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Machine learning identification of risk factors for ischaemic stroke in patients with heart failure with reduced ejection fraction but without atrial fibrillation: A report from WARCEF trial

30 August 2024 (08:00 - 17:30)
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Congress Presentation Part of: New findings in stroke Diagnostic Methods ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Mr Bi Huang

The First Affiliated Hospital of Chongqing Medical University, Chongqing (China)

8 More presentations in this session

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Cardiac autonomic changes after stroke
Doctor M. Schreinlechner (Innsbruck, AT)
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Apolipoprotein C3-rich low-density lipoprotein (AC3RL) exacerbates cerebral ischaemic stroke injury by increasing BBB leakage via LOX-1
Miss P. Tsai (Taichung, TW)
Abstract Slides Video
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Imaging signs of carotid plaque vulnerability predict subclinical neurological events in asymptomatic patients: the carotid artery multi-modality imaging prognostic study
Doctor L. Gargani (Pisa, IT)
Abstract Slides Video
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Oral anticoagulants or antiplatelets for cryptogenic stroke: a systematic review and meta-analysis
Doctor P. Lee (Bronx, US)
Abstract Slides Video
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Efficacy and safety of P2Y12 inhibitors plus aspirin versus aspirin alone in ischemic stroke or high-risk transient ischemic attack: a meta-analysis of randomized controlled trials
Doctor I. Karalis (London, GB)
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Access the full session

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New findings in stroke

The Event

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ESC Congress 2024

30 August - 2 September 2024
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ESC 365 is supported by

novartis Explore sponsored resources