Article

Data quality as the missing translational layer in computational drug repurposing

2026-06-29

Abstract excerpt

<title>Abstract</title> <p>Computational drug repurposing can rapidly generate plausible drug-disease candidates, but many remain difficult to interpret because the supporting evidence is fragmented, noisy, safety-incomplete or immature. This creates a translational gap between candidate ranking and decision-ready evidence. Data quality should therefore be treated as a requirement for repurposing decisions, not a...

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Literature Corpus work: e2e4eb5e-081b-554f-9711-581ecde1a579
DOI: 10.21203/rs.3.rs-10131910/v1

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