Geometric classifications of 3D pores are useful for studying relationships between pore geometry and function in granular materials. Pores are typically characterized by size, but size alone cannot explain 3D phenomena like transport. Here, we implement a K-nearest neighbor (KNN)-based pore classification approach emphasizing shape-related properties. We find that pore types produced in randomly packed…
The advent of digital twins has increased the demand for longer-duration simulations that span multiple physiological states. Digital twins have emerged as powerful tools in cardiovascular modeling, enabling patient-specific simulations of coronary blood flow for noninvasive diagnosis and treatment planning. Although these simulations achieve high fidelity under steady or periodic heart rates, modeling real-world transitions,…
BACKGROUND AND PURPOSE: Intracranial aneurysms treated with endovascular embolization often require surveillance imaging using digital subtraction angiography, an invasive, risky, and expensive procedure. Existing non-invasive imaging modalities (standard computed tomography [CT] or magnetic resonance [MR] angiography) are often unsatisfactory for evaluating treated aneurysm due to artifacts from embolization devices. The objective of the present study was…
Digital twins offer a promising approach to advancing healthcare by providing precise, noninvasive monitoring and early detection of diseases. In heart failure (HF), a leading cause of mortality worldwide, they can improve patient monitoring and clinical outcomes by simulating hemodynamic changes indicative of worsening HF. Current techniques are limited by their invasiveness and lack of…
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Congratulations to Center director Amanda Randles and members Aristotle Martin and William Ladd for winning Best Main Track Paper Award at the International Conference on Computational Science (ICCS25)!
Explicitly simulating the transport of circulating tumor cells (CTCs) across anatomical scales with submicron precision—necessary for capturing ligand-receptor interactions between CTCs and endothelial walls—remains infeasible even on modern supercomputers. In this work, we extend the hybrid CPU-GPU adaptive physics refinement (APR) method to couple a moving finely resolved region capturing adhesive dynamics between a cancer…
Advancing single-cell analysis requires tools that not only enable precise experimental measurements but also offer predictive capabilities to guide device optimization and expand experimental possibilities. This study addresses this need by developing a digital twin framework for mechano-node-pore sensing (mechano-NPS), a high-throughput microfluidic platform for single-cell analysis. By creating a virtual replica that integrates models…
Aortic coarctation (CoA) comprises 6%–8% of all congenital heart diseases and is the second most common cardiovascular disease requiring neonatal surgical correction. However, patients remain at high risk for long-term complications, notably recoarctation. Methods: Hemodynamic simulations were performed in a group of six patients following CoA repair, as compared to a group of age and sex-matched…