Patients: Diagnosis & Personalized Anti-Cancer Treatment
Patients receive an individual diagnosis and a recommendation for a tailored precision anti-cancer therapy. The ultimate goal is to transform cancer from a fatal disease into a condition that can be managed over the long term.
Multi-Omics Technologies: Big Data for Health
Using state-of-the-art technologies, the TPC collects multi-layered cancer-specific data, including genomic mutations, biochemical alterations, the tumor cellular microenvironment, and cancer cell response to drugs, to model each tumor to stratify patients for the most promising therapy.
Molecular Tumor Board: Treatment Decision Support
The Tumor Profiler Center "Molecular Tumor Board" consisting of cancer research scientists and oncologists is in direct exchange to interpret the data of the tumor analyses towards clinical decisions.
Artificial Intelligence: Towards New Cancer Biomarkers and Druggable Targets
Up-to-the minute data analysis, machine learning methods in omics analytics are being developed to identify cancer drivers and potential drug targets.