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