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Unravelling the progression of hypertrophic cardiomyopathy: computational insights into MYH7 mutations, ionic remodelling, hypertrophy, and targeted therapy development

29 August 2025 (07:00 - 18:00)
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Congress Presentation Part of: Machine learning for cardiovascular risk assessment: from the heart to the brain In-Silico Medicine and Virtual Physiologic Patient ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Doctor Abdallah Hasaballa

University of Oxford, Oxford (United Kingdom of Great Britain & Northern Ireland)

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Artificial intelligence and machine learning for predicting mitral regurgitation risk following NeoChord procedure
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Prospective clinical trials evaluating artificial intelligence in cardiovascular medicine: A scoping review
Ms T. Pequignot (Basel, CH)
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AI-based identification of acute cellular rejection in digital pathology images of endomyocardial biopsies from heart transplanted patients
Mr E. Buccieri (Pavia, IT)
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One view to rule them all? Applying artificial intelligence to assess valvular disease and ventricular function using a single apical 4-chamber echocardiographic view
Doctor L. Fisher (Ramat Gan, IL)
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Role of neuropsychiatric treatments and conditions in young SCA patients using IA.
Professor X. Jouven (Paris, FR)
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Machine learning for cardiovascular risk assessment: from the heart to the brain

The Event

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ESC Congress 2025

29 August - 1 September 2025
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ESC 365 is supported by

novartis Explore sponsored resources