The advent of high-performance computing has benefited various disciplines, and healthcare is no exception. Enhanced computational capabilities have helped biomedical engineers reach practical solutions to sophisticated and complex biophysical and physiological problems. Successful simulation of computational models can assist physicians in the early diagnosis and treatment of health-related problems. Key to the success is the modelling strategy employed in describing the different biophysical and physiological problems that are involved.
This book addresses two leading model-based approaches, including, mechanistic modelling and physiological modelling, and their applications in biomedical engineering. This is conveyed through the consideration of various topics in healthcare and medicine, their comprehension through ordinary and partial differential equations and their solutions utilizing appropriate numerical strategy. The text is divided into two parts. Part l of the book explores the concept and application of mechanistic modelling, while Part ll, discusses content relevant to physiological modelling. This practical guide is a key text for undergraduate students studying biomedical engineering and researchers in the field of biomedical engineering and healthcare.
This book addresses two leading model-based approaches, including, mechanistic modelling and physiological modelling, and their applications in biomedical engineering. This is conveyed through the consideration of various topics in healthcare and medicine, their comprehension through ordinary and partial differential equations and their solutions utilizing appropriate numerical strategy. The text is divided into two parts. Part l of the book explores the concept and application of mechanistic modelling, while Part ll, discusses content relevant to physiological modelling. This practical guide is a key text for undergraduate students studying biomedical engineering and researchers in the field of biomedical engineering and healthcare.
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