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Research activity of Axis 2 during the period 2019-2021 Research topics This axis aims to generate new fundamental knowledge in medicine to create computational models of the human body and to analyze digital health data in order to improve medical practice in disease prevention, diagnosis, therapy monitoring, and patient rehabilitation. To achieve this purpose, this axis uses data-driven methodological approaches based on machine learning, but also on the integration of mathematical models of human anatomy and physiology. A typical example is the generation of a digital patient which integrates patient data of various natures and at various temporal and spatial scales and analyzes these data to solve a wide range of clinical tasks. A major issue for this axis is how to manage personal and health data while enforcing data privacy and security requirements. This can be handled both by the development of new technologies (such as federated learning) and by the action of dedicated organizations (hospitals, health data hubs, etc.). The main clinical applications of this axis are in neurology, neuroimaging, oncology (prostate, lung, thyroid, abdomen, etc.), cardiology, vascular diseases, nuclear medicine, digital pathology, and functional rehabilitation.
3IA Chairs A total of 11 researchers have contributed to Axis 2: •
7 Chairs since Oct. 2019 (N. Ayache, H. Delingette, M. Sermesant, R. Deriche, J-P. Merlet, O. Humbert, and F. Bremond),
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3 Chairs since Sept. 1, 2021 (V. Zarzoso, J. Raffort, M. Zuluaga),
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1 International chair (S. Ourselin) since 2019.
Two Chairs are Medical Doctors (O. Humbert, J. Raffort).
International chair - since 2019
Sébastien Ourselin - King’s College London AI for Healthcare & Image-guided Interventions. He is Head of School of Biomedical Engineering & Imaging Sciences, Professor at King’s College London and Director of the EPSRC Image-Guided Therapies UK Network+. He published more than 400 articles (h-index: 64). He is associate editor for IEEE Tr. on Med Imaging,J of Med Imaging, Nature Scient. Reports, and Medical Image Analysis.
