Oita University and Eisai Co., in Japan, have announced the development of a machine learning model to predict amyloid beta (Aβ) accumulation in the brain, combining background data such as age, gender, smoking history and medical history, as well as general blood test and Mini-Mental State Examination (MMSE) items.
This model is expected to enable primary care physicians to predict the accumulation of brain Aβ, which is an important pathological factor of Alzheimer's disease (AD), during routine medical examinations and to facilitate simple early screening for AD.
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