SOURCE-LINKED INTELLIGENCE

Dynamics of Adaptation and Resistance in Cancer: MApping and conTrolling Transcriptional and Epigenetic Recurrence

CORDIS · observation · Publication date unknown

cell multi-omics, measuring genomes, epigenomes and transcriptomes of the same cell. I will interpret the results within a unique computational framework that brings together evolutionary theory with machine learning to measure, predict and control resistance. This project will identify new mechanisms and dynamics of cancer drug resistance, deliver new predictive models, and find novel collateral drug sensitivities. This will allow designing rational drug combinations and schedules that will prevent or delay resistance, drastically improving patient outcome. cancer evolution, multi-omics, single cell, machine learning

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recordType

award

status

SIGNED

region

EU

value

1995582

unit

EUR