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2e Symposium - Science des données et IA dans les soins

Published by Girardin Marielle

Soumettez vos projets : délai prolongé ! Organisé par le Centre de la science des données biomédicales, la 2e édition du Symposium présentera les avancées récentes et les applications de l'intelligence artificielle dans le domaine de la santé.

Join us for the 2nd Symposium on AI for Clinical and Translational Medicine!

May 6th, 2026, 9h00-18h00 - César Roux Auditorium-CHUV

We are pleased to invite you to the 2nd Symposium on AI for Clinical and Translational Medicine, organized by the Biomedical Data Science Center (CHUV) and jointly sponsored by the Directorate of Innovation and Clinical Research (CHUV). Building on the success of our inaugural event, this year’s symposium brings together an exceptional lineup of international speakers, cutting-edge research presentations, and engaging interactive sessions.

 

Throughout the day, we will spotlight the latest breakthroughs in AI and their transformative impact on clinical and translational medicine. From predictive analytics and personalized treatment strategies to AI‑powered diagnostics and decision‑support systems, the program will showcase how data‑driven innovations are reshaping the future of healthcare.

 

The program features keynote lectures by:

Jonah COOL, Life Science Lead, Anthropic

X. Shirley LIU, Co-founder & CEO, GV20 Therapeutics

Pranav RAJPURKAR, Associate Professor, Harvard

 

You’ll also hear from an exceptional lineup of local experts, including:

Emmanuel ABBÉ (EPFL/Apple)
Noémie BOILLAT‑BLANCO (CHUV)
Giovanni CIRIELLO (UNIL)
Alice DRIESSEN (KAIKO.AI)
Guillaume JAUME (UNIL)
Olivier MULLER (CHUV)
Jean Louis RAISARO (CHUV)
Berend SNIJDER (Botnar Institute of Immune Engineering)

 

We warmly invite the biomedical community to take part in this event, which will offers a unique opportunity to connect with leading experts, exchange ideas, and strengthen interdisciplinary collaboration at the intersection of AI and medicine. 

 

Program & Registration - see links on the side

Deadline for registration: April 27, 2026

Note: the event will be in English and held in person only

Call for abstract submission

Are you an early-career researcher (PhD student or Postdoc) working on AI for health?

Don’t miss the opportunity to share your work with a vibrant community of experts and peers!

 

Selected abstracts will be featured in:

Lightning talks – short, high-impact presentations during the main program
Poster session – a dedicated space to showcase your research and network with fellow researchers and professionals
Outstanding contributions will be recognized with awards

 

EXTENDED DEADLINE for abstract submission: APRIL 6, 2026 - see link on the side

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