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A Genome-Informed Functional Modeling Approach to Evaluate the Responses of Breast Cancer Patients to CDK4/6 Inhibitors-Based Therapies and Simulate Real-World Clinical Trials

2023-05-16

Abstract excerpt

<h4>PURPOSE</h4> Varied therapeutic responses were observed among cancer patients receiving the same treatment regimen, highlighting the challenge of identifying patients most likely to benefit from a given therapy. Here, we present an artificial intelligence-based approach, called CDK4/6 inhibitor Response Model (CRM), to address the complexity of predicting patient responses to treatment by a certain clinical sc...

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Literature Corpus work
c8a7a8e0-99d5-59ed-8d22-87242828273f
DOI
10.1101/2023.05.15.23289976
Open publication

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A Genome-Informed Functional Modeling Approach to Evaluate the Responses of Breast Cancer Patients to CDK4/6 Inhibitors-Based Therapies and Simulate Real-World Clinical TrialsDOI 10.1101/2023.05.15.23289976
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