Integration of machine learning with medical data analysis is an essential block in the process of finding patient biomarkers used for clinical studies with a vision to improve cancer treatments. One such example is the application of personalized medicine, being one of the cornerstones for improving cancer patient care. In this Seminar, we will focus on the algorithmic and machine learning aspects of handling high throughput and high dimensional molecular data in the field of computation biomedicine.
| Type | Seminar |
| Term | SS 2023 |
| Mentor(s) |
Stefan Decker |
| Assistant(s) |
Arnab Chakrabarti |
The seminar is offered by the Computational Biomedicine group for Uniklinik RWTH Aachen (https://lehmannlab.org/index.html) in conjugation with the Lehrstuhl für Informatik 5. The contact information of the course advisors is as follows:
Contact mail address:
kjlehmann(at)ukaachen.de, achakrabarti(at)ukaachen.de