Cancer
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Artificial intelligence approaches to establish personalized and targeted Therapies for leukemias and lymphomas.

Institution: Klinik für Hämatologie, Onkologie, Rheumatologie, Universitätsklinikum Heidelberg
Applicant: Prof. Dr. Sascha Dietrich
Funding line:
Else Kröner Clinician Scientist Professorships
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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.