Researchers have used everyday Fitbit data to train a machine learning algorithm to accurately predict mood episodes associated with bipolar disorder. It opens the door to using a personalized algorithm to drive treatment of the life-impacting condition.

Bipolar disorder’s (BD) characteristic mood episodes – the extreme swings between depression and mania, followed by a period of remission – can have a huge impact on a person’s work, relationships, and health. Treatment of BD is focused on limiting that impact, which requires the prompt identification and treatment of mood episodes.