The next blockbuster drug could be invented by artificial intelligence. Medicines designed by artificial intelligence for conditions including lymph cancers, inflammatory diseases and motor neuron diseases are reaching trials in humans, reports POLITICO’s Ashleigh Furlong. It comes as AI advancements accelerate and the Food and Drug Administration ponders what role it should have, if any, in regulating the nascent technology. If successful, AI promises nothing less than a revolution for the pharmaceutical industry: It could dramatically reduce the time it takes to develop a new medicine, as well as help identify new drug molecules that have so far eluded scientists. The premise for using AI in drug discovery and development is straightforward: Use algorithms to trawl through vast troves of data — including the structures of chemical compounds, animal studies and information from patients — to help identify what a future drug needs to target in the human body; which molecule would be best suited to do it; and most enticing, how to create new molecules altogether. “I absolutely do believe that all drugs will be designed this way in the future,” said Andrew Hopkins, the founder of drug company Exscientia, which has a cancer drug and one for inflammatory diseases in clinical trials. Other drugmakers are working on AI-designed medicine: — Schrödinger has a potential lymphoma drug in clinical trials. — Insilico has a drug to treat idiopathic pulmonary fibrosis, a serious disease that causes scarring of the lungs, that’s expected to enter Phase II trials this year. — Verge Genomics is trialing a novel therapeutic for amyotrophic lateral sclerosis, or Lou Gehrig’s disease. In some cases, such as with Verge’s ALS drug, the drug development process itself has been thrown on its head. Traditionally, drugs are tested in animals before moving to humans. Instead, Verge’s platform uses human data and human models in the discovery and development phase, a process that it believes provides more insightful findings than animal models. Hurdles remain: AI-designed drugs require massive amounts of validated data, and that’s often lacking, said Andrea Beccari, who heads up drug company Dompé’s research efforts.
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