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AI-Driven Synthetic Cohorts to Explore Genetic Associations: Lessons from Testicular Cancer with Relevance to Rare Conditions

2025-11-23

Abstract excerpt

<title>Abstract</title> <p>Objective Rare cancers often involve small patient cohorts, which limit statistical power and hinder biomarker discovery. This proof-of-concept study evaluates the feasibility of repurposing the Synthpop R package—originally designed for data anonymization—to generate synthetic datasets and improve statistical inference in rare cancer studies. We demonstrate this approach using the asso...

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Literature Corpus work
36a0a210-b45b-54bd-994f-b5da4848c2ef
DOI
10.21203/rs.3.rs-8099876/v1
Open publication

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AI-Driven Synthetic Cohorts to Explore Genetic Associations: Lessons from Testicular Cancer with Relevance to Rare ConditionsDOI 10.21203/rs.3.rs-8099876/v1
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