An exponential rise in patient data provides an excellent opportunity to improve the existing
health care infrastructure. In the present work, a method to enable cardiovascular digital twin …

Physics-based computational models of the cardiovascular system are increasingly used to
simulate hemodynamics, tissue mechanics, and physiology in evolving healthy and …

Reduced-order models based on physics are a popular choice in cardiovascular modeling
due to their efficiency, but they may experience loss in accuracy when working with …

Reactive hyperemia is a well-established technique for the non-invasive evaluation of the
peripheral microcirculatory function, measured as the magnitude of limb re-perfusion after a …

Abstract Three‐dimensional (3D) cardiovascular fluid dynamics simulations typically require
hours to days of computing time on a high‐performance computing cluster. One …

Computational predictions in cardiovascular medicine have largely relied on explicit models
derived from physical and physiological principles. Recently, the application of artificial …

In this work, we propose a methodology to detect the severity of carotid stenosis from a video
of a human face with the help of a coupled blood flow and head vibration model. This semi …

In this work we propose to validate the predictive capabilities of one-dimensional (1D) blood
flow models with full three-dimensional (3D) models in the context of patient-specific …

Non‐invasive coronary computed tomography (CT) angiography‐derived fractional flow
reserve (cFFR) is an emergent approach to determine the functional relevance of obstructive …

Personalized Computational Hemodynamics: Models, Methods, and Applications for
Vascular Surgery and Antitumor Therapy offers practices and advances surrounding the …