Computational simulations of biological systems are an important part of medical engineering because they allow doctors to see the pathophysiology of a disease. Fluid–structure interaction evaluations are required in many biomedical applications. The development of computational fluid–structure interaction models is required to achieve a quantitative understanding of their structure and function in both health and disease due to the inherent complexity of biological applications, which frequently include fluids and structures interacting together. Furthermore, the interaction of biological structures with the fluid that surrounds them is crucial to their function. As a result, we believe that using fluid–structure interaction models in computational analyses of biological systems is feasible, if not essential. The goal is to create computational models that can anticipate all biological events in humans. These models are designed to help us navigate the wide range of diseases that can impact our organs and to lead to more effective disease diagnosis, risk stratification, medical management, and therapy strategies. This chapter delves into the complexities of computational medical research, particularly in regards to patient specificity and the validation of computational approaches.
New York Institute of Technology College of Osteopathic Medicine, Serota Academic Center (room 138), Northern Boulevard, P.O. Box 8000, Old Westbury, NY 11568, USA.
New York Institute of Technology College of Osteopathic Medicine at Arkansas State, P.O. Box 119, State University, AR 72467, USA.
Theresa and Eugene M. Lang Center for Research and Education, NewYork-Presbyterian/Queens, 56-45 Main St., Flushing, NY 11355, USA.
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