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.