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Integrating biomarkers and machine learning for early prediction of incident heart failure in older adults: a systematic review and meta-analysis

9 May 2026 (08:00 - 12:45)
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Congress Presentation Part of: ePosters in chronic heart failure - epidemiology, prognosis, outcome (2) Epidemiology, Prognosis, Outcome Delegates Premium Access Heart Failure 2026 Heart Failure Association (HFA)

About the speaker

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Ms Shrinika Satishkumar

Tbilisi (Georgia)

8 More presentations in this session

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Objectively measured physical inactivity identifies a cardiopulmonary heart failure phenotype in U.S. adults
Doctor L. Alrubaye (Greenville, US)
Abstract
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Expanding biomarker strategies in advanced heart failure: the emerging role of CA-125
Doctor P. Bernardes (Setubal, PT)
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Lower appendicular lean mass identifies a skeletal muscle phenotype of heart failure in U.S. adults
Doctor L. Alrubaye (Greenville, US)
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Hidden burden: the impact of durable LVAD support on caregivers
Doctor I. Santos (Ponta Delgada, PT)
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Early dapagliflozin therapy after STEMI in patients with preserved ejection fraction: a prospective cohort study
Professor H. Hayrapetyan (Yerevan, AM)
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ePosters in chronic heart failure - epidemiology, prognosis, outcome (2)

The Event

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Heart Failure 2026

9 May - 12 May 2026

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources