Technology
Inductive Bio Announces an Up To $21M Award to Develop AI Drug Toxicity Models that Improve Drug Safety Assessment with Leading Academic and Biopharmaceutical Organizations
Inductive Bio, an AI drug discovery partner developing virtual chemistry labs, announced today that it has received an up to $21M award to lead a project to develop next-generation models of drug toxicity to advance safer therapeutics and reduce reliance on animal testing. The company has teamed up with Amgen, Cincinnati Children's Hospital Medical Center, Baylor College of Medicine, and Torch Bio, a University of Michigan Medical School spinout company, to use AI trained on data from advanced h
About this update from Amgen Inc.
[{"type":"text","content":"Team to develop and validate computational models trained on data from organoids and advanced human model systems that will improve drug safety and reduce reliance on animal testing","length":181,"tagName":"p","attribs":{}},{"type":"text","content":"NEW YORK, Dec. 8, 2025 /PRNewswire/ -- Inductive Bio, an AI drug discovery partner developing virtual chemistry labs, announced today that it has received an up to $21M award to lead a project to develop next-generation models of drug toxicity to advance safer therapeutics and reduce reliance on animal testing. The company has teamed up with Amgen, Cincinnati Children's Hospital Medical Center, Baylor College of Medicine, and Torch Bio, a University of Michigan Medical School spinout company, to use AI trained on data from advanced human model systems to build toxicity prediction models that could fundamentally change how drug safety is assessed.","length":658,"tagName":"p"},{"type":"image","alt":"Inductive Bio's ML platform enables drug developers to rapidly solve their most challenging ADMET problems (PRNewsfoto/Inductive Bio, Inc.)","displaySize":"","headline":null,"caption":"Inductive Bio's ML platform enables drug developers to rapidly solve their most challenging ADMET problems (PRNewsfoto/Inductive Bio, Inc.)","className":"","disableSlideshowImg":false,"size":{"original":{"width":400,"height":71,"url":"https://media.zenfs.com/en/prnewswire.com/7fe96fc42af994e5cac82341a22295ab"},"resized":{"url":"https://s.yimg.com/ny/api/res/1.2/7GuftQZG097_FbjHG5mI1A--/YXBwaWQ9aGlnaGxhbmRlcjt3PTcwNTtoPTEyNTtjZj13ZWJw/https://media.zenfs.com/en/prnewswire.com/7fe96fc42af994e5cac82341a22295ab","width":400,"height":71}},"href":"https://mma.prnewswire.com/media/2468731/Inductive_Bio_Logo.html","hrefExternal":true,"rel":"nofollow"},{"type":"text","content":"This approach has the potential to reduce late-stage development failures by leveraging human biology-based predictive models and, ultimately, to accelerate the delivery of safe, innovative medicines to patients.","length":212,"tagName":"p"},{"type":"text","content":"Under the ambitious project called DATAMAP (Digital Acceleration of Toxicity Assessment with Mechanistic and AI-driven Predictions), the team will generate biological data using advanced organoids, ex-vivo human tissue systems, and microphysiological systems - models that m...