This study presents the use of computational modeling to improve understanding of hypertrophic cardiomyopathy (HCM) and its progression to heart failure. A review of related work highlights advances and challenges in computational modeling and integration of clinical data for model development and validation. Using parametric model of the left heart ventricle, the multiscale Fluid-Solid Interaction (FSI) is performed within the PAK Finite Element (FE) software, simulating cardiac cycles in two patients with clinically diagnosed HCM, and analyzing biomechanical parameters such as pressure, velocity, displacement, and pressure-volume (PV) loops. The results show strong agreement with clinical data, particularly for left ventricular ejection fraction (LVEF). Our findings demonstrate the value of computational tools for patient-specific, non-invasive assessment of cardiac function and disease progression. Continuous development of PAK software and its integration with clinical data will further enhance its role in cardiovascular research, supporting diagnosis, treatment planning, and personalized care in cardiomyopathies and heart failure.
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