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Author

S. Heckbert

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Open access Sep 2026

Cardio-metabolic biomarkers including circulating ketone bodies and risk of incident atrial fibrillation in the multi-ethnic study of atherosclerosis (MESA).

BACKGROUND Atrial fibrillation (AF) reflects systemic cardio-metabolic dysfunction. While myocardial stress and injury biomarkers are associated with incident AF, the role of ketone bodies (KB) remains incompletely defined. OBJECTIVES To evaluate a multi-biomarker risk score integrating KB with NT-proBNP and hs-cTnT...

P. Chevli, J. McParland, Soroush Masrouri et al. · 0 citations
Preprint Aug 2026

GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning

GenFAR, a modular deep learning framework that learns general, clinically informed features from brain MRIs, is introduced, showing that using the learned feature representation can substantially increase the sample efficiency of secondary deep learning training tasks and models, as well as improve their accuracy.

V. Bashyam, G. Erus, Jun-Hao Wen et al. · 0 citations

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