Clinic Meets Data Science Symposium 2026, FHNW School of Life Sciences

The Clinic Meets Data Science Symposium takes place once a year. The goal is to showcase the latest developments in clinical data science, highlighted state-of-the-art and future applications and tools and discuss possibilities and opportunities that data science offers for the clinical daily routines.

Clinical data science focuses on developing computational software, mathematical models, machine learning algorithms and databases for clinical applications. Enhanced digitalization and growing data volumes at hospitals have increased the demand for clinical data science to improve patient care, enhance healthcare quality, and advance clinical research.

09.00 Welcome

Session 1: Clinical AI

Chairs: Francesca Faraci and Beatrice Zanchi (SUPSI MeDiTech)

09.10 Keynote: Blanca Gallego Luxan, University of New South Wales (UNSW Sydney). Cardiac AI.

09.50 Invited Speaker: Benjamin Kasenda, University Hospital Basel (USB). Title tba.

Session 2: AI-driven Cancer Omics

Chairs: Abdullah Kahraman and Yavuzhan Cakir (FHNW School of Life Sciences)

10.20 Invited Speaker: Martina Haberecker, University Hospital Zürich (USZ). Title tba.

10.50 Keynote: Altuna Akalin, Max Delbrück Center (MDC) and Charité – Universitätsmedizin Berlin. Title tba.

11.30 Coffee break

Session 3: Health Data Science

Chair: Michael Krauthammer (University Hospital Zürich)

11.40 Invited Speaker: Eleonora Maggioni, Politecnico di Milano. Title tba.

12.10 Keynote: Eloise Berson, Mines Paris - PSL and Institut Curie. Turning Electronic Health Records into a Biological Tool for Precision Medicine.

13.00 Panel Discussion: Impact of AI on Clinical Daily Routine

13:45 End of event

• Abdullah Kahraman, FHNW School of Life Sciences, Muttenz
• Francesca Faraci, SUPSI-MeDiTech, Lugano
• Michal Krauthammer, University of Zürich and University Hospital Zurich