Mathematical modeling of glioma growth
This project aims to develop tailored therapy concepts for glioma patients on the basis of extensive genome, exome, transcriptome and methylome data from primary and recurrent tumors. Based on these high-throughput data we will develop dynamic models for the evolution and growth of tumors as well as mechanisms of drug resistance. The results of modeling are to be included in the stratification of patient populations and ultimately contribute to the development of individualized treatment options. The developed models are validated against clinical records and preclinical pathophysiological models to demonstrate such relevance and applicability of the tools.