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Multicenter machine learning based risk assessment model, integrating omics, clinical and patient centred data to prevent recurrent heart failure events

30 August 2026 (16:15 - 17:00)
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Congress Presentation Part of: Heart failure frontiers: from decongestion to advanced therapeutics Multidisciplinary Interventions ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Josep Comin-Colet

University Hospital Bellvitge, Barcelona (Spain)

7 More presentations in this session

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Natriuretic peptide receptor 1 targeting chimeras for cardiovascular selective degradation of extracellular proteins
Doctor K. Zhang (Wuhan, CN)
Abstract
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Preemptive cardiorenal phenotyping to forecast diuretic resistance in acute heart failure: derivation and internal validation of the strides score
Doctor H. Al Farhan (Baghdad, IQ)
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Benefits of sotagliflozin across the full range of baseline blood pressure in the SOLOIST-WHF Trial
Doctor E. Zitelny (New York City, US)
Abstract
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Pre-event guideline-directed optimized medical therapy intensity and in-hospital mortality in heart failure–related cardiogenic shock: insights from the ALT-SHOCK registry
Doctor G. Guarnieri (Milan, IT)
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The ACETAZ-HF trial: intravenous furosemide plus oral acetazolamide for rapid decongestion in acute HFrEF and sustained outpatient benefit
Doctor R. Rascon Sabido (Veracruz, MX)
Abstract

Access the full session

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Heart failure frontiers: from decongestion to advanced therapeutics

The Event

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ESC Congress 2026

30 August 2026 16:15 CET
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