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
Standort
Hybrid Event
University Hospital Zurich
Grosser Hörsaal OST
Schmelzbergstrasse 12
8091 Zürich
Datum
08.06.2023
Zeit
9.00 - 17.00 h
Credits
SGMO Credits: 7
Program
| 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
Registration is closed – if you want to participate online please see the meeting link as follows:
Passcode: 381546
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