Biomedical Engineering of Pancreatic, Pulmonary, and Renal Systems, and Applications to Medicine

Biomedical Engineering of Pancreatic, Pulmonary, and Renal Systems, and Applications to Medicine
Author :
Publisher : Elsevier
Total Pages : 756
Release :
ISBN-10 : 9780323958851
ISBN-13 : 0323958850
Rating : 4/5 (51 Downloads)

Book Synopsis Biomedical Engineering of Pancreatic, Pulmonary, and Renal Systems, and Applications to Medicine by : Dhanjoo N. Ghista

Download or read book Biomedical Engineering of Pancreatic, Pulmonary, and Renal Systems, and Applications to Medicine written by Dhanjoo N. Ghista and published by Elsevier. This book was released on 2023-05-15 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Engineering Modeling of Pancreatic, Respiratory, and Renal Regulatory Systems, and their Medical Assessments addresses the need for biomedical engineering to provide physiological analysis of organ systems and their medical applications to help enable quantitative formulation of physiological systems and defining their functions and dysfunctions, leading to precision diagnostics of diabetes, lung diseases, and kidney failure, often in the form of non-dimensional indices. The book chapters also deal with treatment systems, namely automated insulin infusion systems, hemodialysis, and peritoneal dialysis. The book is formulated to solve many physiological, bioengineering, and medical problems. - Covers foundational concepts of the emerging fields of quantitative physiology and computational medicine, developing the biomedical engineering modeling of three important organ systems: pancreas, lungs, and kidneys - Provides readers with detailed understanding of novel biomedical engineering strategies in key areas, such as pancreatic system engineering, glucose-insulin regulatory system engineering, pulmonary system engineering, and renal system engineering - Provides in-depth technical coverage of computational modeling techniques and applied mathematics for these important physiological systems, including differential equations and the associated MATLAB datasets for all applied diagnostic and treatment examples


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