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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.

  • MRI of Brain Physiology

    Novel Methods and Clinical Applications
    • 1st Edition
    • Audrey P. Fan + 1 more
    • English
    MRI of Brain Physiology: Novel MRI Methods and Clinical Applications delves into the intricate world of brain physiology, focusing on the latest magnetic resonance imaging (MRI) methods and their clinical applications. Designed for biomedical engineers, technologists, radiologists, neurologists, neurosurgeons, and clinical researchers, this resource bridges the gap between advanced imaging techniques and practical clinical use. It covers a wide spectrum of cerebral physiology, from microvascular and macrovascular dynamics to cerebrovascular reserve, neurovascular coupling, and cerebrospinal fluid pathways. Each of the core chapters has a tripartite structure: physiology (concepts of the physiological processes), imaging techniques, and clinical applications. Readers will find detailed discussions on emerging MRI methods, including dynamic contrast, arterial spin labeling, and quantitative BOLD models. The book also addresses the functional impact of physiological changes on tissue microstructure and integrity, offering insights into multiparametric relaxation mapping and quantitative susceptibility mapping. Uniquely, this book gives a comparative approach to different brain physiological MRI methods, highlighting their strengths, limitations, and reliability.

  • BioMEMS Devices

    • 1st Edition
    • Azrul Azlan Hamzah + 2 more
    • English
    BioMEMS Devices covers the fundamentals of bioMEMS and discusses how MEMS are implemented into biomedical devices. The book discusses the most up-to-date technologies, including the various types of electrochemical, optical, and mechanical MEMS sensors. Other topics include bio cell and particle separation and filtration using microfluidic platform such as dielectrophoresis (DEP) and microfilters. MEMS devices for drug mixing, pumping and transdermal drug delivery using microneedles and micropumps are also discussed, along with recent advances in point-of-care diagnostics and MEMS in medical implantsThe book concludes with a discussion on integration of bioMEMS system with IoT, medical practitioners’ adaptation of the devices, market penetration, emerging technologies, and future outlooks.

  • Antimicrobial Peptides

    From Science to Applications
    • 1st Edition
    • Anil Kumar Chhillar + 4 more
    • English
    Antimicrobial Peptides: From Science to Applications provides comprehensive coverage on the biology, diversity, and mechanisms of action associated with antimicrobial peptides (AMPs). The book aims to equip readers with the knowledge required to understand, harness, and optimize these molecules for development and application across various sectors. Sections overview the biology and diversity of antimicrobial peptides, cover their molecular structure and function, and delve into their unique mechanisms of action and evolutionary significance in nature. Subsequent chapters go on to explore the utilization of AMPs in medicine, agriculture, the environment, and biotechnology.Culmin... in discussions on future trends, regulatory considerations, and strategies to overcome challenges, this book is an informative reference for researchers, scientists, graduate students, and industry professionals engaged in the study and development of antimicrobial peptides as a potential solution to address pressing challenges such as antibiotic resistance, food security, and environmental sustainability.

  • Advanced MR Techniques for Neurodegenerative Diseases

    • 1st Edition
    • Volume 13
    • Kannie Wy Chan + 3 more
    • English
    Advanced MR Techniques for Neurodegenerative Diseases covers state of the art developments in physiologic, metabolic, functional, and microstructural MRI of the brain. It provides an overview of these approaches and includes dynamic contrast enhanced (DCE) MRI, dynamic susceptibility contrast (DSC) MRI, arterial spin labeling (ASL), chemical exchange saturation transfer (CEST) MRI, magnetic resonance spectroscopy (MRS), resting state functional MRI (rsfMRI), microscopic diffusion imaging, and quantitative susceptibility mapping (QSM). Chapters then follow that present the application of these methods to Alzheimer’s Disease and vascular dementia, small vessel disease, Parkinson’s Disease, Lewy body dementia, Huntington’s Disease, Amyotrophic Lateral Sclerosis, and Multiple Sclerosis.Advanced MR Techniques for Neurodegenerative Diseases is a comprehensive resource on the latest advanced MR techniques and their application to neurodegenerative diseases, suitable for MR engineers and physicists as well as clinicians and neuroscientists who use MR techniques for diagnosis and research.

  • 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. It also provides a comprehensive account of deep learning research on MRI images for Alzheimer's disease, Parkinson's disease, and schizophrenia, and a discussion on current research issues and future objectives. The book is a valuable resource to guide new entrants in the field to make a meaningful impact in their development efforts. The book concludes with a brief overview of the problems discussed and potential future advancements in the field.

  • Revolutionizing Microbial Technology

    Unlocking the Potential of Artificial Intelligence
    • 1st Edition
    • Akanksha Srivastava + 1 more
    • English
    Revolutionizing Microbial Technology: Unlocking the Potential of Artificial Intelligence explores the potential integration of artificial intelligence (AI) and machine learning in the fields of microbiology and biotechnology. The book delves into various applications of AI in microbiology across different sectors. This includes coverage of basic microbiology, identification and characterization of microbes, how AI can be implemented in microbiology laboratory practices, and how bioinformatics can help analyze microbial data and help understand complex biological systems. It discusses implementation of AI in healthcare for the diagnosis of microbial diseases and AI-driven microbial therapies and examines potential AI solutions for the acceleration, cost-effectiveness, and efficiency of the drug discovery and drug development process. Additional coverage includes the AI integration in the food and agricultural industries. Revolutionizing Microbial Technology provides a comprehensive understanding to researchers, academics, industry professionals and students of the potential of AI as an advance tool for microbial research and application.

  • Non-Stationary and Nonlinear Data Processing for Automated Computer-Aided Medical Diagnosis

    • 1st Edition
    • Rajesh Kumar Tripathy + 3 more
    • English
    Non-Stationary and Nonlinear Data Processing for Automated Computer-Aided Medical Diagnosis demonstrates the applications of machine learning and deep learning combined with signal processing techniques for human-machine interface applications using EMG signals. The book includes the analysis and classification of various heart diseases based on bio-signals like electrocardiogram (ECG), photoplethysmography (PPG), and phonocardiogram (PCG) signals. Various machine learning approaches, including advanced algorithms like multivariate signal processing, time-frequency analysis, and nonlinear signal processing are covered for CAD of neural, muscular, and cardiovascular diseases. The methods for CAD of various brain disorders are also included. Presented techniques utilize advanced non-stationary and nonlinear signal processing, along with machine learning and deep learning-based classification processes. CAD methods for diagnosing various neurological diseases are based on bio-signals such as electroencephalogram (EEG) and magnetoencephalogram (MEG), as well as medical images like magnetic resonance imaging (MRI) and computerized tomography (CT). Finally, the book addresses various types of medical signals and images, integrating nonlinear and non-stationary signal processing, machine learning, and deep learning within the CAD framework for diagnosing various diseases.

  • Advances in Applied Microbiology

    • 1st Edition
    • Volume 134
    • English
    Advances in Applied Microbiology, Volume 134 presents a comprehensive exploration of the latest innovations in applied microbiology. The book delves into the diverse applications of microbiology across various industries, including agriculture, food production, biotechnology, environmental science, and healthcare. Through a collection of insightful chapters authored by experts in the field, readers are offered in-depth analyses of cutting-edge research, emerging trends, and practical applications of microbiological principles.From novel microbial technologies to the impact of microbiomes on human health and beyond, this book serves as a valuable resource for researchers, professionals, and students seeking to stay informed and inspired by the exciting advancements.

  • Intelligent Cyber-Physical Systems for Sustainable Healthcare

    • 1st Edition
    • Vandana Bajaj + 5 more
    • English
    Intelligent Cyber-Physical Systems for Sustainable Healthcare addresses the integration of emerging technologies like Virtual Reality, Smart Robotics, and Human-Computer Interaction, which are crucial for maximizing digital health's potential. The book includes case studies that highlight challenges faced by medical practitioners and industry professionals, providing valuable insights for designing sustainable iCPS solutions. Aimed at biomedical engineers, researchers, and industry professionals, it offers guidance for developing practical applications in sustainable healthcare. Additionally, shared, cross-disciplinary experiences assist engineers with less clinical expertise in enhancing healthcare applications in the intelligent digital health sector. Overall, case studies illustrate past challenges in the healthcare industry and present effective solutions to overcome them, making the book a comprehensive resource for advancing sustainable healthcare practices.

  • Artificial Intelligence Applications in Emerging Healthcare Technologies

    • 1st Edition
    • Miguel Antonio Wister Ovando + 2 more
    • English
    Artificial Intelligence Applications in Emerging Healthcare Technologies presents the latest advances and state-of-the-art methods and applications of computer science and emerging AI technologies in health and medicine. The book explores the impact of artificial intelligence (AI) in healthcare for medical decision-making and data analysis, tackling topics such as cloud computing, cybersecurity, the internet of things, natural language processing, virtual health, data science applied to healthcare, personalized medicine, imaging, diagnosis, drug discovery, and diseases, among others.Chapters present adaptations or improvements on previous models and algorithms to process data from different sources. Other chapters investigate new formulations for the optimization of known procedures and algorithms. Finally, all chapters use experimental methods to study problems of interest in healthcare. This is a great resource for researchers and students who want to learn how machine learning algorithms and other data science techniques have been implemented to solve healthcare-related problems.

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