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Machine Learning-Based Multiclass Classification of Cognitive Stages Using Plasma Biomarkers, Clinical Assessments, and Genetic Features: A Repeated Nested Cross-Validation Study in ADNI with External Validation in CNTN

2026-05-08

Abstract excerpt

<h4>Background: </h4> Plasma biomarkers are widely promoted as scalable tools for staging Alzheimer’s disease (AD), yet head-to-head comparisons against the clinical scales used to define diagnostic labels remain scarce. Reported gains from machine-learning fusion of clinical and biomarker features may therefore reflect label circularity rather than biological signal. <h4>Methods:</h4> From the Alzheimer’s Disease...

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Literature Corpus work: 5f2b0b36-80ca-5a32-a697-779bf41eec89
DOI: 10.20944/preprints202605.0498.v1

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