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Consensus Risk Modeling and Uncertainty Quantification of Alzheimer’s Disease Using 5ADCSI Plasma Biomarkers and Multiple External Machine-Learning Frameworks

2026-08-02

Abstract excerpt

<h4>Background</h4> Blood-based biomarkers are increasingly used to identify Alzheimer’s disease (AD)-related pathology, but differences in p217tau assay methodology, training cohorts, and model-development context can substantially influence machine-learning (ML) predictions. Whether emerging biomarker platforms preserve biologically meaningful AD-related information across independently developed ML frameworks...

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Literature Corpus work
0d7ceebc-75a3-59c2-bb0e-94df96b45678
DOI
10.64898/2026.07.30.26359341
Open publication

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