Computational Approaches in Bioengineering

Computational Approaches in Biomedical Engineering is a two-volume set that explores many significant topics of biomedical engineering and bioinformatics in an easily understandable format. It explores the recent developments and applications in bioinformatics, biomechanics, AI, signal processing, wearable sensors, biomaterials, cell biology, synthetic biology, biostatistics, prosthetics, big data, and algorithms. This book is divided into two volumes, Volume 1: Computational Approaches in Biotechnology and Bioinformatics; Volume 2: Computational Approaches in Biomaterials and Biomedical Engineering Applications. From applications of biomaterials in advanced drug delivery systems to the role of big data, AI, and machine learning in the decision for disease diagnosis and treatment, this set will help readers get an insight into understanding how these technologies are being applied across areas of biomedical engineering, bioinformatics, and healthcare. The chapters also include case studies on the role of medical robots in surgery, and the determination of protein structure using genetic algorithms. The contributors are all leading experts across multiple disciplines and provide chapters that truly represent a complete view of these state-of-the-art technologies. This set is ideally designed for biomedical professionals, biomedical engineers, healthcare professionals, data engineers, clinicians, physicians, medical students, hospital directors, clinical researchers, and those who work in the fields of artificial intelligence, bioinformatics, and computational biology.