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ATN Classification and Machine-Learned Plasma Biomarker Phenotypes Reveal Distinct Alzheimer’s Pathology in a Population-Based Cohort

2026-01-06

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> The ATN (Amyloid/Tau/Neurodegeneration) framework provides a theory-driven approach to Alzheimer’s disease (AD) classification using binary biomarker cutoffs, while unsupervised machine learning offers data-driven phenotyping. The concordance between these approaches in population-representative samples remains incompletely characterized. <h4>Objective</h4> To compare plasm...

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Literature Corpus work
6a1adebd-c4e7-5262-ad09-8dd63769ef5e
DOI
10.64898/2026.01.02.26343331
Open publication

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ATN Classification and Machine-Learned Plasma Biomarker Phenotypes Reveal Distinct Alzheimer’s Pathology in a Population-Based CohortDOI 10.64898/2026.01.02.26343331
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