The A4 study: Now is the time to join the fight to prevent Alzheimer's disease.

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Journal Articles Featuring A4 Data

Predicting Amyloid Positivity in Cognitively Unimpaired Older Adults: A Machine Learning Approach Using A4 Data

Petersen KK, Lipton RB, Grober E, Davatzikos C, Sperling RA, Ezzati A. Neurology. 2022;98(24):e2425-e2435.
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Association of short and long sleep duration with amyloid-beta burden and cognition in aging

Joseph R Winer 1 , Kacie D Deters 1 , Gabriel Kennedy 1 , Meghan Jin 1 , Andrea Goldstein-Piekarski 2 3 , Kathleen L Poston 1 , Elizabeth C Mormino 1. JAMA Neurol. 2021 Oct; 78(10): 1–10.
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Feasibility study for detection of retinal amyloid in clinical trials: The Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Disease (A4) trial

Ngolab J, Donohue M, Belsha A, et al. Alzheimer’s & dementia: diagnosis, assessment & disease monitoring; Alzheimers Dement (Amst). 2021;13(1):e12199-n/a.
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Association of sleep and beta-amyloid pathology among older cognitively unimpaired adults

Insel PS, Mohlenhoff BS, Neylan TC, Krystal AD, Mackin RS. JAMA network open; JAMA Netw Open. 2021;4(7):e2117573.
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Predicting amyloid risk by machine learning algorithms based on the A4 screen data: Application to the Japanese Trial-Ready Cohort study

Sato K, Ihara R, Suzuki K, et al. Alzheimer’s & dementia : translational research & clinical interventions; Alzheimers Dement (N Y). 2021;7(1):e12135-n/a.
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Gene- and age-informed screening for preclinical Alzheimer’s disease trials

Spencer BE, Digma LA, Jennings RG, Brewer JB. Alzheimers Dement. 2021;17(3):457-465.
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