Cancer
|
Artificial intelligence approaches to establish personalized and targeted Therapies for leukemias and lymphomas.
Funding line:
Else Kröner Clinician Scientist Professorships
High-throughput microscope for analyzing cell culture systems and making predictions about how patients will respond to medications
(© Prof. Dr. Sascha Dietrich)
Our aim is to bring biology-based individualized treatment of lymphoma and leukemia into clinical practice. To achieve this ambitious aim, we establish a systems medicine program that integrates systematic functional assays, multi-omic profiling, bioinformatic analysis, mathematical modeling and setup towards a clinical exploitation. The basis of the program is a platform to map patient specific pathway activity and drug sensitivity of their primary tumor cells ex-vivo. By comparing drug responses across patients with detailed molecular characterization (e.g. whole exome- and RNA-sequencing) and the clinical parameters, we obtain a rich set of associations of drug sensitivity with biology, biomarkers and outcome.