How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons
Drug Discovery Today 29 (6), 104009 (2024), published online 30 April 2024. Europe PMC gives the electronic publication date 2024-04-30 and print 2024-06 (its 2024-06-01 placeholder for a month). The publisher page was not readable.
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- No authorship claim recorded yet. The source record lists Kp Jayatunga M, Ayers M, Bruens L, Jayanth D and Meier C.
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- How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons Europe PMC (record of the PubMed abstract; article in Drug Discovery Today) · published 2024-04-30 · Retrieved for the candidate pack on 2026-10-30 (SHA-256 6264b8f15122449d0b3f0b4ab0251f46bad1fffa3ae7dcf40c5d4bd01868de32). Europe PMC REST core record (JSON) with the abstract; the publisher page (doi.org redirect to Elsevier) returned no readable text.
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- AI-discovered drug candidates succeed in clinical trials more often than historical averagesJayatunga et al. (Drug Discovery Today, published online 30 April 2024) state that, in their analysis, AI-discovered molecules have an 80–90% success rate in phase I, substantially higher than historic industry averages, and a phase II success rate of about 40%, comparable to those averages, on a limited sample.2024-04-30 · publication · Stated in source · Supported Inspect claim & evidence ↗AI-discovered drug candidates succeed in clinical trials more often than historical averages: propositions page →
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- A drug candidate discovered or designed with AI has entered human clinical trialsJayatunga et al. (Drug Discovery Today, published online 30 April 2024) state that a growing number of drugs and vaccines have been discovered using AI and analyse the clinical pipelines of what they call AI-native biotech companies.2024-04-30 · publication · Stated in source · Supported Inspect claim & evidence ↗A drug candidate discovered or designed with AI has entered human clinical trials: propositions page →
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