Predicting amyloid risk by machine learning algorithms based on the A4 screen data: Application to the Japanese Trial-Ready Cohort study

Authors: Kenichiro Sato, Ryoko Ihara, Kazushi Suzuki, Yoshiki Niimi, Tatsushi Toda, Gustavo Jimenez-Maggiora, Oliver Langford, Michael C Donohue, Rema Raman, Paul S Aisen, Reisa A Sperling, Atsushi Iwata, Takeshi Iwatsubo

Journal: Alzheimer's & Dementia

Year Published: 2021

Background Selecting cognitively normal elderly individuals with higher risk of brain amyloid deposition is critical to the success of prevention trials for Alzheimer’s disease (AD). Methods Based on the Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Disease study […]

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