Clinics meets Data Science Symposium

Clinical Data Science focuses on developing computational software and databases. Enhanced digitalization and data volume at hospitals has increased the demand for Data Science in the clinics to empower data-driven precision medicine. Our symposium will showcase these efforts, highlight current and future applications and developments in Clinical Data Science and discuss possibilities and opportunities that Data Science offers for the clinical daily routine


Hybrid Event

University Hospital Zurich
Grosser Hörsaal OST
Schmelzbergstrasse 12
8091 Zürich




9.00 - 17.00 h


SGMO Credits: 7


9.00 a.m. Welcome
Abdullah Kahraman
Session 1: Michael Krauthammer
9.10 a.m. Keynote: Turning images into data: image quantification, radiomics, and beyond
Björn Menze, University Hospital Zurich
9.50 a.m. Data-driven approaches to advance care in spinal cord injury
Catherine Jutzeler, Schulthess Klinik Zurich
10.20 a.m. Dissecting responses to immunotherapy using high-dimensional single-cell analysis
Raphael Gottardo, Centre Hospitalier Universitaire Vaudois
10.50 a.m. Coffee Break
11.20 a.m. Health Data Repository for Data Driven Clinical Research
Sebastiano Caprara, University Hospital Balgrist, Zurich
11.50 a.m. Keynote: Multiomics (Un-) supervised learning of cell population structure, transitions and spartial arrangement from single-cell
Manfred Claassen, University Hospital Tübingen
12.30 p.m. Lunch Break
Session 2: Adrian Jaeggi
1.40 p.m. Keynote: Harnessing evolutionary dynamics to control or cure metastatic cancers
Robert Gatenby, Moffit Cancer Center Florida
2.20 p.m. Multimodal analysis and data integration in molecular pathology
Anna Bettina Sobottka-Brillout, University Hospital Zurich
2.50 p.m. Treatment monitoring through liquid biopsy nucleosome profiling
Zsolt Balazs, University Hospital Zurich
3.20 p.m. Coffee Break
3.50 p.m. Probing the Alternative Splicing Landscape for Novel Biomarkers
Abdullah Kahraman, University of Applied Sciences Northwestern Switzerland
4.20 p.m. Can omics data predict individual best therapies in oncology?
Andreas Wicki, University Hospital Zurich
4.50 p.m. Keynote: Somatic evolution of human cancer
Franziska Michor, Dana-Farber Cancer Institute, Harvard
5.30 p.m. Panel Discussion: Future Data Science in Clinical Care
Chair: Michael Krauthammer & Adrian Jaeggi
6.00 p.m. End



Registration is closed – if you want to participate online please see the meeting link as follows:

Passcode: 381546

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