computational approaches biotechnology bioinformatics (18 Ergebnisse)

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Hardcover. Zustand: new. Hardcover. Volume 1 of Computational Approaches in BioengineeringComputational Approaches in Biotechnology and Bioinformaticsexplores many significant topics of biomedical engineering and bioinformatics in an easily understandable format. It explores recent developments and applications in bioinformatics, biomechanics, artificial intelligence (AI), signal processing, wearable sensors, biomaterials, cell biology, synthetic biology, biostatistics, prosthetics, big data, and algorithms. From applications of biomaterials in advanced drug delivery systems to the role of big data, AI, and machine learning in disease diagnosis and treatment, the book will help readers understand how these technologies are being applied across the 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.FEATURESCovers a wide range of subjects from biomedical engineering like wearable devices, biomaterials, synthetic biology, phytochemical extraction, and prostheticsExplores AI, machine learning, big data analysis, and algorithms in biomedical engineering and bioinformatics in an easily understandable formatIncludes case studies on the role of medical robots in surgery and the determination of protein structure using genetic algorithmsDiscusses genetic diagnosis, classification, and risk prediction in cancer using next-generation sequencing in oncologyThis book is ideally designed for biomedical professionals, biomedical engineers, healthcare professionals, data engineers, clinicians, physicians, medical students, hospital directors, clinical researchers, and others who work in the field of artificial intelligence, bioinformatics, and computational biology. This book explores many significant topics in 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, big data, and algorithms. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: new. Hardcover. Volume 1 of Computational Approaches in BioengineeringComputational Approaches in Biotechnology and Bioinformaticsexplores many significant topics of biomedical engineering and bioinformatics in an easily understandable format. It explores recent developments and applications in bioinformatics, biomechanics, artificial intelligence (AI), signal processing, wearable sensors, biomaterials, cell biology, synthetic biology, biostatistics, prosthetics, big data, and algorithms. From applications of biomaterials in advanced drug delivery systems to the role of big data, AI, and machine learning in disease diagnosis and treatment, the book will help readers understand how these technologies are being applied across the 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.FEATURESCovers a wide range of subjects from biomedical engineering like wearable devices, biomaterials, synthetic biology, phytochemical extraction, and prostheticsExplores AI, machine learning, big data analysis, and algorithms in biomedical engineering and bioinformatics in an easily understandable formatIncludes case studies on the role of medical robots in surgery and the determination of protein structure using genetic algorithmsDiscusses genetic diagnosis, classification, and risk prediction in cancer using next-generation sequencing in oncologyThis book is ideally designed for biomedical professionals, biomedical engineers, healthcare professionals, data engineers, clinicians, physicians, medical students, hospital directors, clinical researchers, and others who work in the field of artificial intelligence, bioinformatics, and computational biology. This book explores many significant topics in 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, big data, and algorithms. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: Brand New. 424 pages. 9.18x6.12x9.21 inches. In Stock.

Hardcover. Zustand: new. Hardcover. Volume 1 of Computational Approaches in BioengineeringComputational Approaches in Biotechnology and Bioinformaticsexplores many significant topics of biomedical engineering and bioinformatics in an easily understandable format. It explores recent developments and applications in bioinformatics, biomechanics, artificial intelligence (AI), signal processing, wearable sensors, biomaterials, cell biology, synthetic biology, biostatistics, prosthetics, big data, and algorithms. From applications of biomaterials in advanced drug delivery systems to the role of big data, AI, and machine learning in disease diagnosis and treatment, the book will help readers understand how these technologies are being applied across the 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.FEATURESCovers a wide range of subjects from biomedical engineering like wearable devices, biomaterials, synthetic biology, phytochemical extraction, and prostheticsExplores AI, machine learning, big data analysis, and algorithms in biomedical engineering and bioinformatics in an easily understandable formatIncludes case studies on the role of medical robots in surgery and the determination of protein structure using genetic algorithmsDiscusses genetic diagnosis, classification, and risk prediction in cancer using next-generation sequencing in oncologyThis book is ideally designed for biomedical professionals, biomedical engineers, healthcare professionals, data engineers, clinicians, physicians, medical students, hospital directors, clinical researchers, and others who work in the field of artificial intelligence, bioinformatics, and computational biology. This book explores many significant topics in 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, big data, and algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Pranav D. Pathak is an Associate professor in MIT School of Bioengineering Sciences &amp Research, Pune. He received his undergraduate, postgraduate degrees from Amravati University and doctoral degrees from Visvesvaraya National Institute of Techno.

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Hardcover. Zustand: Brand New. 424 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand.

HRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores many significant topics in 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, big data, and algorithms.