Munich Health Foundation Model Symposium

Europe/Berlin
Auditorium, Building 23 (Helmholtz Munich Campus)

Auditorium, Building 23

Helmholtz Munich Campus

Ingolstädter Landstraße 1 · D-85764 Neuherberg
Description

UPDATE:

We are looking forward to seeing you at Helmholtz Munich. For external guests, please plan your journey by keeping in mind the time needed to pass our campus gate and sign the registry with your name (0-10min), as well as the time to walk to the Auditorium (7-10min).

 

Helmholtz Munich invites you to participate in our Health Foundation Model Symposium, hosted at our campus (Auditorium, Building 23) on April 10th, 2024.
 

NEW: Final Agenda released here !

Join for an invaluable experience - exchange ideas and network with experts in the field!   Register timely, as spaces are limited !  

- Registration closed - 

    • 10:00 10:20
      Registration and coffee

      Pick up your badge, hang your poster, grab a cup and find a seat !

    • 10:20 10:30
      Welcome and Introduction by Ewa Szczurek (Helmholtz Munich, University of Warsaw)
    • 10:30 12:00
      Session 1, chaired by Ewa Szczurek (Helmholtz Munich, University of Warsaw)
      • 10:30
        Talk: Foundation models of human health - Fabian Theis (Helmholtz Munich, Helmholtz AI) 30m
      • 11:00
        Selected Talks_session1 1h
    • 12:00 14:00
      Lunch and Network 2h
    • 14:00 15:00
      Session 2, chaired by Bjoern Eskofier (FAU, Helmholtz Munich)
      • 14:00
        Selected Talks_session2 30m
      • 14:30
        Keynote: Large Language Models in Medicine and Healthcare: Opportunities and Challenges - Yonghui Wu (University of Florida, USA) 30m

        (online)

    • 15:00 16:00
      Break + Posters session
    • 16:00 17:30
      Session 3, chaired by Carsten Marr (Helmholtz Munich)
      • 16:00
        Selected Talks_session3 30m
      • 16:30
        Keynote: Multimodal foundation models for biomarker development in oncology - Jakob Kather (TU Dresden, DE) 30m

        (online)

      • 17:00
        Keynote: Transfer learning enables predictions in network biology - Christina Theodoris (Gladstone Institutes / UCSF, USA) 30m
    • 17:30 19:00
      Come together and posters