Version 1 of this summary, as approved on . It weighed 14 gains, 8 problems and 1 Traces. This is the current version. See the topic as it stands today
Most evidence on AI in drug discovery comes from lab benchmarks, cell assays and animal studies, with very little from patients. TRV-2026-0893TRV-2026-0940TRV-2026-2408 Authors of a Nature Reviews Drug Discovery Perspective say that after a decade, evidence of safer, more effective medicines reaching patients faster is disappointingly limited. TRV-2026-0733
A randomized, placebo-controlled trial in 51 healthy adults shows the AI-optimized COVID antibody GB-0669 caused no dose-limiting toxicities and had a 54-day half-life. TRV-2026-0225 In a controlled comparison, 85% of 100 AI-optimized antibiotic peptides were hits, and they outperformed their templates in two mouse models of Acinetobacter baumannii infection. TRV-2026-0193 On trial paperwork, the TrialScout tool linked registrations to published results with 92.5% sensitivity, and human error explained 123 of 200 reviewed disagreements with earlier matches. TRV-2026-0918
An AI literature screener scored an F1 of 0.684 on drug-drug queries, against 0.872 for drug-family queries, in a test on 7,751 articles. TRV-2026-1610 A GPT-4.1 tool reading consent forms matched experts on 92.1% of forms after tuning, which leaves a share of answers wrong. The authors note that hallucinations limit reliability in high-stakes settings. TRV-2026-1539 An AI tool that masks patient identifiers reached 88.48% average accuracy, which means some trial documents were not correctly desensitized. TRV-2026-1530 A review in the International Journal of Pharmaceutics says no AI-designed polymeric-lipid nanoparticle for breast cancer has entered a registered clinical trial. TRV-2026-1298
The anticancer prediction model was validated externally on only 10 FDA-approved compounds, and its ranked predictions for 1200 drugs are unconfirmed. TRV-2026-1723 TrialTriage matched the answer key on all 90 synthetic cases, but the authors say real-world performance is not shown. TRV-2026-0666 The AI-designed bird flu vaccine protected mice and ferrets in an animal study, and it still has to be tested in human clinical trials. TRV-2026-2408 An AI framework flagged 817 terminated trials that may have failed from unwanted drug spread in the body, though no drug has been shown revived. TRV-2026-2336
The strongest results are a small human safety trial of an AI-optimized antibody and animal studies of peptides, a vaccine and prostate cancer drugs. TRV-2026-0225TRV-2026-0193TRV-2026-2408TRV-2026-1644
Models rank well on benchmarks and turn up lab hits, but the work is preclinical and some methods are not built for large screens. TRV-2026-0940TRV-2026-1348TRV-2026-1663TRV-2026-1723TRV-2026-1954
Lab tests plus machine learning flagged liver-toxic drugs in a 170-drug test, while reviews say black-box toxicity models struggle to win regulators' trust. TRV-2026-1295TRV-2026-0757TRV-2026-1610
AI tools for matching results, screening patients, reading consent forms and masking identifiers do well in tests but still make errors. TRV-2026-0918TRV-2026-1530TRV-2026-1539TRV-2026-0666TRV-2026-2336
Reviews and reporting say data problems, weak interpretability and few clinical trials leave the claim of better medicines largely unproven. TRV-2026-1172TRV-2026-0733TRV-2026-0893TRV-2026-1151TRV-2026-1298TRV-2026-0356
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