Data Science / Machine Learning in Medical Research — 17 July 2024
Data Science / Machine Learning in Medical Research is a 4-hour online workshop organized by the Digital Science Center (DSC) at Kiel University (CAU) and the Center for Data and Simulation Science (CDS) at the University of Cologne (UoC), to exchange ideas on data science & machine learning, how CAU and UoC apply them in the medical field, and the inherent difficulty of acquiring data. We would like to understand the approach taken by the partnering institutions, their structural approach, applications, difficulties faced, and respective ideas and solutions. The organization of this event was sparked by an increased effort within the data science community of the DACH region to strengthen its network.
- When: July 17, 2024, 12 p.m. – 4 p.m.
- Where: Zoom. The Zoom link will be sent to registered participants a day prior to the event.
Registration
Please register here: uni.koeln/EHDGY. If you are unsure whether you can join, please still register.
The Zoom link will be sent to registered participants a day prior to the event.
Program
The given times are an indication but not fixed and can vary depending on time taken for discussions.
| Wednesday, July 17, 12:00 – 16:00 | |
|---|---|
| 12:00 – 12:10 | Opening Prof. Dr. Axel Klawonn (UoC) & Prof. Dr. Dirk Nowotka (CAU) |
| 12:10 – 12:40 | Clinical Infrastructure for AI Application Prof. Dr. Björn Schreiweis (CAU) • Department for Medical Informatics |
| 12:40 – 13:05 | Data Science in Oncology: First Data Integration, then Data Science Michael Butler (UoC) • Center for Integrated Oncology |
| 13:05 – 13:30 | PADME as a Federated Learning Tool for Healthcare Dr. Adamantios Koumpis (UoC) • Institute for Medical Informatics (via Prof. Dr. Oya Beyan) |
| 13:30 – 13:45 | Break |
| 13:45 – 14:15 | AI in Medical Applications: Adaptation to Medical Image Data and Medical Surface Models Prof. Dr. Sylvia Saalfeld (CAU) • Visualization and Image Processing of Medical Data |
| 14:15 – 14:40 | AI Research in Radiology: Across Multiple Centers and Beyond Dr. Astha Jasiwal (UoC) • Data Science in Radiology (via Prof. Dr. Thorsten Persigehl) |
| 14:40 – 16:00 | Discussion & Wrap-up |