Recent Advances in Computational Modeling of Thrombosis

Abstract

The study of thrombosis is crucial to understand and develop new therapies for diseases like deep vein thrombosis, diabetes related strokes, pulmonary embolism etc. The last two decades have seen an exponential growth in studies related to the blood clot formation using computational tools and through experiments. Despite of this growth, the complete mechanism behind thrombus formation and hemostasis is not known yet. The computational models and methods used in this context are diversified into different spatiotemporal scales, yet there is no single model which can predict both physiological and mechanical properties of the blood clots. In this review, we will attempt to list out all major strategies attempted by researchers so far to model the blood clot formation using existing computational techniques. This review classifies them into continuum level, system level, discrete particles and multi-scale methods. We will also discuss the strength and weakness of various methods and possible future directions in which the computational blood clot research can thrive.

References in corpus (5)

• A Critical Comparison of Lagrangian Methods for Coherent Structure Detection
• An efficient Cellular Potts Model algorithm that forbids cell fragmentation
• Molecular Dynamics Simulations Indicate that Deoxyhemoglobin, Oxyhemoglobin, Carboxyhemoglobin, and Glycated Hemoglobin under Compression and Shear Exhibit an Anisotropic Mechanical Behavior
• Electromagnetically Induced Distortion of a Fibrin Matrix with Embedded Microparticles
• Multi-Constituent Simulation of Thrombus Deposition

Cited by in corpus (5)

• clotFoam: An Open-Source Framework to Simulate Blood Clot Formation Under Arterial Flow
• Multiscale Network Model for Fibrin Fibers and Fibrin Clot with Protofibril Binding Mechanics
• Uncertainty quantification of a thrombosis model considering the clotting assay PFA-100
• Effects of Geometric Modelling and Blood Rheology in Patient-Specific Arterial Blood Flow Simulations with Speed-Accuracy Trade-Off Analysis
• Stiffer alginate gels deposit more efficiently in microchannel flows