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Computational Approaches in Biotechnology and Bioinformatics (Emerging Trends in Biomedical Technologies and Health informatics) - Hardcover

 
9781032406107: Computational Approaches in Biotechnology and Bioinformatics (Emerging Trends in Biomedical Technologies and Health informatics)

Synopsis

Volume 1 of Computational Approaches in Bioengineering―Computational Approaches in Biotechnology and Bioinformatics―explores 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.

FEATURES

  • Covers a wide range of subjects from biomedical engineering like wearable devices, biomaterials, synthetic biology, phytochemical extraction, and prosthetics
  • Explores AI, machine learning, big data analysis, and algorithms in biomedical engineering and bioinformatics in an easily understandable format
  • Includes case studies on the role of medical robots in surgery and the determination of protein structure using genetic algorithms
  • Discusses genetic diagnosis, classification, and risk prediction in cancer using next-generation sequencing in oncology

This 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.

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About the Author

Dr. Pranav D. Pathak is an Associate professor in MIT School of Bioengineering Sciences & Research, Pune. He received his undergraduate, postgraduate degrees from Amravati University and doctoral degrees from Visvesvaraya National Institute of Technology, Nagpur, India. His research interests include use of Indian traditional knowledge in medicines, biorefinery, adsorptive separation, solid waste utilization, and wastewater treatment.

Dr Roshani Raut is an experienced academic and researcher in the field of Computer Science and Engineering at Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, India. She completed her PhD in Computer Science and Engineering from SGBAU, Maharashtra, india, ME from VIT, pune, India and Bachelor’s in Computer Science and Engineering from Nagpur Univeristy. She has more than 18 years of experience and is currently working as Associate Professor in the Department of Information Technology and also handling the charge of Associate Dean International Relations, in Pimpri Chinchwad College of Engineering, Pune, India.

Sebastián Jaramillo-Isaza is currently working as a Principal Professor in Biomedical Engineering, at the School of Medicine and Health Sciences at the Universidad del Rosario, Colombia. He received a PhD in Biomechanics, Bioengineering, and Biomaterials from Sorbonne Universités - Université de Technologie de Compiègne (UTC), France. He completed his masters from École Nationale d’Ingénieurs de Metz (ENIM), Metz, France, and received his Bachelor’s in Bioengineering from the University of Antioquia, Medellin, Colombia. His current research interests are centred around the fields of biomechanics, assistive technologies, neuroengineering, and rehabilitation engineering.

Dr. Pradnya Borkar, AssociateProfessor, Department of Computer Science and Engineering and R&D Cell Incharge, Jhulelal Institute of Technology, Nagpur did her B.E. in Computer Technology in year 2002, M.Tech in Computer Science and Engineering in 2008 and PHD in Computer Science and Engineering in 2018 from RashtrasantTukdoji Maharaj Nagpur University (formerly Nagpur University).She has worked with many reputed organizations and has an overall teaching experience of around 19 years. She has filed two patents. She has published books as "Data Warehousing and Mining" and "Object Oriented Modelling". Her area of interests are high performance computing, bioinformatics, parallel computing, database management systems, compilers and theory of computation. She is a member of ISTE, CSI, and SDIWC.

Dr. Rutvij H. Jhaveri is an experienced researcher working in the Department of Computer Science & Engineering, Pandit Deendayal Energy University, Gandhinagar, India since Dec. 2019. He conducted his Postdoctoral Research at Delta-NTU Corporate Lab for Cyber-Physical Systems, Nanyang Technological University, Singapore. Before joining PDEU, he worked for more than seventeen years at S.V.M. Institute of Technology affiliated to Gujarat Technological University. He completed his PhD in Computer Engineering from CHARUSAT University, India, Master’s degree from Saradar Vallabhbhai National Institute of Technology (SVNIT), Surat and Bachelor's degree from Birla VishvakarmaMahavidyalaya, V. V. Nagar. Apart from numerous academic assignments, he shouldered the responsibility as Head of the Department (IT) for 5 years. In 2017, he was awarded with prestigious Pedagogical Innovation Award by Gujarat Technological University.

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Pathak, Pranav Deepak (EDT); Raut, Roshani (EDT); Jaramillo-isaza, Sebastian (EDT); Borkar, Pradnya (EDT); Jhaveri, Rutvij H. (EDT)
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Hardcover. Condition: 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. Seller Inventory # 9781032406107

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