Machine learning personalizes depression treatment with the help of wearable technology

AI Summary

A study discusses the personalized treatment of depression using machine learning and wearable technology to analyze individual health habits. This tailored approach shows promise for improving care for those experiencing mild to moderate depression.

More than 21% of U.S. adults experience depression, greatly impacting their quality of life. Many people with mild-to-moderate depression can improve their symptoms by adjusting daily habits like sleep, exercise, diet and social interaction, according to Jyoti Mishra, Ph.D., associate professor of psychiatry at University of California San Diego School of Medicine. However, because depression is highly variable between people, a one-size-fits-all lifestyle approach isn't very effective.