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 […]

The Trial-Ready Cohort for Preclinical and Prodromal Alzheimer’s Disease (TRC-PAD): Experience from the First 3 Years

Authors: S Walter, O G Langford, T B Clanton, G A Jimenez-Maggiora, R Raman, M S Rafii, E J Shaffer, R A Sperling, J L Cummings, P S Aisen

Journal: The Journal of Prevention of Alzheimer's Disease

Year Published: 2020

Background: The Trial-Ready Cohort for Preclinical and Prodromal Alzheimer’s disease (TRC-PAD) aims to accelerate enrollment for Alzheimer’s disease (AD) clinical trials by remotely identifying and tracking individuals who are at high risk for developing symptoms of […]

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