Article

Cross-Cohort Generalizability of Plasma Biomarker Machine Learning Models Reveals Calibration-Driven Degradation in Clinical Utility

2026-04-10

Abstract excerpt

<h4>Background</h4> Plasma biomarkers demonstrate strong within-cohort performance for identifying cerebral amyloid pathology, but their real-world clinical utility depends on generalization across populations and assay platforms. The impact of cross-cohort deployment on clinically actionable metrics such as negative predictive value (NPV) remains poorly characterized. <h4>Objective</h4> To evaluate the performa...

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Literature Corpus work: 85fb196a-6628-5c2c-bb67-fc57abc27a8e
DOI: 10.64898/2026.04.09.26350514

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