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Books in Biotechnology

Exploring genetic engineering, cell culture, and bioprocessing, this collection supports researchers and industry professionals developing new therapies, diagnostics, and sustainable bio products. It features innovative techniques, case studies, and regulatory considerations, enabling advancements in healthcare, agriculture, and environmental solutions within a rapidly evolving biotech landscape.

BooksJournals

  • AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice

    • 1st Edition
    • Olfa Boubaker + 1 more
    • English
    AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice examines the transformative role of AI and data science in improving diagnosis, treatment, and healthcare delivery. It shows how machine learning, deep learning, and advanced signal and image analysis enable breakthroughs in genomics, multi-omics integration, biomedical imaging, EEG-based seizure prediction, and real-time physiological monitoring. The book highlights AI-driven stratification of complex syndromes such as sepsis, stroke, and acute respiratory distress syndrome, demonstrating how data-driven models support early detection, personalized interventions, and actionable clinical decisions.The volume also presents system-level innovations, including AI-based forecasting for dialysis, blood supply management, and telemedicine optimization. It addresses ethical and regulatory challenges, fairness, transparency, data governance, and clinical validation, providing a practical roadmap for healthcare professionals, engineers, researchers, and policymakers. By integrating responsible, human-centered AI into precision medicine, the book illustrates clear pathways to enhance patient care, improve outcomes, and promote equitable healthcare.

  • AI and Data Science in Medical Research

    • 1st Edition
    • Olfa Boubaker
    • English
    AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies.The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

  • Nanotechnology in Skin Cancer Management

    • 1st Edition
    • Harpreet Singh + 1 more
    • English
    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.

  • Wearable Sensing and Assistive Devices for Robotic Rehabilitation

    • 1st Edition
    • Wei Meng + 4 more
    • English
    “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
    • Dan Ma + 2 more
    • English
    MR Fingerprinting is emerging as a clinically feasible and versatile tool for quantitative MR imaging. Magnetic Resonance Fingerprinting for Quantitative MRI focuses on all aspects of MR Fingerprinting techniques and applications. Presenting a detailed and clear description of the technology, implementation, clinical translation issues and applications, it emphasizes different perspectives of MR signals and their utilization, with the goal of inspiring readers to explore new MR Fingerprinting designs. The book starts each section with a discussion on rethinking the MR acquisition and the opportunities provided by, for example, different MR contrast mechanisms, signal modeling, post-processing and clinical applications.Magneti... Resonance Fingerprinting for Quantitative MRI is a complete reference for magnetic resonance imaging researchers and radiologists.

  • Sports Biomechanics

    Theories, Examples, and Data Analysis
    • 1st Edition
    • Boyi Dai + 2 more
    • English
    Sports Biomechanics: Theories, Examples, and Data Analysis provides mechanical theories, data-based examples, and step-by-step analyses in MATLAB, giving a comprehensive understanding of the process of performing biomechanical analysis in sports. The book connects theories with principles of data collection and offers specific data analysis techniques. It addresses gaps among theories, raw data from various collection methods, different calculations to process raw data in MATLAB, and the extraction of variables of interest to quantify sports performance and injury risk. Sample raw data, videos, figures, and MATLAB scripts are provided, along with theories to calculate key parameters in different sporting events and movements. Readers are encouraged to replicate the data collection and data analyses listed in the book and translate the knowledge and skills to a different setting. While this book covers the data analyses in MATLAB, programming skills can be related to other software with similar language environments to help readers ask questions and understand different parameters when using software performing automatic data processing.

  • Cybersecurity for Healthcare Systems in the Internet of Medical Things Era

    • 1st Edition
    • Janmenjoy Nayak + 2 more
    • English
    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

    The Rise of Intelligent Assistants
    • 1st Edition
    • Laxmi Shaw + 2 more
    • English
    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

    Basic Concepts, Spinal Disorders and Treatments
    • 2nd Edition
    • Fabio Galbusera + 1 more
    • English
    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.

  • Roadmap to Successful Digital Health Ecosystems

    A Global Perspective
    • 2nd Edition
    • Evelyn Hovenga + 1 more
    • English
    Roadmap to Successful Digital Health Ecosystems: A Global Perspective, Second Edition, explores the transformative integration of digital health technologies to enhance healthcare delivery and patient outcomes. This book provides a comprehensive overview of the evolving landscape of digital health, focusing on next-generation systems and the role of artificial intelligence in creating efficient healthcare ecosystems. The revised content covers topics such as regional implementation experiences, workforce management, and precision healthcare. New chapters highlight advancements in digital health technologies, case studies from Jamaica and Africa, and strategies for addressing fragmentation in healthcare systems. The book emphasizes ethical AI use and proactive, integrated healthcare approaches. For the academic audience, this revision serves as an essential resource, compiling cutting-edge research and practical applications that inform best practices in digital health. It equips researchers, educators, and practitioners with the knowledge needed to navigate the complexities of digital health ecosystems and drive innovation in their fields.

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