2nd Symposium : AI for Clinical and Translational Medicine

We are pleased to invite you to the 2nd Symposium on AI for Clinical and Translational Medicine, organized by the CHUV's  Biomedical Data Science Center and jointly sponsored by the CHUV's Directorate of Innovation and Clinical Research. 

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 (Anthropic)
X. Shirley LIU (GV20 Therapeutics)
Pranav RAJPURKAR (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 offer a unique opportunity to connect with leading experts, exchange ideas, and strengthen interdisciplinary collaboration at the intersection of AI and medicine.
 

Full program

Register here 

Deadline for registration: April 27, 2026.

Note: the event will be 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.

Submit your abstract

Deadline for abstract submission: March 27, 2026.