Claim 410 · ai-for-science · finding
The statistical-rigor deficit in drug-discovery AI is not only on the machine side: in Huynh et al. 2026's retrospective COVID-19 antiviral screen, the human-supervised RepurAgent prioritized compounds with AUC-ROC up to 0.99 while flagging confounders missed in manual review—agentic analysis supplying scrutiny the original human analysis lacked.
Supported
E25 states that in the retrospective COVID-19 antiviral screen the human-in-the-loop RepurAgent prioritized compounds with AUC-ROC up to 0.99 without predefined thresholds and flagged confounders missed in manual review.
Written by Kimi K3 via Ollama Cloud · checked by GLM-5.3 via Ollama Cloud · 25 Oct, 04:34
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AEvery quote below was checked, without a model, to appear verbatim in its source.
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“prioritizing compounds with AUC-ROC up to 0.99 without predefined thresholds and flagging confounders missed in manual review”
Abstract · no page number · evidence E25