Japan Introduces World’s First Machine Learning Model To Screen Alzheimer’s Disease

Oita University and Eisai Co. have developed the world’s first machine learning model to predict amyloid beta (Aβ) accumulation in the brain using a wristband sensor. This model is expected to enable screening for brain Aβ accumulation, which is an important pathological factor of Alzheimer’s disease (AD), simply by collecting biological and lifestyle data from daily life. This is the first machine learning study to focus on biological data and lifestyle data, as opposed to cognitive function tests, blood tests, and brain imaging tests.