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Elsevier

Academic Press

  • Machine Learning Models and Architectures for Biomedical Signal Processing

    • 1st Edition
    • Suman Lata Tripathi + 3 more
    • English
    Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates how efficient machine and deep learning models can support high-speed processors with reconfigurable architectures like graphic processing units (GPUs), Field programmable gate arrays (FPGAs), or any hybrid system. This great resource will be of interest to researchers working to increase the efficiency of hardware and architecture design for biomedical signal processing and signal processing techniques.

  • IoMT Applications in Healthcare 5.0

    • 1st Edition
    • Bitan Misra + 2 more
    • English
    IoMT Applications in Healthcare 5.0 introduces the concept of Healthcare 5.0, emphasizing the transformative potential of intelligent diagnosis, remote treatment, and smart health management. Sections define IoMT and its multi-tiered architecture, discussing its pivotal role in improving electronic device productivity in healthcare, explore IoMT applications in Healthcare 5.0, discuss remote physical therapy using IoMT in Healthcare 5.0, delve into the security and privacy considerations of IoMT in healthcare, and address how to overcome challenges and future directions in IoMT. The book concludes by summarizing key findings, providing a comprehensive overview of the discussed topics.Written by experts in the field, this is a key text for Biomedical Engineers, Data Scientists, and IoT Developers and specialists who work in the Internet of Medical Things. Graduate students of IoT engineering, biology, biostatistics, biomedical sciences, bioinformatics, health-informatics, and Interdisciplinary sciences will also find this an invaluable resource.

  • Systems Biology and In-Depth Applications for Unlocking Diseases

    Principles, Tools, and Application to Disease
    • 1st Edition
    • Babak Sokouti
    • English
    Systems Biology and In-Depth Applications for Unlocking Diseases provides the essence of systems biology approaches in a practical manner illustrating the basic principles essential to develop and model in real life science applications. Methodologies covered show how to interrogate biological data, with the purpose of obtaining insight about disease diagnosis, prognosis, and treatment.Systematic... written in 4 parts, this book first provides an introduction and history of systems biology; second, it provides the tools and resources needed for the structure and function of biological systems; next, it provides the evidence of systems biology in action to better understand disease connections; and finally, it provides the extensions of systems biology in various scientific fields including pharmacology, immunology, vaccinology, neuroscience, virology, and medicine. Examples include big data techniques, scale networks, mathematical model development, and much more.This is the perfect reference to provide the fundamental base of knowledge needed for systems biologists, professionals in systems medicine, computational biologists, and bioinformaticians, whether needed for immediate application or for building a comprehensive understanding of the field.

  • Metagenomics

    Perspectives, Methods, and Applications
    • 2nd Edition
    • Muniyandi Nagarajan
    • English
    Metagenomics: Perspectives, Methods, and Applications, second edition, provides thorough coverage of the growing field of metagenomics. A diverse range of chapters from international experts offer an introduction to the field and examine methods for metagenomic analysis of microbiota, metagenomic computational tools, and recent metagenomic studies in various environments and clinical settings. The emphasis on application makes this text particularly useful for applied researchers, practitioners, clinicians, and students seeking to employ metagenomic approaches to advance knowledge in the biomedical and life sciences. Case study-based application chapters include topics ranging from metagenome tools, metagenomics in oral disease and health, metagenomic insights into the human gut microbiome and metabolic syndromes, and more. This new edition has been fully updated to address the rapid growth and development of metagenomics applications, featuring expert discussion of recent developments and fresh case studies. Newly added chapters instruct in methods and implications of metagenomics in areas of growing focus, such as microbiome research, clinical diagnosis, metagenomic epidemiology, and plant microbe interaction. Data analysis is explained in simple terms for effective use of computational tools, software, and sequencing pipelines.

  • Edible Nanomaterials

    • 1st Edition
    • Volume 107
    • English
    Edible Nanomaterials, Volume 107 highlights new advances in the field of medicine, with this new volume presenting interesting chapters on topics including Plant-derived edible nanoparticles and their therapeutic utilities, Endogenous and artificial carbon dots from edible sources: Synthesis, applications in biomedicine and uses as fluorescent analytical probes, Nano-edible coatings, Panoramic Exploration of Comestible Nanomaterials for enhancement of food quality and safety and their environmental impact, Nanonutraceuticals: Exploring the nanoencapsulation route for bioactive delivery, Synthesis of Edible Nanoparticles for Food Applications, and much more.Additional sections explore Plants as Emerging Nano Factories: A Green Approach, Edible Nanomaterials for Biomedical Devices, Therapeutics Agents, and Regenerative Tissue Engineering, Plants as Nanofactories, and Synthesis Strategies of Edible Nanoparticles: Advancements and Perspectives.

  • Concepts and Methodology in Cancer Diagnostics

    An Immunological, Biochemical and Molecular Approach
    • 1st Edition
    • Seema Nayak + 1 more
    • English
    Concepts and Methodology in Cancer Diagnostics: An Immunological, Biochemical and Molecular Approach provides an exclusive combination of all basics and recent techniques, methodology, and advancements in the field of cancer diagnostics. With a strong focus on the procedures and techniques involved in cancer diagnostics, content also gives insights into the molecular tests required for different tumors for the administration of targeted drugs and precision medicine. In 11 chapters. The book also introduces the methods and technologies based on DNA and RNA based biomarkers, biochemical and immunological markers, genetic signatures, epigenetic changes and exosomes in blood, and tissue and body fluids.Readers will find a compilation of imperative topics and lists of the necessary materials and reagents needed, step-by-step instructions, readily reproducible laboratory protocols, as well as tips on troubleshooting and known pitfalls. This book is a valuable resource for medical professionals and researchers who want to understand the concepts of validated protocols and methodologies in diagnosing cancer, its prognosis, and predictive value.

  • Brain-Computer Interfaces

    • 1st Edition
    • Ayman S. El-Baz + 1 more
    • English
    Advances in Neural Engineering: Brain-Computer Interfaces, Volume Two covers the broad spectrum of neural engineering subfields and applications. The set provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The book's authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including sensory and motor information, stimulation of the neuromuscular system to control muscle activation and movement, analysis and visualization of complex neural systems, and more.

  • Signal Processing Strategies

    • 1st Edition
    • Ayman S. El-Baz + 1 more
    • English
    Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human–machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions. To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics. Volume 1 provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions.

  • Organic Feed Additives for Livestock

    • 1st Edition
    • Mahmoud Alagawany + 2 more
    • English
    Feed additives (natural or synthetic) are formulations added to livestock rations to improve growth rates, reproductive and productive traits, feed efficiency, ruminal fermentation profiles, methane mitigation, digestion and absorption of nutrients, immunity, and overall health of the animal. Organic Feed Additives for Livestock will focus on the beneficial effects of organic feed additives and on food animals, including ruminants, poultry, fish, and more. It will also explore how these feed additives can benefit food animal production, reproduction, and health. Each chapter will cover the significance of an organic feed supplement, especially as an alternative to synthetic growth promoters, with topics including medicinal plants, cold pressed and essential oils, natural antioxidants, emulsifiers, acidifiers and organic acids, fibrolytic enzymes, organic minerals, probiotics, macro- and microalgae, organic nanoparticles, yeast and its derivatives, and bee pollen.Contributed by a range of livestock and aquaculture specialists from around the world, this book takes a holistic approach to explore how organic additives offer an efficient strategy to improve livestock productivity and health. This reference is an excellent resource for researchers and graduate students interested in animal agriculture, as well as veterinarians, animal nutritionists and breeders, and other livestock specialists. It will allow experts to stay up to date on organic options for livestock and serve as a starting point in generating new research ideas.

  • Error Control, Adaptive Discretizations, and Applications, Part 2

    • 1st Edition
    • Volume 59
    • English
    Error Control, Adaptive Discretizations, and Applications, Volume 59, Part Two highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this release cover hp adaptive Discontinuous Galerkin strategies driven by a posteriori error estimation with application to aeronautical flow problems,An anisotropic mesh adaptation method based on gradient recovery and optimal shape elements, and Model reduction techniques for parametrized nonlinear partial differential equations.

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