Project data
Initiative: | Pioneering research Exploration |
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Allocation: | Oct 17, 2023 |
Period of funding: | 3 Years |
Project information
The increased availability of large-scale medical and high-resolution (single-cell) multi-omics data increases the value and the need for machine learning and artificial intelligence (ML/AI) applications paving the path towards data-driven precision medicine. Yet, critical questions and challenges remain unanswered, such as how to effectively use single-cell patient data in clinical research across sites, ensuring data protection and privacy, assessing the generalizability and reliability of ML/AI applications, implementing these technologies in real-world clinical settings, monitoring model and data drifts, involving the public and patient groups, and addressing the social and ethical implications of medical AI. To address these vital aspects within the context of infectious diseases and pandemic preparedness, an interdisciplinary team of experts spanning fields from data and information sciences to immunology, virology, clinical infectious diseases, and ethics will collaborate. Leveraging high-resolution single-cell omics data and AI applications across multiple medical centers within Germany as well as with international partners across the world, the team will use the Swarm Learning (SL) principle, which is the first in its kind to combine AI and blockchain technology. SL guarantees highest standards in data protection and privacy by exchanging the concept of data sharing with insight sharing in multi-center studies, allowing ML/AI generalization across institutions, and testing of real-world application of AI under clinical conditions, while continuous learning approaches enable model- and data-drift detection in real time. Taken together, this consortium is expected to create a blueprint for the development of SL-enabled, AI-based diagnostic and prognostic tools by leveraging the combined power of high-dimensional clinical, immunological and single-cell multi-omics data from multiple clinical sites and cohorts, exemplified for infectious diseases, yet, expandable to any other medical field.
Project participants
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Prof. Dr. Joachim Schultze
Deutsches Zentrum für Neurodegenerative
Erkrankungen e. V. (DZNE)
Standort Bonn
Systemmedizin
Clinical Single Cell Omics
Bonn
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Prof. Dr. Marylyn Martina Addo
Universitätsklinikum Hamburg-Eppendorf
Sektion Infektiologie
Institut für Infektionsforschung und
Impfstoffentwicklung
Hamburg
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Prof. Dr. Alena Buyx
Technische Universität München
TUM School of Medicine and Health
Institut für Geschichte und Ethik der Medizin
München
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Prof. Dr. Susanne Herold, PhD
Universität Gießen
Universitätsklinikum Gießen und Marburg GmbH
Infektiologie & Experimentelle Pneumologie
Gießen
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Prof. Dr. Florian Klein
Uniklinik Köln
Centrum für Infektionsmedizin
Institut für Virologie
Köln
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Prof. Dr. Percy Knolle
Technische Universität München
Fakultät für Medizin
Institut für Molekulare Immunologie
München
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Prof. Dr. Leif Erik Sander
Charité - Universitätsmedizin Berlin
Fächerverb. Infektiologie, Pneumologie, Intensivm.
Klinik für Infektiologie und Intensivmedizin
Berlin
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Prof. Dr. Martina Sester
Universität des Saarlandes
Fakultät M (medizinische Fakultät)
Zentrum für Infektionskrankheiten
Abt.f. Transplantations- und Infektionsimmunologie
Homburg
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Prof. Dr. Dr. Fabian Theis
Helmholtz Zentrum München
Deutsches Forschungszentrum für
Gesundheit und Umwelt (GmbH)
Institute of Computational Biology ICB
Neuherberg, Munich
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Prof. Dr. Birgit Sawitzki
Charité - Universitätsmedizin Berlin
Berlin Institute of Health
Center of Immunomics
Berlin