AI can use sleep data from a single night to identify patterns linked to disease risk years before symptoms appear.

A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions.

Chase Markel, a University of Wyoming Ph.D. student from Wheatland, is harnessing artificial intelligence to transform how animal scientists study risk factors for congestive heart failure in cattle.

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Stanford researchers taught an AI to “learn the language of sleep” to predict whether patients were at risk of developing ...