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This review covers studies from 2018 to 2020.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We identified 1442 publications using ADNI data by conventional search methods and selected impactful studies for inclusion.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Disease progression studies supported pivotal roles for regional amyloid beta (A\u03b2) and tau deposition, and identified underlying genetic contributions to Alzheimer's disease (AD). Vascular disease, immune response, inflammation, resilience, and sex modulated disease course. Biologically coherent subgroups were identified at all clinical stages. Practical algorithms and methodological changes improved determination of A\u03b2 status. Plasma A\u03b2, phosphorylated tau181, and neurofilament light were promising noninvasive biomarkers. Prognostic and diagnostic models were externally validated in ADNI but studies are limited by lack of ethnocultural cohort diversity.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>ADNI has had a profound impact in improving clinical trials for AD.<\/jats:p><\/jats:sec>","DOI":"10.1002\/alz.12422","type":"journal-article","created":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T06:11:19Z","timestamp":1632809479000},"page":"824-857","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":171,"title":["Using the Alzheimer's Disease Neuroimaging Initiative to improve early detection, diagnosis, and treatment of Alzheimer's disease"],"prefix":"10.1002","volume":"18","author":[{"given":"Dallas P.","family":"Veitch","sequence":"first","affiliation":[{"name":"Department of Veterans Affairs Medical Center Center for Imaging of Neurodegenerative Diseases  San Francisco California USA"},{"name":"Department of 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