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TRACE: A FINE-TUNED BIOMEDICAL LANGUAGE MODEL FOR DIRECTIONALLY INFORMED DRUG REPURPOSING FROM TRANSCRIPTOME-WIDE ASSOCIATION STUDIES

2026-08-28

Abstract excerpt

Transcriptome-wide association studies (TWAS) can identify genes where genetically predicted gene expression is associated with disease risk, but translating those signals into therapeutic opportunities remains time-consuming, manual, and difficult to reproduce. We developed TRACE (TWAS-driven Repurposing through AI-assisted Curation of Evidence), a gene- and phenotype-agnostic computational pipeline that accepts...

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Literature Corpus work: 46aab594-517b-5956-b3f6-799fd6368653
DOI: 10.64898/2026.08.25.26361263

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TRACE: A FINE-TUNED BIOMEDICAL LANGUAGE MODEL FOR DIRECTIONALLY INFORMED DRUG REPURPOSING FROM TRANSCRIPTOME-WIDE ASSOCIATION STUDIESDOI 10.64898/2026.08.25.26361263Read

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