COMPUTATIONAL MODELING AND CLINICAL PREDICTION OF HYDRODYNAMIC PROCESSES IN THE CARDIOVASCULAR SYSTEM
Keywords:
Hemodynamics; Computational Fluid Dynamics; Cardiovascular System; Blood Rheology; Biophysics; Clinical Prediction; Aneurysm; Stenosis; Hydrodynamics; Medical Simulation.Abstract
This paper presents an integrative analysis of hydrodynamic processes in the human cardiovascular system using computational modeling approaches grounded in biophysical principles. The study reviews the rheological properties of blood, the elastic behavior of vascular structures, and the mathematical framework required to simulate blood flow dynamics. Modern computational technologies, including 1D, 2D, and 3D fluid–structure interaction models, are examined in the context of clinical diagnostics and prognosis. Special emphasis is placed on personalized hemodynamic simulation for predicting cardiovascular pathologies such as stenosis, aneurysm rupture, and flow disturbances associated with valvular dysfunction. The results demonstrate that computational modeling significantly enhances the precision of clinical decision-making and supports the development of individualized treatment strategies.
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