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A machine learning framework for rapid wall shear stress evaluation to assess early atherosclerotic risk in carotid sinus

30 August 2026 (14:15 - 15:00)
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Congress Presentation Part of: Biomechanics in peripheral artery disease Carotid Disease ESC Professional Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Ms Jingzhou Song

Institute of Mechanics, Chinese Academy of Sciences, Beijing (China)

5 More presentations in this session

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Factors associated with wound healing in chronic limb-threatening ischemia patients with hemodynamic failure following endovascular therapy
Doctor O. Iida (Osaka, JP)
Abstract Slides Video
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Unsupervised clustered-derived phenotyping in carotid artery disease: a novel risk stratification model integrating artificial intelligence algorithm with clinical data
Doctor A. Pinna (Rochester, US)
Abstract Slides Video
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Pericarotid adipose tissue attenuation is associated with plaque inflammatory markers in symptomatic carotid atherosclerosis
Doctor K. Nogami (Rochester, US)
Abstract Slides Video
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IL4Ralpha signaling delays foam cell formation in atherosclerotic lesions
Doctor J. Kral-Pointner (Vienna, AT)
Abstract Slides Video
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Combined CD34⁺ cell frequency and S100A8/A9 profiling improves biological risk stratification in peripheral and carotid atherosclerosis
Doctor M. Mutoli (Milan, IT)
Abstract Slides Video

Access the full session

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Biomechanics in peripheral artery disease

The Event

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ESC Congress 2026

30 August 2026 14:15 CET
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