protocols to build datasets for injury risk prediction, load monitoring, and return-to-play decision support.\n- Multi-Modal Clinical Datasets: Combined collection of sensor data, imaging, lab values, and patient-reported outcomes to enable holistic, multi-modal AI model development.</p>\n<p><strong>Who We Are:</strong>\nThe <strong>Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)</strong> has established the <strong>Center for Sensor Technology and Digital Medicine (CEMDIS)</strong> in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through <strong>innovative sensor technology</strong> and <strong>digital solutions</strong>. This center focuses on integrating <strong>innovative medical technologies</strong> such as <strong>wearables</strong> and <strong>robotic systems</strong> to support  <strong>medical diagnostics</strong>, <strong>patient monitoring</strong> and <strong>evaluating patient-specific therapies</strong> by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the <strong>development</strong>, <strong>integration</strong>, and <strong>validation</strong> of novel health technologies, providing companies opportunities for <strong>technological advancements</strong>. For more information, visit the <a href=\"https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html\">Fraunhofer IIS website</a>.</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "", "categories": [{"id": 1, "name": "Physical", "code": "physical"}, {"id": 2, "name": "Consulting", "code": "consulting"}, {"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 10, "name": "Data and data governance", "code": "art_10", "number": "Art. 10"}], "mdr_classes": [], "trl_levels": [], "medical_domains": [{"id": 19, "name": "General Medicine", "code": ""}, {"id": 1, "name": "Hepatology / Gastroenterology", "code": "GAST"}, {"id": 29, "name": "Neuromuscular diseases", "code": ""}, {"id": 22, "name": "orthopedics", "code": ""}, {"id": 21, "name": "physiotherapy", "code": ""}, {"id": 20, "name": "Rehabilitation", "code": ""}, {"id": 3, "name": "Nephrology", "code": "NEPH"}, {"id": 5, "name": "Emergency Medicine (ICU)", "code": "EMER"}, {"id": 6, "name": "Radiology", "code": "RADI"}, {"id": 7, "name": "Cardiology", "code": "CARD"}, {"id": 9, "name": "Surgery", "code": "SURG"}, {"id": 10, "name": "Neurology", "code": "NEUR"}, {"id": 11, "name": "Oncology", "code": "ONCO"}, {"id": 15, "name": "Gynecology / Obstetrics", "code": "GYOB"}], "ontology_categories": [], "ontology_domains": [], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "97 - 160EUR", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [{"id": 334, "name": "C-Research & Development", "domain": "Research"}, {"id": 338, "name": "V-Data Processing (curation, preprocessing & standardization, mining, visualization, anonymization, FAIR, etc.)", "domain": "Data"}, {"id": 345, "name": "C-Ethics & Regulatory Affairs (ethics board approval, legal requirements, ...)", "domain": "Ethics"}, {"id": 351, "name": "V-Data Provisioning (real world and synthetic)", "domain": "Data"}, {"id": 357, "name": "C-Clinical Investigation Support (clinical studies & trials, coordination, design, feasibility, documentation, compliance, operations support, etc.)", "domain": "Clinical"}, {"id": 359, "name": "P-Testing Facility Real-World (ER, OR, ICU, office, ambulance, ward, patient home, etc.)", "domain": "Testing"}, {"id": 360, "name": "P-Testing Laboratory (bioanalysis, wet lab, *-omics, etc.)", "domain": "Testing"}, {"id": 370, "name": "C-Clinical Investigation Support (coordination, design, feasibility, documentation,compliance, operations support, etc.)", "domain": "Clinical"}], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.integration_hcs", "tier2.existing_data"]}, {"id": 502, "name": "Robot Reality Check: Clinical Test Environments for Social Robotics", "unique_identifier": "f07814a9-a87a-4353-a168-7424cb5d2c61", "description": "**Who Can Benefit:**\r\n- Robotics Companies: For testing and validating social robots and speech-enabled systems in realistic clinical environments before market entry.\r\n- AI & NLP Developers: For evaluating natural language interfaces on physical robotic platforms in real healthcare workflows.\r\n- Healthcare Institutions: For assessing how robotic systems perform in their specific clinical contexts before committing to procurement.\r\n- Research Groups: For conducting HRI studies in controlled yet realistic hospital settings with access to clinical staff and infrastructure.\r\n\r\n**Equipment / Robotics Platforms:**\r\n- SoftBank Robotics Pepper humanoid social robot designed for increased engagement with the patient via expressive upper body mechanics.\r\n- Temi mobile service robot designed for telepresence, guidance, and information delivery as well as conversational interactions.\r\n\r\n**Key Features:**\r\n- Access to a dedicated Real-Lab (Reallabor) providing hardware and clinical test environments for evaluating robotic systems in healthcare settings\r\n- Testing of NLP/speech-enabled robots in realistic clinical workflows with actual healthcare personnel\r\n- Evaluation infrastructure for both controlled laboratory experiments and in-situ ward-level assessments\r\n- Multi-disciplinary support combining robotics engineering, clinical expertise, and social science perspectives\r\n\r\n**Possible Applications:**\r\n- Ward Assistant Robot Testing: Evaluating mobile robots designed to support nursing staff with logistics, information delivery, or patient guidance in realistic hospital corridors and wards.\r\n- Speech Interface Validation: Testing natural language dialogue systems on robotic platforms in noisy, dynamic clinical environments to assess robustness and usability.\r\n- Staff Relief Assessment: Quantifying the cognitive, physical, and time-based relief potential of robotic systems for medical personnel through structured pilot studies.\r\n- Patient Interaction Evaluation: Assessing how patients (across age groups, health conditions, and tech literacy) respond to and interact with social robots in clinical settings.\r\n- Workflow Integration Testing: Evaluating how robotic systems integrate into existing clinical workflows without disruption, including edge cases and failure scenarios.\r\n- Multi-Robot Coordination: Testing multiple robotic systems operating simultaneously in shared clinical spaces.\r\n\r\n**Who We Are:**\r\nThe **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **\"Center for Sensor Technology and Digital Medicine\" (CEMDIS)** in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support  **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).", "description_html": "<p><strong>Who Can Benefit:</strong>\n- Robotics Companies: For testing and validating social robots and speech-enabled systems in realistic clinical environments before market entry.\n- AI &amp; NLP Developers: For evaluating natural language interfaces on physical robotic platforms in real healthcare workflows.\n- Healthcare Institutions: For assessing how robotic systems perform in their specific clinical contexts before committing to procurement.\n- Research Groups: For conducting HRI studies in controlled yet realistic hospital settings with access to clinical staff and infrastructure.</p>\n<p><strong>Equipment / Robotics Platforms:</strong>\n- SoftBank Robotics Pepper humanoid social robot designed for increased engagement with the patient via expressive upper body mechanics.\n- Temi mobile service robot designed for telepresence, guidance, and information delivery as well as conversational interactions.</p>\n<p><strong>Key Features:</strong>\n- Access to a dedicated Real-Lab (Reallabor) providing hardware and clinical test environments for evaluating robotic systems in healthcare settings\n- Testing of NLP/speech-enabled robots in realistic clinical workflows with actual healthcare personnel\n- Evaluation infrastructure for both controlled laboratory experiments and in-situ ward-level assessments\n- Multi-disciplinary support combining robotics engineering, clinical expertise, and social science perspectives</p>\n<p><strong>Possible Applications:</strong>\n- Ward Assistant Robot Testing: Evaluating mobile robots designed to support nursing staff with logistics, information delivery, or patient guidance in realistic hospital corridors and wards.\n- Speech Interface Validation: Testing natural language dialogue systems on robotic platforms in noisy, dynamic clinical environments to assess robustness and usability.\n- Staff Relief Assessment: Quantifying the cognitive, physical, and time-based relief potential of robotic systems for medical personnel through structured pilot studies.\n- Patient Interaction Evaluation: Assessing how patients (across age groups, health conditions, and tech literacy) respond to and interact with social robots in clinical settings.\n- Workflow Integration Testing: Evaluating how robotic systems integrate into existing clinical workflows without disruption, including edge cases and failure scenarios.\n- Multi-Robot Coordination: Testing multiple robotic systems operating simultaneously in shared clinical spaces.</p>\n<p><strong>Who We Are:</strong>\nThe <strong>Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)</strong> has established the <strong>Center for Sensor Technology and Digital Medicine (CEMDIS)</strong> in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through <strong>innovative sensor technology</strong> and <strong>digital solutions</strong>. This center focuses on integrating <strong>innovative medical technologies</strong> such as <strong>wearables</strong> and <strong>robotic systems</strong> to support  <strong>medical diagnostics</strong>, <strong>patient monitoring</strong> and <strong>evaluating patient-specific therapies</strong> by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the <strong>development</strong>, <strong>integration</strong>, and <strong>validation</strong> of novel health technologies, providing companies opportunities for <strong>technological advancements</strong>. For more information, visit the <a href=\"https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html\">Fraunhofer IIS website</a>.</p>", "service_provider": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_id": 519, "service_provider_logo": "", "service_provider_institution": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)", "service_provider_institution_id": 519, "service_provider_hierarchy": [{"id": 519, "name": "Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)"}], "logos": [], "service_category": "", "categories": [{"id": 1, "name": "Physical", "code": "physical"}, {"id": 2, "name": "Consulting", "code": "consulting"}, {"id": 3, "name": "Virtual", "code": "virtual"}], "lifecycle_stages": [], "ai_act_articles": [{"id": 9, "name": "Risk management system", "code": "art_9", "number": "Art. 9"}, {"id": 15, "name": "Accuracy, robustness and cybersecurity", "code": "art_15", "number": "Art. 15"}], "mdr_classes": [], "trl_levels": [], "medical_domains": [{"id": 27, "name": "Administrative", "code": ""}, {"id": 26, "name": "All medical domains", "code": ""}, {"id": 19, "name": "General Medicine", "code": ""}, {"id": 23, "name": "Nursing", "code": ""}, {"id": 20, "name": "Rehabilitation", "code": ""}], "ontology_categories": [], "ontology_domains": [], "checklist_items": [], "approved_call_ids": [], "service_origin": "internal", "service_provider_country": "Germany", "service_provider_country_flag": "\ud83c\udde9\ud83c\uddea", "service_provider_country_code": "DE", "billing": "per hour", "full_price": "97 - 160EUR", "reduced_price": "", "popularity": 0, "service_standard_legacy": "", "certification_support_legacy": "", "service_standards": [], "certification_ids": [], "offering_ids": [], "is_bookmarked": false, "is_selected": false, "user_flags": {"bookmark": false, "select": false}, "tier2_groups": ["tier2.clinical_expertise", "tier2.testing_facilities", "tier2.robotics"]}, {"id": 503, "name": "Independent AI Validation: From Black Box to Trusted Evidence", "unique_identifier": "c088349b-9996-4542-b637-87afee8cc82f", "description": "**Who Can Benefit:**\r\n- MedTech Companies Seeking Certification: For independent validation evidence required by notified bodies and regulatory authorities.\r\n- Clinical Decision-Makers: For objective assessment of AI tool performance before clinical adoption.\r\n- Quality & Regulatory Teams: For comprehensive documentation aligned with EU AI Act, MDR Annex XIV, and relevant AI standards.\r\n- Investors & Partners: For independent third-party performance verification as part of due diligence.\r\n\r\n**Key Features:**\r\n- Independent, unbiased evaluation of AI model performance on clinical data\r\n- Comprehensive quality assessment: accuracy, robustness, fairness, explainability, and failure mode analysis from established assessment framework\r\n- Alignment with regulatory frameworks (EU AI Act, MDR, FDA AI/ML guidance) and standards (ISO 24028, CLAIM checklist)\r\n- Secure on-premises evaluation \u2013 no cloud computing; models and data never leave secure infrastructure\r\n- Clinical relevance assessment by domain experts\r\n\r\n**Possible Applications:**\r\n- Fairness & Bias Audits: Independent assessment of whether AI models perform equitably across demographic subgroups (age, sex, ethnicity) in clinical and sports populations.\r\n- Pre-Submission Validation (MedTech): Independent performance verification of cardiac AI algorithms (e.g., arrhythmia detection) prior to MDR or FDA regulatory submission.\r\n- Post-Market Performance Monitoring: Periodic re-validation of deployed AI models to ensure sustained accuracy as patient populations or data acquisition hardware evolve.\r\n- Biomechanical AI Benchmarking: Objective validation of movement analysis algorithms against gold-standard motion capture in laboratory and real-world conditions.\r\n- Neurological AI Quality Assessment: Stress-testing seizure detection or tremor classification models across diverse patient populations and recording conditions.\r\n- Sports & Rehabilitation Algorithm Verification: Validating AI-based injury risk scores, return-to-play classifiers, or performance metrics against clinical expert assessments and ground truth outcomes.\r\n- Comparative Algorithm Studies: Head-to-head benchmarking of competing AI solutions on the same clinically curated dataset to support procurement or partnership decisions.\r\n\r\n**Who We Are:**\r\nThe **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **\"Center for Sensor Technology and Digital Medicine\" (CEMDIS)** in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support  **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions f\u00fcr real-life healthcare. Located at the Universit\u00e4tsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).", "description_html": "<p><strong>Who Can Benefit:</strong>\n- MedTech Companies Seeking Certification: For independent validation evidence required by notified bodies and regulatory authorities.\n- Clinical Decision-Makers: For objective assessment of AI tool performance before clinical adoption.\n- Quality &amp; Regulatory Teams: For comprehensive documentation aligned with EU AI Act, MDR Annex XIV, and relevant AI standards.\n- Investors &amp; Partners: For independent third-party performance verification as part of due diligence.</p>\n<p><strong>Key Features:</strong>\n- Independent, unbiased evaluation of AI model performance on clinical data\n- Comprehensive quality assessment: accuracy, robustness, fairness, explainability, and failure mode analysis from established assessment framework\n- Alignment with regulatory frameworks (EU AI Act, MDR, FDA AI/ML guidance) and standards (ISO 24028, CLAIM checklist)\n- Secure on-premises evaluation \u2013 no cloud computing; models and data never leave secure infrastructure\n- Clinical relevance assessment by domain experts</p>\n<p><strong>Possible Applications:</strong>\n- Fairness &amp; Bias Audits: Independent assessment of whether AI models perform equitably across demographic subgroups (age, sex, ethnicity) in clinical and sports populations.\n- Pre-Submission Validation (MedTech): Independent performance verification of cardiac AI algorithms (e.g., arrhythmia detection) prior to MDR or FDA regulatory submission.\n- Post-Market Performance Monitoring: Periodic re-validation of deployed AI models to ensure sustained accuracy as patient populations or data acquisition hardware evolve.\n- Biomechanical AI Benchmarking: Objective validation of movement analysis algorithms against gold-standard motion capture in laboratory and real-world conditions.\n- Neurological AI Quality Assessment: Stress-testing seizure detection or tremor classification models across diverse patient populations and recording conditions.\n- Sports &amp; Rehabilitation Algorithm Verification: Validating AI-based injury risk scores, return-to-play classifiers, or performance metrics against clinical expert assessments and ground truth outcomes.\n- Comparative Algorithm Studies: Head-to-head benchmarking of competing AI solutions on the same clinically curated dataset to support procurement or partnership decisions.</p>\n<p><strong>Who We Are:</strong>\nThe <strong>Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)</strong> has established the <strong>Center for Sensor Technology and Digital Medicine (CEMDIS)</strong> in cooperation with the Universit\u00e4tsklinikum Erlangen and the Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) to enhance modern healthcare through <strong>innovative sensor technology</strong> and <strong>digital solutions</strong>. 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