Many people with early-stage or first-episode bipolar disorder have cognitive deficits, such as issues with visual processing and spatial memory, but those deficits are often so subtle that the disorder can go undiagnosed for years. That could change thanks to researchers at the University of Alberta who have created a machine learning model that helps identify these subtle deficits with the goal of intervening earlier.