The National Institutes of Health, or NIH, today announced funding for three projects with Oregon Health & Science University leaders that will use data to improve health outcomes. The NIH Common Fund's Bridge2AI program supports the widespread adoption of artificial intelligence, or AI, in biomedical research to address ambitious issues facing researchers today. One of the program's key goals is to generate new "flagship" data sets and best practices for machine-learning analysis. Machine learning is a type of AI that provides machines, such as computers, the ability to automatically learn and improve from their experiences. Today, the biomedical research community generates a wealth of data; however, because the data are generated for analysis using other computational and statistical tools, most are not suitable for machine learning.

Researchers and physicians at Oregon Health & Science University, using artificial intelligence and automated monitoring, have designed a method to help people with type 1 diabetes better manage their glucose levels. The research was published in the journal Nature Metabolism. "Our system design is unique," said lead author Nichole Tyler, an M.D.-Ph.D. student in the OHSU School of Medicine. "We designed the AI algorithm entirely using a mathematical simulator, and yet when the algorithm was validated on real-world data from people with type 1 diabetes at OHSU, it generated recommendations that were highly similar to recommendations from endocrinologists." That's significant because the people with diabetes typically go three to six months between appointments with their endocrinologist.

Researchers and physicians at Oregon Health & Science University, using artificial intelligence and automated monitoring, have designed a method to help people with type 1 diabetes better manage their glucose levels. The research was published in the journal Nature Metabolism. "Our system design is unique," said lead author Nichole Tyler, an M.D.-Ph.D. student in the OHSU School of Medicine. "We designed the AI algorithm entirely using a mathematical simulator, and yet when the algorithm was validated on real-world data from people with type 1 diabetes at OHSU, it generated recommendations that were highly similar to recommendations from endocrinologists." That's significant because the people with diabetes typically go three to six months between appointments with their endocrinologist.