The research team led by Chief Investigator Kim Jae Kyoung (IBS Biomedical Mathematics Group, and Professor at KAIST) and Professor Lee Heon-Jeong (Korea University College of Medicine) has developed a novel model that can predict mood episodes in mood disorder patients using only sleep and circadian rhythm data collected from wearable devices.
Predicting mood episodes using wearable devices: A sleep and circadian rhythm data analysis model
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HighlightsFree Dark Web Monitoring Stamps the $17 Million Credentials Markets
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AppsScreenshots have generated new forms of storytelling, from Twitter fan fiction to desktop film
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SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
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Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
