[WiSe 23/24] Topics in Biomedical Data Science

Content:
- Introduction to data science in biomedical sciences
- Data processing and cleaning
- Selected problems in biomedical image analysis
- Selected problems in the analysis of genomic and other OMICS as well as molecular data
- Natural language processing (NLP) and selected application in biomedical research
- Causal Machine learning
- Clinical decision support systems
- Precision medicine and personalized healthcare
- Data privacy and security in biomedical research
- Bias and fairness in ML models for biomedical research
- Emerging trends and technologies in biomedical data science

Please register for the course in MOSES (Prüfungsanmeldung) to secure a spot. Registration in ISIS will not be considered binding.

The module grade is calculated based on

1. The quality of a scientific presentation (50%).
2. Online quiz (50%).

Each student will present a body of work (typically 1-2 research papers) around a topic within 25 minutes. Students are expected to address any feedback raised by the supervisors in their presentations. Students are also eligible to two consultation of 30 minutes with one or more of the supervisors. Prerequisite for consultations is that all relevant material has been read.