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Books in Biotechnology

    • Metaverse and AI in Healthcare

      • 1st Edition
      • May 1, 2026
      • Jyotir Moy Chatterjee + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 4 9 5 8 1
      • eBook
        9 7 8 0 4 4 3 4 4 9 5 9 8
      "Metaverse and AI in Healthcare: A Federated Learning Approach" addresses the transformative integration of artificial intelligence and metaverse technologies in healthcare. It fills a critical gap by exploring how federated learning enables secure, decentralized data sharing and personalized medicine in virtual health platforms, meeting urgent demands for privacy, interoperability, and innovation. The book is structured into four parts covering foundational AI and federated learning concepts, augmented reality and metaverse applications, legal and cybersecurity challenges, and emerging strategic trends. Contributors from academia and industry present chapters on predictive modeling, cybersecurity frameworks, AR fitness, legal perspectives, and AI-driven medical tourism, supported by case studies and technical explanations. This reference equips graduate students, researchers, and professionals in academia and industry who specialize in computer science, federated learning, biomedical engineering, and digital healthcare with practical knowledge and forward-looking analysis. It empowers readers to navigate evolving digital health ecosystems, addressing data privacy, customized care, and global access challenges through federated learning and metaverse solutions.
    • Wearable Sensing and Assistive Devices for Robotic Rehabilitation

      • 1st Edition
      • April 1, 2026
      • Wei Meng + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 4 6 3 4
      • eBook
        9 7 8 0 4 4 3 4 0 4 6 4 1
      “Wearable Sensing and Assistive Devices for Robotic Rehabilitation” provides an overview of current research and developments in the field of innovative technologies for advanced wearable sensing and assistive devices in medical rehabilitation. This book presents a systematic investigation of the wearable acquisition and deep learning-based processing of biological signals and the applications with wearable robotic devices. It provides fundamental bio-mechatronics engineering knowledge to analyze and design new wearable sensing and assistive devices. It includes human wearable sensors design and development, biological signals acquisition and processing, brain-computer interface and neuromuscular interfaces, wearable exoskeleton and soft robotic devices, as well as human-centered interactive robot control.
    • Magnetic Resonance Fingerprinting for Quantitative MRI

      • 1st Edition
      • Volume 14
      • April 1, 2026
      • Dan Ma + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 6 7 1 8
      • eBook
        9 7 8 0 4 4 3 2 1 6 7 0 1
      Magnetic Resonance Fingerprinting for Quantitative MRI, Volume Fourteen offers readers a thorough exploration of MR Fingerprinting, a groundbreaking advancement in quantitative MRI techniques. This volume serves as an essential resource for researchers and radiologists seeking to understand the detailed processes behind MR Fingerprinting. It begins by addressing the fundamentals of MR acquisition, examining how innovative approaches and diverse MR contrast mechanisms can enhance imaging. Through clear explanations and comprehensive coverage, the book invites professionals in the field to rethink traditional imaging protocols and discover new possibilities that MR Fingerprinting introduces to clinical and research practices.In addition to its foundational overview, the book delves into practical aspects such as implementation, clinical translation challenges, and real-world applications. It places significant emphasis on signal modeling, post-processing techniques, and the integration of MR Fingerprinting into various clinical scenarios.
    • Nanotechnology in Skin Cancer Management

      • 1st Edition
      • April 1, 2026
      • Harpreet Singh + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 5 6 4 8
      • eBook
        9 7 8 0 4 4 3 2 6 5 6 5 5
      Nanotechnology in Skin Cancer Management presents groundbreaking advances in nanotechnology that are reshaping the fields of dermatology and oncology. This comprehensive resource provides a deep dive into the latest research, state-of-the-art techniques, and practical applications of nanotechnology in the treatment of skin cancer. It serves as a comprehensive guide for those interested in unlocking the potential of nanotechnology for enhancing skin cancer management by consolidating essential information, making it an invaluable resource for understanding and harnessing the power of nanotechnology in this context.By offering an extensive overview of cutting-edge research, advanced technologies, and real-world clinical applications, this book demonstrates how nanotechnology can be designed to potentially revolutionize skin cancer management.
    • Sports Biomechanics

      • 1st Edition
      • April 1, 2026
      • Boyi Dai + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 2 8 1 4 5
      • eBook
        9 7 8 0 4 4 3 3 2 8 1 5 2
      Sports Biomechanics: Theories, Examples, and Data Analysis provides readers with a thorough introduction to the mechanical principles behind sports performance and injury assessment. The book blends essential biomechanical theories with practical, data-based examples, emphasizing hands-on learning through step-by-step MATLAB analyses. By connecting theory with the process of data collection, it guides readers in understanding how raw data is gathered and transformed using specific analytical techniques. Through detailed explanations and real-world examples, the book aims to demystify the complexities of biomechanical analysis and foster a deeper comprehension of how to quantify athletic performance and assess injury risks.In addition, this book offers valuable extras, including sample data, instructional videos, illustrative figures, and MATLAB scripts to help calculate key variables in a range of sports and movements. Readers are encouraged to replicate the data collection and analysis procedures, thereby gaining transferable skills useful in different environments. Although the book centers on MATLAB, its programming approaches apply to other similar software, empowering readers to ask informed questions and understand automated data processing across various platforms.
    • Digital Business Transformation in Healthcare

      • 1st Edition
      • April 1, 2026
      • Michael Mutingi
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 4 0 8 5
      • eBook
        9 7 8 0 4 4 3 3 3 4 0 9 2
      Digital Business Transformation in Healthcare: Advances, Models, Strategies and Frameworks provides a comprehensive view of digital transformation, outlining challenges and barriers while also emphasizing critical success factors for healthcare digital transformation. The book introduces healthcare readiness and maturity models, enabling healthcare systems to choose appropriate roadmaps for digital transformation. By utilizing these models, healthcare providers can select effective and sustainable strategies for their digital transformation journey, avoiding the negative impacts of fragmented technology adoption.It is designed for both professionals already immersed in the healthcare industry and those seeking advanced knowledge in digital business transformation within healthcare.
    • Cybersecurity for Healthcare Systems in the Internet of Medical Things Era

      • 1st Edition
      • March 2, 2026
      • Janmenjoy Nayak + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 4 4 8 0
      • eBook
        9 7 8 0 4 4 3 2 7 4 4 9 7
      Cybersecurity for Healthcare Systems in the Internet of Medical Things Era is driven by the imperative to address the intricate convergence of healthcare, technology, and security. In response to the burgeoning challenges presented by the Internet of Medical Things (IoMT), this book is designed to be an indispensable resource for computer systems experts, healthcare staff, and executives. It goes beyond the surface, offering strategic insights and actionable strategies that encompass not only the IoMT landscape but also the intersection of artificial intelligence, signal processing, and cyber security. Cybersecurity for Healthcare Systems in the IoMT Era serves as a problem-solving compass for a diverse readership in the healthcare landscape. For healthcare professionals and IT leaders, the book untangles the complexities of integrating and securing Internet of Medical Things (IoMT) devices, offering a roadmap for understanding and navigating this rapidly evolving terrain. Biomedical engineers, burdened with strategic and everyday decisions, find in this book strategic insights and actionable strategies, empowering them to make informed choices amidst the ever-changing challenges posed by technology and cybersecurity threats. The authors present a comprehensive guide that not only elucidates the challenges and opportunities presented by IoMT but also explores how the synergy of AI and signal processing can elevate healthcare systems. This integration is crucial in deciphering the intricate nuances of medical data, enhancing diagnostics, and fortifying the security of interconnected healthcare networks.
    • Natural Language Processing for Healthcare

      • 1st Edition
      • March 2, 2026
      • Laxmi Shaw + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 5 2 5 2 9
      • eBook
        9 7 8 0 4 4 3 4 5 2 5 3 6
      Natural Language Processing for Healthcare: The Rise of Intelligent Assistants addresses the critical gap between cutting-edge AI research and its practical application in healthcare, offering an accessible yet comprehensive guide tailored to the unique challenges of medical environments. It highlights how NLP technologies are revolutionizing patient care, medical documentation, and clinical decision-making, while emphasizing ethical, legal, and interoperability considerations. Structured into four sections, the book begins by laying foundational knowledge in NLP and healthcare data, covering crucial concepts such as tokenization, medical ontologies like UMLS and SNOMED CT, machine learning models including BioBERT and ClinicalBERT, and the emerging impact of large language models like GPT. The applications section explores real-world implementations of intelligent assistants, such as virtual health chatbots, clinical documentation tools, conversational AI for patient engagement, and voice recognition integrated into electronic health records. Technical chapters provide insights into system architectures, evaluation metrics, data privacy, security, and interoperability standards like FHIR. The final section looks ahead to future directions including multilingual NLP, federated learning for privacy preservation, and the evolving landscape of AI-driven healthcare assistants. This book is an indispensable resource for a broad audience. Healthcare professionals and clinicians will find practical insights into streamlining patient care and diagnostics. Biomedical researchers and data scientists can deepen their understanding of NLP methods tailored to medical data. Students, educators, technology developers, and healthcare administrators alike will benefit from the book’s balanced coverage of theory, implementation, and regulation, empowering them to innovate and responsibly deploy intelligent assistants that enhance healthcare delivery worldwide.
    • Biomechanics of the Human Spine

      • 2nd Edition
      • March 1, 2026
      • Fabio Galbusera + 1 more
      • English
      • Hardback
        9 7 8 0 4 4 3 2 6 5 6 8 6
      • eBook
        9 7 8 0 4 4 3 2 6 5 6 9 3
      Biomechanics of the Human Spine: Basic Concepts, Spinal Disorders and Treatments, Second Edition is an essential resource for both biomedical engineers and spinal surgeons. The book is divided into four key sections, each building on the previous to offer a thorough understanding of spine biomechanics. It starts with the functional anatomy of the spine, emphasizing often overlooked aspects of clinical literature. The second section details the mechanics of spinal tissues, including testing setups and mathematical models. The third section explores contemporary spine research methods, while the final section addresses biomechanical aspects of spinal pathologies and their surgical treatments.Contribut... from leading institutions worldwide ensure the inclusion of the latest research and expertise in spine biomechanics. Highlights include in-depth experimental testing, numerical simulation, and in vivo studies, such as imaging and motion analysis. The book stands out for its comprehensive approach, bridging the gap between biomechanical knowledge and clinical application. It is indispensable for professionals in the field, offering valuable insights and practical guidance for understanding and treating spinal disorders.
    • Connected Diagnoses

      • 1st Edition
      • March 1, 2026
      • Keshav Kaushik + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 8 2 9 9 4
      • eBook
        9 7 8 0 4 4 3 3 8 3 0 0 7
      Connected Diagnoses: IoT, Healthcare, and Digital Forensics offers a detailed examination of the dynamic relationships among Internet of Things (IoT) technology, healthcare practices, and digital forensics. By exploring how these fields intersect, the book underscores the transformative impact of connected devices on patient care, data security, and investigative processes. Readers will gain a deeper understanding of the ethical dilemmas and cybersecurity challenges that arise as medical technology becomes increasingly integrated with digital networks. Through expert insights and real-world examples, the book provides practical strategies for navigating this evolving landscape and improving outcomes in both medical and forensic settings.Beyond its emphasis on cybersecurity and ethics, the book discusses legal implications, regulatory frameworks, and emerging trends in the deployment of IoT within healthcare environments. It delivers guidance on best practices for data management and forensic evidence collection, helping professionals stay ahead in a rapidly changing technological landscape.