Deconstructing Complex Oncogenic Signalling with Computational Models

April 27, 2020

This perspective discusses how executable computational models, integrating various data sets derived from preclinical models and cancer patients, can be used to represent the dynamic biological behaviours inherent in cancer. The article argues that these models might be used as patient avatars to improve personalised treatments.

Deconstructing Complex Oncogenic Signalling with Computational Models
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The Mark Foundation Institute for Integrated Cancer Medicine (MFICM) at the University of Cambridge aims to revolutionise cancer care by affecting patients along their treatment pathway.

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