Computational modelling and functional validation platform for personalised colorectal cancer
clinical therapy decision support
In the subproject “Computational modelling and functional validation platform for personalised colorectal cancer clinical therapy decision support” we develop computer models for personalised therapy design. Boolean computer models that represent individual patients’ tumours will be used to predict their response to drug therapies, and in silico predictions will be compared to clinical outcome data available from cancer patients and to drug responses in patient-derived spheroid and organoid cultures. Discrepancies between observations and predictions will be analysed to understand why some models fail, and through targeted experiments we will improve Boolean models that better represent individual patients. Our improved modelling platform will take patient tumour data from ex-vivo grown material, produce a short list of promising therapies that subsequently will be tested on the ex-vivo grown material, to deliver patient-specific therapy suggestions to the clinician..