AI-Driven Drug Discovery Blueprint Could Deliver Better Drugs for Chronic Diseases, Researchers Claim

Researchers at University of California San Diego School of Medicine developed an AI-driven drug discovery approach that uses machine learning to search for disease targets and then predict whether a potential drug is likely to make it through trials to regulatory approval. They say the new approach could provide the “predictive horsepower” to help understand how diseases progress, assess a drug’s potential benefits and even strategize how to use a combination of therapies when current treatment is failing.