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Online Winter School on AI for Health

Présenté par

Health Data Hub

Activités de formation

With three days of plenary lectures (January 10th-12th) led by international experts accompanied by two days of hands-on practical sessions (January 13th and 14th), this Winter School will cover the latest advances in the field of data science applied to health. Replays of each session will be available to anyone who registers to the Winter School  as soon as the session is over as we understand that the different timezones of the participants can make livestream sometimes difficult.
The school is aimed at students (final year masters, PhD), post-docs, academics, members of public institutions, and professionals. In order to participate to the practical sessions, basic knowledge in machine learning and python is required
The Winter School is organized by French Health Data Hub, as well as France’s leading AI research institutions: MIAI Grenoble, 3IA Cote d’Azur (Nice) and PRAIRIE (Paris).

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Featured project

Radiotherapy treatments currently used in the clinical field are rarely modified. They generally consist of a global therapy of 50 grays, fractionated in five treatments of two grays every week for five weeks.
Thus, it could be worthwhile to develop a numeric tool, based on mathematical models found in the literature, in order to compare different types of treatment without having to test them on real tissues. Several parameters are known to alter the tissue response after irradiation including oxygen

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