OpenAI and the FDA Are Holding Talks About Using AI In Drug Evaluation

The Food and Drug Administration has been meeting with OpenAI to discuss the agency’s use of AI, according to sources with knowledge of the meetings. The meetings appear to be part of a broader effort at the FDA to use this technology to speed up the drug approval process.

“Why does it take over 10 years for a new drug to come to market?” wrote FDA commissioner Marty Makary on X on Wednesday. “Why are we not modernized with AI and other things? We’ve just completed our first AI-assisted scientific review for a product and that’s just the beginning.”

The remarks followed an annual meeting of the American Hospital Association earlier this week, where Makary spoke about AI’s potential to aid in the approval of new treatments for diabetes and certain types of cancer.

Makary did not specify that OpenAI was part of this initiative. But sources close to the project say a small team from OpenAI has met with the FDA and two associates of Elon Musk’s so-called Department of Government Efficiency multiple times in recent weeks. The group has discussed a project called cderGPT, which likely stands for Center for Drug Evaluation, which regulates over-the-counter and prescription drugs in the US, and Research GPT. Jeremy Walsh, who was recently named as the FDA’s first-ever AI officer, has led the discussions. So far, no contract has been signed.

OpenAI declined to comment.

Walsh has also met with Peter Bowman-Davis, an undergraduate on leave from Yale who currently serves as the acting chief AI officer at the Department of Health and Human Services, to discuss the FDA’s AI ambitions. Politico first reported the appointment of Bowman-Davis, who is part of Andreessen Horowitz’s American Dynamism team.

When reached via email on Wednesday, Robert Califf, who served as FDA commissioner from 2016 to 2017 and again from 2022 through January, said the agency’s review teams have been using AI for several years now. “It will be interesting to hear the details of which parts of the review were ‘AI assisted’ and what that means,” he says. “There has always been a quest to shorten review times and a broad consensus that AI could help.”

Before Califf departed the agency, he said the FDA was considering the various ways AI could be used in internal operations. “Final reviews for approval are only one part of a much larger opportunity,” he says.

To be clear, using AI to assist in final drug reviews would represent a chance to compress just a small part of the notoriously long drug-development timeline. The vast majority of drugs fail before ever coming up for FDA review.

Rafael Rosengarten, CEO of Genialis, a precision oncology company, and a cofounder and board member of the Alliance for AI in Healthcare, says he’s in favor of automating certain tasks related to the drug-review process but says there should be policy guidance around what kind of data is used to train AI models and what kind of model performance is considered acceptable. “These machines are incredibly adept at learning information, but they have to be trained in a way so they’re learning what we want them to learn,” he says.