MIT Assistant Professor Matthew G. Jones discusses his lab's work using computational approaches and machine learning to build predictive models of tumor evolution. His research focuses on extrachromosomal DNA (ecDNA) amplifications, found in ~25% of the most aggressive cancers, which allow tumors to rapidly adapt and resist treatment. Using single-cell lineage tracing technologies, his team aims to decode the molecular rules governing tumor progression in space and time, with the goal of improving patient stratification, anticipating drug resistance, and identifying new therapeutic targets.
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