Translational Oncologic Imaging

The goal of our research is to improve individual patient diagnostics and therapy response monitoring in oncology. We employ laboratory model systems and advanced computational methods to develop and validate imaging-derived biomarkers.

Our preclinical work comprises the characterization of advanced tumor models including genetically engineered mouse models and PDX, the development of novel multi-modal imaging techniques (e.g. Magnetic Resonance Spectroscopic Imaging, Phase Contrast Computed Tomography) and the integrated anaylsis of imaging and morphomolecular data.

Our clinical work includes the curation of large, multi-institutional image and clinical data repositiores, the integrated modelling of image data and metadata for the improved non-invasive characterization of tumor heterogeneity and the prediction of individual patient therapy response and survival