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Summer School AI4Health - 3-5 July Paris + Online - Registrations now open!

7 Avril 2023

Catégorie : Ecole thématique

Registrations for the third edition of the AI4Health Summer School that will take place on July 3-7 2023 are now open!

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Dear Sir, Madam,

Registrations for the third edition of the AI4Health Summer School
that will take place on July 3-7 2023
are now open!

This event, organized by the Interdisciplinary Institutes for Artificial Intelligence (3IA), MIAI (Grenoble), 3IA Côte d'Azur (Nice) and PR[AI]RIE (Paris), together with the Health Data Hub, will take place at PariSanté Campus, Paris and online.

Register now!
The 2023 AI4Health Summer School will cover the latest advances in the field of AI applied to health. It will start with three days of plenary sessions with lectures and use cases, led by international speakers, accessible on-site and online. They will be followed by two days of hands-on practical sessions, led by experts, for the on-site participants only. A poster session is also scheduled, for the on-site participants only, with a prize of 500€ for the best poster chosen by the AI4Health scientific committee.

Click here to register

Please note that registrations to participate on-site will only last for 5 weeks
and will close on May 8th. Registrations to participate online will be open until June 19th.

All speakers will be on-site in Paris.
The school will be held in English and is aimed at students (masters from the first year, PhD), post-docs, academics, members of public institutions, and professionals. Please note that in order to participate in the practical sessions, basic knowledge in machine learning (python or others) is required.

Meet internationally renowned speakers in AI for Health, including among others:

Blasimme, Alessandro (Switzerland)
Reader in bioethics at the Swiss Federal Institute of Technology Zurich (ETH Zurich)
Introductory keynote: "Artificial intelligence in medicine: an ethical perspective"

Gauss, Tobias (France)
MD, Consultant Anesthesia and Critical Care, Emergency Operating Theatre and Resuscitation Room, Division Anesthesia-Critical Care, Grenoble Alpes University Hospital, Prehospital Emergency Medicine, SAMU 38, Traumabase Group, Réseau Urg'ARA
Use case: "Machine learning in the triage of major trauma , the Traumatrix project"

Goldenberg, Anna (Canada)
Professor in the departments of Computer Science and the Laboratory Medicine and Pathobiology at the University of Toronto
Plenary course: "Machine learning for time series with applications to healthcare"

Mahmood, Faisal (USA)
Associate Professor of Pathology at Harvard Medical School
Use case: "Deep learning for pathology image analysis"

Menze, Bjoern (Switzerland)
Professor for Biomedical Image Analysis and Machine Learning at the University of Zurich
Plenary course: "Deep learning for medical image data - from images to structures to graphs"

Ourselin, Sébastien (UK)
Professor of Healthcare Engineering and Head of the School of Biomedical Engineering & Imaging Sciences at King's College London
Use case (title to be confirmed)
Ritter Petra (Germany)
Head of the Brain Simulation Section at the Charité University Medicine Berlin and Berlin Institute of Health
Use case (title to be confirmed)

Rosier, Arnaud (France)
CEO and founder of Implicity
Use case (title to be confirmed)

Rys, Andrzej (Belgium)
Principal Scientific Adviser at the Directorate for Health and Food Safety at the European Commission
Introductory keynote: "Digital health: policy and regulatory landscape in the European Union and globally"

Shalit, Uri (Israel)
Senior lecturer and assistant professo: r at the Technion - Israel Institute of Technology
Plenary course: "The basics of causal inference for health applications"

Van der Schaar, Mihaela (UK)
Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and fellow at the Alan Turing Institute in London
Founder and director of the Cambridge Centre for AI in Medicine (CCAIM)
Introductory keynote: "The future of personalized medicine and its implications on the healthcare systems: A machine learning perspective"

Villata, Serena (France) - plenary course
Deputy Scientific Director at 3IA Côte d'Azur Institute
Research director in computer science at the CNRS
Plenary course: 'Clinical Text Analysis: Methods and Applications."

...and many more experts leading, use cases and practical sessions.

Click here to access the full program

Questions? Email us: ai4health@health-data-hub.fr

This new edition echoes the success of the first two editions that gathered more than 500 participants from over 32 countries, around a dozen of internationally renowned speakers, thanks to the support of 15 industrial partners.

Do not hesitate to spread the word about this event to your network.

We would be pleased to meet you at PariSanté Campus or online.

Kind regards,

Emmanuel Bacry
Scientific Director of the Health Data Hub