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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.

  • 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.

  • Mathematical Modeling and AI-Driven Computational Techniques for Epidemiology and Disease Dynamics

    • 1st Edition
    • Sayooj Aby Jose + 2 more
    • English
    Mathematical Modeling and AI-Driven Computational Techniques for Epidemiology and Disease Dynamics offers a comprehensive exploration of innovative methodologies at the intersection of mathematics, biology, and medicine. This book delves into advanced mathematical modeling, artificial intelligence, and computational intelligence, providing essential tools for understanding and managing complex disease dynamics. Covering a wide range of topics, including fractional-order modeling, optimal control strategies, and privacy-preserving technologies, it addresses critical challenges in public health and healthcare systems. With contributions from leading experts, this volume bridges theoretical advancements and practical applications, making it an invaluable resource for researchers, healthcare professionals, and academics seeking interdisciplinary solutions to global health issues.

  • Robotic Platforms for Minimally Invasive Surgery

    • 1st Edition
    • Juan Sánchez-Margallo + 1 more
    • English
    Robotic Platforms for Minimally Invasive Surgery introduces the scientific community to the most popular robotic platforms for minimally invasive surgery in a more exhaustive way, allowing the readers to learn both the technical features as well as functional aspects of these platforms. This book also discusses viability, safety and efficacy of these platforms in surgical application, and is focused on users who are starting in the field of robotic surgery, both in the disciplines of laparoscopic and endoscopic surgery, as well as in microsurgery.An overview of the most widespread robotic platforms for minimally invasive surgery.

  • Marine Microbial Products

    Applications and Opportunities
    • 1st Edition
    • Sesan Abiodun Aransiola + 2 more
    • English
    Marine Microbial Products: Applications and Opportunities delves into the extensive world of marine microbes, an assemblage of organisms that contain a broad array of bioactive chemicals. Written and edited by a diverse team of environmental microbiologists, this book provides readers with a foundational understanding of marine microbial taxa, the products that may be synthesized from these organisms, technological innovations, and future directions of research. Chapters collate the most current research in healthcare, sustainability, and commercial production, presenting readers with the latest information on antibiotics, antivirals, anticancer therapeutics, immunosuppressive chemicals, bioremediation, food processing, biofertilizers, biopesticides, cosmetics, pigments, probiotics, and functional foods.The book is structured for accessibility to academic and professional audiences, spanning a variety of sectors. It is an indispensable resource for students, professors, researchers, and industry professionals in biology, biotechnology, sustainable development, food, healthcare sciences, and adjacent industries.

  • Comprehensive Chemistry and Biology of Coumarins Scaffold

    • 1st Edition
    • Shehryar Hameed + 2 more
    • English
    Comprehensive Chemistry and Biology of Coumarins Scaffold covers detailed methods and protocols to synthetize Coumarin derivatives and different applications and future perspectives for these compounds. Coumarin-Based Scaffolds plays an important role in organic, bioorganic, and medicinal chemistry as they act as a bridge between chemistry, life sciences, and biochemical investigations. Coumarin is an important scaffold for designing, generating a wide variety of chemical libraries and drug-like candidates to obtain desired therapeutic and pharmacological properties. Specific functional groups are covered as well as the synthesis of bioactive compounds against specific pathological conditions.The discovery of new coumarin-based drug candidates during the last decades has been covered to assist the pharmaceutical, bioorganic and medicinal chemists for their further research on coumarin-based molecules.

  • Deep Learning for Cardiac Signal Analysis in Robotic Applications

    • 1st Edition
    • Kapil Gupta + 1 more
    • English
    Deep Learning for Cardiac Signal Analysis in Robotic Applications delves into the transformative role of artificial intelligence in enhancing robotic-assisted cardiovascular procedures. Addressing the complexities of heart signal interpretation amidst the dynamic environment of cardiac surgery, this book meets the critical need for a comprehensive resource that bridges deep learning advances with practical surgical applications. It responds to the challenge of understanding intricate bio-signals, such as ECG, VCG, and BCG, by providing clear explanations, case studies, and methodological insights tailored to improve surgical precision, safety, and patient outcomes. The book is organized into three parts, starting with the fundamentals of cardiac signals and deep learning. It introduces key heart modalities, including the physiological underpinnings and challenges of signals like ECG and BCG, followed by an overview of deep learning architectures relevant to signal processing. Pre-processing and feature extraction techniques are detailed to prepare readers for advanced analysis. Part II focuses on AI-enhanced cardiac signal analysis, covering arrhythmia detection, myocardial ischemia diagnostics, hypertension monitoring via BCG, and explainable AI approaches for fetal arrhythmia monitoring. The final section integrates AI with robotic cardiac surgery, addressing real-time signal integration, AI-guided intervention precision, intraoperative decision support, postoperative monitoring, and future trends in cardiac AI and robotic-assisted surgery.This book is an invaluable resource for engineering students and academicians seeking to deepen their understanding of AI applications in healthcare. It equips readers with practical knowledge to tackle challenges in cardiac signal processing and robotic application, fostering interdisciplinary expertise that spans biomedical engineering, computer science, and clinical practice. This book not only advances academic research but also supports innovation in developing intelligent surgical systems and improving patient care.

  • Applied Science and Engineering of Wound Dressings and their Clinical Effectiveness

    From Design Principles to Physiological Performance
    • 1st Edition
    • Amit Gefen
    • English
    Applied Science and Engineering of Wound Dressings and their Clinical Effectiveness: From Design Principles to Physiological Performance addresses the measurable physical, chemical, biomaterial, fluid structure, mechanical and thermal characteristics that are imperative for a dressing to effectively treat acute and chronic wounds. Divided into two parts, the book discusses the properties of wound dressings, their structure, and how they interact with skin surfaces based on scientific investigation and testing. It also discusses potential tradeoffs, including associated costs of manufacturing, clinical performance characteristics of a dressing, e.g., ease of application and removal, the ability of the dressing to stay in place, and more.This book will be valuable for all professionals involved in the treatment of all types of wounds, including biomedical engineers, material scientists, clinicians across all the relevant medical disciplines, industrialists and regulatory professionals in the field of wound care, academics, scientists and entrepreneurs in the field of medical devices, and undergraduate and graduate bioengineering and medical engineering students who are interested in the structure and function of wound dressings.

  • AI and Data Science in Healthcare 5.0

    • 1st Edition
    • Olfa Boubaker
    • English
    AI and Data Science in Healthcare 5.0 delves into the innovative developments in Healthcare 5.0, focusing on smart medical robots, devices, and connected hospitals. It explores the role of robotics in modern healthcare, including advanced wearables enhanced by deep learning. The volume also addresses the integration of blockchain technology, IoT, and cloud computing in healthcare, emphasizing real-time applications in precision healthcare. The discussion extends to energy optimization in smart hospitals, federated learning for IoMT networks, and advanced patient monitoring systems.The volume concludes with an overview of the future opportunities and challenges in Healthcare 5.0.

  • Machine Learning in MRI

    From Methods to Clinical Translation
    • 1st Edition
    • Volume 13
    • Thomas Kuestner + 3 more
    • English
    Machine Learning in MRI: From Methods to Clinical Translation, Volume Thirteen in theAdvances in Magnetic Resonance Technology and Applications series presents state-of-the-art machine learning methods in magnetic resonance imaging that can shape and impact the future of patient treatment and planning. Common methods and strategies along the processing chain of data acquisition, image reconstruction, image post-processing, and image analysis of these imaging modalities are presented and illustrated. The book focuses on applications and anatomies for which machine learning methods can bring, or have already brought. Ideas and concepts on how processing could be harmonized and used to provide deployable frameworks that integrate into the clinical workflows are also considered.Pitfalls and current limitations are discussed in the context of how they could be overcome to cater for clinical needs, making this an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. By giving an interdisciplinary presentation and discussion on the obstacles and possible solutions for the clinical translation of machine learning methods, this book enables the evolution of machine learning in medical imaging for the next decade.

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