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AI-Driven Predictive Biomarker Discovery with Contrastive Learning to Improve Clinical Trial Outcomes

2024-02-03

Abstract excerpt

<h4>ABSTRACT</h4> Modern clinical trials can capture tens of thousands of clinicogenomic measurements per individual. Discovering predictive biomarkers, as opposed to prognostic markers, is challenging when using manual approaches. To address this, we present an automated neural network framework based on contrastive learning—a machine learning approach that involves training a model to distinguish between similar...

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Literature Corpus work
04982205-52a8-562e-9272-c15a684cdf5b
DOI
10.1101/2024.01.31.24302104
Open publication

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AI-Driven Predictive Biomarker Discovery with Contrastive Learning to Improve Clinical Trial OutcomesDOI 10.1101/2024.01.31.24302104
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