CIPRA.ai is built on the idea that treatment for chronic conditions is not a “one-size-fits-all” solution. The artificial intelligence platform collects the multi-dimensional data available from a person’s wearable devices and health apps and feeds that data into machine learning algorithms that can learn about the user and pinpoint the primary cause of their condition. The app can then recommend one or two targeted interventions each day that are specifically tailored to the user and will be most effective for them personally in reversing the disease.

“This came from just a technology that we were developing in a research lab, to a real product,” said Sujit Dey, a professor in the Department of Electrical and Computer Engineering and director of the Center for Wireless Communications at UC San Diego. Designed for deployment in partnership with health systems, which allows medical providers to access their patients’ recommendations and tracked progress, CIPRA.ai will soon become available to hypertensive patients at UC San Diego Health. The team is working to expand the tool to a multi-chronic disease platform that will provide personalized recommendations for the management of diabetes, mental health conditions and more.