The research team led by Chief Investigator Kim Jae Kyoung (IBS Biomedical Mathematics Group, and Professor at KAIST) and ...

Researchers from South Korea have built machine learning-based models that can predict mood episodes using only sleep and circadian rhythm data from wearable devices. The team comprised researchers ...

For the study, published in the journal 'npj Digital Medicine', the researchers analysed 429 days' worth of data from 168 mood disorder patients. Thirty-six sleep-wake, or circadian, rhythms were ...

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, ...

Mood episodes can derail daily life. These real-life accounts show how people recover and move forward. Bouncing back after a mood episode isn’t always easy — and what helps can be deeply personal.

New Delhi: Researchers have developed an AI-based tool that can predict episodes of mood disorder in patients using only sleep-wake data recorded by wearable devices such as smartwatches. People ...