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. If undiagnosed, they can lead to an increased risk of substance abuse and suicide later in life.