An AI approach to epilepsy drugs

Method speeds up testing of new therapies for hard-to-treat cases

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Current testing of less-costly seizure-reducing epilepsy drugs requires days to weeks of video and brain activity monitoring, said neurosurgery professor Ivan Soltesz, PhD. It’s a major bottleneck in drug discovery for the disease, he said.

He and his collaborators are studying a new method that employs machine learning to do the job in just one hour, whether or not a seizure occurs during that time.

In February 2023, they published a paper in Neuron describing the approach’s success in mouse studies. Soltesz was the senior author.

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Gordy Slack

Gordy Slack is a freelance science writer. Contact him at medmag@stanford.edu

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