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A. Quyyumi

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Open access Sep 2026

Biopsychosocial phenogroups in an urban population with coronary artery disease and their associations with adverse cardiovascular events

Abstract Aims Patients with stable coronary artery disease (CAD) are clinically heterogeneous and exhibit differential treatment responses. We aimed to identify distinct CAD phenogroups based on psychosocial, autonomic, and cardiovascular characteristics and to examine their risk of adverse cardiovascular events. Metho...

Jeffery Osei, B. Otchere, Louis Y. Li et al. · 0 citations
Meta-analysis Open access Aug 2026

Multi-ancestry genetic architecture of heart failure subtypes

The genetic basis of major heart failure subtypes across diverse populations is mapped, identifying shared and subtype-specific risk variants that may inform biology, risk prediction and future therapies.

Chang Liu, Qin Hui, Gregorio V. Linchangco et al. · 0 citations
#artificial intelligence Preprint Aug 2026

CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT

The developed CARDINAL (Cardiovascular Assessment via Representation learning from Deep Imaging with Nested Anatomical Latent embeddings), a clinically grounded framework that learns compact representations from routine non-contrast cardiac CT for major adverse cardiovascular event (MACE) prediction, suggests that non-...

Roy M. Gabriel, Nattakorn Kittisut, Jamshid Hassanpour et al. · 0 citations
Open access Aug 2026

Validation of the Detection of The Salt Sensitivity of Blood Pressure from 24-hour Ambulatory Blood Pressure Monitoring Data.

The identification of a high-risk SSI, based on 24-hour ABPM, is validated as a generalizable implementable approach for the clinical diagnosis of the SSBP, with a potential greater clinical diagnostic value in hypertensive versus normotensive individuals.

Xiangyu Zheng, Leonardo Máximo Cardoso, Christopher Dieffenthaller et al. · 0 citations

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