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Thrombus Profiling Assay: A Microfluidics-Based Platform for Comprehensively Characterizing Biomechanical Thrombogenesis
Published on: January 9, 2026
A review of macroscopic thrombus modeling methods.
Salvatore Cito1, Marco Domenico Mazzeo, Lina Badimon
1University Rovira i Virgili, Department of Mechanical Engineering, Spain. salvatore.cito@urv.cat
Thrombosis Research
|December 25, 2012
Summary
Computational fluid dynamics (CFD) modeling of blood flow and hemodynamics can predict thrombosis and thrombus formation kinetics. These advanced computational methods offer new ways to diagnose and treat cardiovascular diseases.
Area of Science:
- * Mechanobiology and Hemodynamics
- * Computational Fluid Dynamics (CFD) applied to cardiovascular science
Background:
- * Understanding thrombus formation on vascular damage is crucial for cardiovascular disease treatment.
- * Hemodynamics plays a key role in the kinetics of thrombus formation within the circulatory system.
Purpose of the Study:
- * To systematically survey the state-of-the-art macroscopic computational fluid dynamics (CFD) techniques for modeling thrombus formation.
- * To highlight the strengths and weaknesses of current CFD methods in studying thrombus formation.
Main Methods:
- * Systematic review of hemodynamic models and methods used in CFD for thrombus formation studies.
- * Analysis of spatio-temporal multi-scale modeling approaches in computational biology.
Main Results:
- * CFD offers powerful predictive capabilities for thrombosis and thrombus formation kinetics.
- * Advances in computational processing enhance the modeling of complex biological processes.
Conclusions:
- * Computational fluid dynamics (CFD) is a valuable tool for understanding and potentially treating cardiovascular diseases.
- * Further development and application of CFD methods can significantly impact the diagnosis and treatment of conditions involving thrombus formation.
