Using Large-Scale Clinico-Genomics Data for in silico Clinical Trials and Precision Oncology
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Published on ● Video Link: https://www.youtube.com/watch?v=RabfZpWSwZA
James Zou (Stanford University)
https://simons.berkeley.edu/talks/title-geometric-deep-learning-spatial-omics
From Algorithms to Discovery in Genome-Scale Biology and Medicine
I will discuss how to leverage large-scale EHR data linked with tumor mutation profiles to emulate cancer clinical trials in silico. This approach helps us to design real trials, making them more incluse and efficient (Liu et al. Nature 2021). It also helps to identify a large number of predictive biomarkers, i.e. mutations that impact the survival of patients who are taking specific chemo, targeted or immuno therapies (Liu et al. Nature Medicine 2022). These mutation-drug interactions are critical for treatment planning and precision oncology.
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Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
From Algorithms to Discovery in Genome-Scale Biology and Medicine
James Zou