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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Online Winter School on AI for Health
Activités de formation
Activities
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February
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Writing and presentation skills
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February
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Project and time management
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February
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Reconciliation & EDI
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Featured project
Prostate cancer is the second most frequent cancer and the fifth leading cause of cancer death among men. To improve patient outcomes, treatment must be personalized based on accurate prognosis. Nomograms already exist to identify patients at low risk for recurrence based on preoperative clinical information, but these tools do not use patients’ medical images.