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AI-based predictive biomarker discovery via contrastive learning retrospectively improves clinical trial outcome

2024-02-12

Abstract excerpt

<title>Abstract</title> <p>Modern clinical trials can capture tens of thousands of clinicogenomic measurements per individual. Employing manual approaches to discover predictive biomarkers, as differentiated from prognostic markers, is a challenging task. To address this challenge, we present an automated neural network framework based on contrastive learning, which we have named the predictive biomarker modeling...

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Literature Corpus work
2c40389f-de5c-5d3d-a3ba-515f584f955a
DOI
10.21203/rs.3.rs-3938140/v1
Open publication

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AI-based predictive biomarker discovery via contrastive learning retrospectively improves clinical trial outcomeDOI 10.21203/rs.3.rs-3938140/v1
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