Seminar: Data Science for Medical Applications

In this seminar, current and relevant research progress in the field of data science for the analysis of medical data is reviewed and presented by the students.

Goal

Familiarization with different types of biomedical data (e.g., medical image data, genomic data, survey data) Exploration of the benefits data science can offer to medicine Learning about common use cases of AI in health and medicine Overview of the latest research and technological advancements of AI for biomedical problems Understanding barriers to the adoption of data science in healthcare settings, including ethical and privacy considerations when handling sensitive medical data

Seminar Contents

An introductory session will provide some background and help with getting started. The seminar consists of a small number of meetings and leaves room for independent reading and preparation.

Students choose a topic from the list of selected areas at the interface of AI and medicine. Based on this, they will read and review relevant scientific papers and present their findings in a final presentation and a short written report.

We provide two to three publications per topic as a starting point. Students are required to identify and review additional relevant literature. Additionally, they are encouraged to explore and conceptualize potential new solutions for their respective topics.

The seminar concludes with a final presentation and a written report.

Topics

Course Schedule

Lecturers