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

Inductive Bio has secured up to $21 million in funding to develop AI-driven drug toxicity models that could transform safety assessments in drug discovery. The initiative, called DATAMAP, involves collaboration with Amgen, Cincinnati Children's Hospital Medical Center, Baylor College of Medicine and Torch Bio. The project aims to reduce reliance on animal testing by using human-derived data from organoid systems to predict drug safety more accurately. Currently, nearly 90% of clinical-stage drug candidates fail to reach market, with 25% failing due to unforeseen safety issues. The initial phase will focus on drug-induced liver injury and cardiotoxicity, which account for over 40% of drug withdrawals. Inductive Bio will work with the FDA to validate these AI models for regulatory approval, aligning with the agency's push to modernise drug development methodologies.