KAIST and other research teams analyzed and diagnosed the life logs of 1,224 people and identified their risk status with 96.5% accuracy within 4 weeks. A joint research team developed AI technology to early identify the risk of cerebrovascular disease using life data of the elderly. From the left, Professor Jo-woon Jeong of the Department of Electronic and Electrical Engineering at Sungkyunkwan University, Professor Lisa Lim of the Department of Civil and Environmental Engineering at KAIST, Professor Cho Kyung-hee of the Department of Neurology at Korea University Anam Hospital, and Jeong-yeop Baek of the KAIST Applied Science Research Institute...