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AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia   +2 more
wiley   +1 more source

Study on the characteristics of carotid wall shear stress in type 2 diabetes patients based on ultrasound vector flow imaging. [PDF]

open access: yesFront Endocrinol (Lausanne)
Li Z   +12 more
europepmc   +1 more source

Rapid prediction of wall shear stress in stenosed coronary arteries based on deep learning. [PDF]

open access: yesFront Bioeng Biotechnol
Alamir SH   +8 more
europepmc   +1 more source

Regional aortic wall shear stress increases over time in patients with a bicuspid aortic valve. [PDF]

open access: yesJ Cardiovasc Magn Reson
Minderhoud SCS   +12 more
europepmc   +1 more source
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Wall Shear Stress Alteration: a Local Risk Factor of Atherosclerosis

Current Atherosclerosis Reports, 2022
Pavel Michalek   +2 more
exaly  

Wall shear stress and its role in atherosclerosis

Frontiers in Cardiovascular Medicine, 2023
Yu Yunfeng
exaly  

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