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Machine learning-enabled cardiometabolic phenotyping for heart failure detection in metabolic syndrome

29 August 2026 (17:15 - 18:00)
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Congress Presentation Part of: Heart failure biomarkers: the cardiometabolic axis Biomarkers ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speakers

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Doctor Sahil Ghay

Mount Sinai Medical Centre Miami Beach, Aventura (United States of America)

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Doctor Baneet Kaur

Mount Sinai Medical Centre, Miami Beach (United States of America)

6 More presentations in this session

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High-sensitivity troponin-T concentrations and risk of heart failure in patients with acute pulmonary embolism
Doctor C. Byrne (Copenhagen, DK)
Abstract
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High-sensitivity C-reactive protein and all-cause mortality in patients with ischemic heart failure with reduced ejection fraction
Doctor A. Cai (Guangzhou, CN)
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Association between cardiorenal biomarkers and myocardial deformation parameters in Chagas cardiomyopathy: a speckle tracking echocardiography study
Doctor L. Echeverria (Floridablanca, CO)
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Association of growth differentiation factor-8 with prognosis in heart failure: the PREHOSP-CHF Study
Doctor M. Iguchi (Kyoto, JP)
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Neutrophil-derived immune-inflammatory biomarkers associated with long-term mortality in patients with acute heart failure.
Doctor A. Karcinska (Krakow, PL)
Abstract

Access the full session

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Heart failure biomarkers: the cardiometabolic axis

The Event

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ESC Congress 2026

29 August 2026 17:15 CET
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