A UVM study, led by Ryan McGinnis, a bioengineer in the College of Engineering and Mathematical Science, and Ellen McGinnis a clinical psychologist in the Larner College of Medicine, shows that a machine learning algorithm can detect signs of anxiety and depression in the speech patterns of young children, potentially providing a fast and easy way of diagnosing conditions that are difficult to spot and often overlooked in young people. Read the story in The Week.
The study was also covered in the New York Post, the New Reddit Journal of Science, Psychology Today, and Fox News.
Source: UVM News