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Modelling drug resistance evolution

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OOEW07 - Mathematical Foundations of Oncological Digital Twins

The evolutionary dynamics that lead to the emergence of drug resistance in cancer, and the molecular mechanisms that cause resistance, are in general poorly characterised. Manipulation of the both the evolutionary dynamics and molecular mechanisms offers potential new routes to better treat resistant disease.  I will describe how mathematical modelling of clonal lineage tracing data reveals both the dynamics of resistance evolution and resistance mechanism class (genetic selection vs phenotypic plasticity), without requiring any specific measurement of cell phenotypes. We have used this technology to establish our Evolutionary-informed resistance assays (EIRAs) platform, which we hope can help accelerate the development of new treatments for drug resistant disease. Relevant publication: https://www.nature.com/articles/s41467-025-59479-7

This talk is part of the Isaac Newton Institute Seminar Series series.

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