Skip to main content
Elsevier
View Cart

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.

  • AI-Driven Human-Machine Interaction for Biomedical Engineering

    Concepts, Applications, and Methodologies
    • 1st Edition
    • Kapil Gupta + 4 more
    • English
    AI-Driven Human-Machine Interaction for Biomedical Engineering: Concepts, Applications, and Methodologies offers a comprehensive examination of the intricate relationship between humans and machines, particularly through the transformative lens of artificial intelligence (AI). As AI technologies rapidly evolve, understanding their implications for human-machine interaction (HMI) has become essential across various domains, especially healthcare. Structured into well-defined chapters, the book begins with an introduction to AI-driven HMI, laying the groundwork for understanding its significance in sustainable healthcare and beyond. Subsequent chapters explore critical topics such as machine learning principles, advanced biomedical data classification methods, and the role of AI in telemedicine.Readers will delve into cutting-edge techniques, from deep learning to non-invasive computer vision, while also examining the implications of these technologies across industries. Each chapter equips readers with actionable insights and highlights emerging trends, ethical considerations, and the future of AI in HMI, ensuring a well-rounded perspective on this dynamic field. This is an invaluable resource for researchers, academics, and students in the fields of Biomedical Engineering, Computer Science, Data Science, Artificial Intelligence, and Healthcare Technology.

  • 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.

  • 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.

  • 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.

  • Deep Learning Assessment of Neurological Imaging

    • 1st Edition
    • Tripti Goel + 3 more
    • English
    Deep Learning Assessment of Neurological Imaging provides an introduction to deep learning structures and pre-processing methods for detecting MRI anomalies. The book also provides a comprehensive accounting of deep learning research on MRI images for Alzheimer's disease, Parkinson's disease, and schizophrenia, and includes a discussion on current research issues and future objectives. This book is a valuable resource to guide new entrants in the field, helping them make a meaningful impact in their development efforts. The book concludes with a brief overview of problems and potential future advancements in the field.

  • 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. The book presents a systematic investigation into the wearable acquisition and deep learning-based processing of biological signals and applications with wearable robotic devices. It provides fundamental bio-mechatronics engineering knowledge to analyze and design new wearable sensing and assistive devices.In addition, the book includes human wearable sensors design and development, biological signals acquisition and processing, brain-computer interface and neuromuscular interfaces, wearable exoskeleton and soft robotic devices, and human-centered interactive robot control.

  • Roadmap to Successful Digital Health Ecosystems

    A Global Perspective
    • 2nd Edition
    • Evelyn J.S. Hovenga AM + 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.

  • 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 applications in healthcare, offering an accessible 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 concepts such as tokenization, medical ontologies like UMLS and SNOMED CT, machine learning models, including BioBERT and ClinicalBERT, and emerging impacts 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.

  • Deep Learning Applications in Neuroinformatics

    Advances, Methods, and Perspectives
    • 1st Edition
    • Karthik Ramamurthy
    • English
    Deep Learning Applications in Neuroinformatics: Advances, Methods, and Perspectives explores how deep learning revolutionizes neuroinformatics, covering the latest methods and applications of deep learning in analyzing neuroimaging data from EEG, MRI, PET, and more. The book addresses critical neurological disorders like Alzheimer’s disease, Mild Cognitive Impairment, Stroke, and Autism Spectrum Disorder, bridging the gap between neuroscience and artificial intelligence. It is an ideal resource for researchers, practitioners, and students with insights from leading experts.

  • 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.

Related subjects