Eisai Co. Ltd. and Oita University in Oita Prefecture, Japan, developed a first-of-its-kind machine learning model to predict amyloid beta accumulation in the brain using a wristband sensor. The model, which collects biological and lifestyle data from daily life, is expected to enable screening for brain amyloid beta accumulation to identify those at risk for Alzheimer's disease, particularly because amyloid beta begins to accumulate in the brain about 20 years before the onset of the disease.