The semantic content of the term "turbulent flow" in the fluid dynamics community is heavily, if not substantially, dependent on the works of Kolmogorov, Obukhov, and Kraichnan on homogenous isotropic turbulence. Normal blood flow in human arteries does not fall within such semantically generalized class of turbulence. That is why it was mistakenly thought of to be laminar for decades. Our work in this paper explains the what and the why questions to prove this Kuhnian thesis towards shifting the main theory behind modern vascular disease models. Open access link: https://www.nature.com/articles/s41598-020-72309-8

The semantic content of the term "turbulent flow" in the fluid dynamics community is heavily, if not substantially, dependent on the works of Kolmogorov, Obukhov, and Kraichnan on homogenous isotropic turbulence. Normal blood flow in human arteries does not fall within such semantically generalized class of turbulence. That is why it was mistakenly thought of to be laminar for decades. Our work in this paper explains the what and the why questions to prove this Kuhnian thesis towards shifting the main theory behind modern vascular disease models. Open access link: https://www.nature.com/articles/s41598-020-60683-2

Armed with high-fidelity CFD simulations, our study investigated the effects of carotid artery stenting on blood flow dynamics. We found that the stent reduced non-Kolmogorov turbulence and stabilized blood flow, leading to improved outcomes for patients with carotid artery stenosis. These findings are important for optimizing stent design and understanding the underlying mechanisms of the condition. Open access link: https://pubs.aip.org/aip/adv/article/12/1/015124/2819126/

This study investigated in vitro vascular flow in a patient-specific cerebral aneurysm model using particle image velocimetry (PIV). The effects of wall elasticity on wall shear stress (WSS), WSS gradient (WSSG), tensile strength, and kinetic energy cascade (KEC) were explored. The study found that wall elasticity suppressed WSS magnitude and attenuated the flow fluctuation. The results suggest that future studies on kinetic energy cascade frequency and WSS characteristics in aneurysm models should consider assessing elasticity. 

This is the first qualitative survey on medical simulation to evaluate the community sentiment. Participants were recruited anonymously from focus groups on social media platforms. A simple sentiment model was established to analyze the results. Total participants were 131 from 5 focus groups. The overall results showed positive sentiment at 60.31% of the participants, neutral sentiment at 36.64% and negative sentiment at 3.05%. Positive sentiment was reported by 75% of regulatory body professionals and 61.5% by healthcare professionals.

What is NeuroCFD? and why it gives the medical research community deep insilico access to help patients with neurovascular disease? This two-page brochure answers these questions and more! The automated NeuroCFD workflow let medical researchers, with zero knowledge of CFD, simulate patient-specific neurovascular conditions, like stenosis and aneurysm, with cloud-power from the comfort of their browsers. NeuroCFD personalizes neurovascular CFD simulations based on anatomy, blood composition and kinetics, and cardiac rhythm. It provides the most accurate CFD-informed digital twin for the Circle of Willis.