
Novel Sleep-Wake-Based Algorithm Predicts Mood Episodes in Depression, Bipolar Disorder
Summary: Researchers have developed a machine learning-based algorithm that uses sleep-wake data from smartphones and smart bands to predict mood episodes in individuals with depression and bipolar disorder, enabling early intervention and potential prevention of recurrences through lifestyle adjustments. Key Takeaways: Irregular sleep patterns and lifestyle habits can contribute to mood episodes, but individuals may…