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Evaluation of machine learning framework for personalized prediction of benefit from beta-blockers in myocardial infarction with preserved or mildly reduced ejection fraction

30 August 2026 (12:00 - 12:12)
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Congress Presentation Part of: Optimising pharmacotherapy in heart failure Beta-Blockers ESC Professional Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Yang Chen

Peking University Third Hospital, Beijing (China)

4 More presentations in this session

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The LUNAR-HF Trial: a randomised comparison of inclisiran versus evolocumab in ischaemic heart failure with reduced ejection fraction
Doctor R. Rascon Sabido (Veracruz, MX)
Abstract Slides Video
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Simultaneous versus sequential initiation of CKM therapies: an indirect comparison of CONFIDENCE and FIDELITY
Doctor J. Ostrominski (Boston, US)
Abstract Slides Video
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Finerenone-related initial declines in eGFR and urinary biomarkers of tubular injury: mechanistic insights from the FIVE-STAR trial
Doctor M. Vaduganathan (Boston, US)
Abstract Slides Video
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Finerenone and serum sodium in patients with heart failure and mildly reduced or preserved ejection fraction: an analysis of FINEARTS-HF
Doctor R. Ono (Glasgow, GB)
Abstract Slides Video

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Optimising pharmacotherapy in heart failure
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The Event

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ESC Congress 2026

30 August 2026 12:00 CET
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