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.
Registration deadline : April 27th , 2026
Note : the event will be in English and held in person only.
Call for Abstracts 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 at the 2nd Symposium on AI for Clinical and Translational Medicine!
Submission deadline: March 27th, 2026
We look forward to your participation and to discussing how AI can advance clinical and translational research.
The Organizing Committee
Prof. Raphael Gottardo, Prof. Mauro Oddo, Prof. Jean Louis Raisaro,
Prof. Marianna Rapsomaniki, Prof. Oliver Y. Chén
