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Books in Life sciences

Elsevier's Life Sciences collection helps researchers get comprehensive coverage and up-to-date information on the study of living organisms, their processes, and interrelationships, spanning disciplines like biology, genetics, and biochemistry, and addressing emerging trends such as genomics, biotechnology, and sustainability, essential for advancing knowledge and driving innovation in the field.

BooksJournals

    • Biochemical Immunology of Diabetes and Associated Complications

      • 1st Edition
      • March 15, 2024
      • Pratima Tripathi + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 1 9 5 0
      • eBook
        9 7 8 0 4 4 3 1 3 1 9 6 7
      Biochemical Immunology of Diabetes and Associated Complications offers in-depth coverage of the association of biochemical and immunological aspects of the human body in diabetes. It discusses the suppression and modulation of the immune system and the impact of immunochemicals on the biochemical pathways in diabetes, along with associated complications. The book enumerates the exigency in knowledge about the immunomodulators as therapeutic targets to cure the syndrome. It will serve as an important reference for medical practitioners, researchers, medical students, masters and doctoral students. In addition, it could also be used as a reference for science graduates, science teachers, and researchers.

    • Intelligent Computing Techniques in Biomedical Imaging

      • 1st Edition
      • August 23, 2024
      • Bikesh Kumar Singh + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 9 9 9 2
      • eBook
        9 7 8 0 4 4 3 1 6 0 0 0 4
      Intelligent Computing Techniques in Biomedical Imaging: Methods, Case Studies, and Applications provides comprehensive and state-of-the-art applications of Computational Intelligence techniques used in biomedical image analysis for disease detection and diagnosis. The book offers readers a stepwise approach from fundamental to advanced techniques using real-life medical examples and tutorials. The editors have divided the book into five sections, from prerequisites to case studies. Section I presents the prerequisites, where the reader will find fundamental concepts needed for advanced topics covered later in this book. This primarily includes a thorough introduction to Artificial Intelligence, probability theory and statistical learning. The second section covers Computational Intelligence methods for medical image acquisition and pre-processing for biomedical images. In this section, readers will find AI applied to conventional and advanced biomedical imaging modalities such as X-rays, CT scan, MRI, Mammography, Ultrasound, MR Spectroscopy, Positron Emission Tomography (PET), Ultrasound Elastography, Optical Coherence Tomography (OCT), Functional MRI, Hybrid Modalities, as well as pre-processing topics such as medical image enhancement, segmentation, and compression. Section III covers description and representation of medical images. Here the reader will find various categories of features and their relevance in different medical imaging tasks. This section also discusses feature selection techniques based on filter method, wrapper method, embedded method, and more. The fourth section covers Computational Intelligence techniques used for medical image classification, including Artificial Neural Networks, Support Vector Machines, Decision Trees, Nearest Neighbor Classifiers, Random Forest, clustering, extreme learning, Convolution Neural Networks (CNN), and Recurrent Neural Networks. This section also includes a discussion of computer aided diagnosis and performance evaluation in radiology. The final section of Intelligent Computing Techniques in Biomedical Imaging provides readers with a wealth of real-world Case Studies for Computational Intelligence techniques in applications such as neuro-developmental disorders, brain tumor detection, breast cancer detection, bone fracture detection, pulmonary imaging, thyroid disorders, imaging technologies in dentistry, diagnosis of ocular diseases, cardiovascular imaging, and multimodal imaging.

    • Circuits, Signals, and Systems for Bioengineers

      • 4th Edition
      • July 19, 2024
      • John Semmlow
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 8 8 6 5
      • eBook
        9 7 8 0 4 4 3 1 5 8 8 7 2
      Circuits, Signals, and Systems for Bioengineers: A MATLAB-Based Introduction, Fourth Edition, guides the reader through the electrical engineering principles that can be applied to biological systems. It details the basic engineering concepts that underlie biomedical systems, medical devices, biocontrol, and biomedical signal analysis, providing a solid foundation for students in important bioengineering concepts. Fully revised and updated to better meet the needs of instructors and students, the fourth edition expands on concepts introduced in the previous edition through computational methods that allow students to explore operations, such as correlations, convolution, the Fourier transform, and the transfer function. New medical examples and applications are included throughout the text.

    • Genomics, Populations, and Society

      • 1st Edition
      • November 12, 2024
      • Dhavendra Kumar + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 1 7 9 9 5
      • eBook
        9 7 8 0 3 2 3 9 7 1 9 9 7
      Genomics, Populations, and Society, a new volume in the Genomic and Precision Medicine in Clinical Practice series, considers the vast and thorny web of ELSI topics in genomics, from bioethics to healthcare applications, healthcare economics, genomic data management, and population dynamics. Emphasis is placed on the impact of rapid genomic advances on ethical, sociocultural and lifestyle dimensions. Healthcare and health economics topics include genomics and digital health, genome editing, and genomics and infectious disease management. Legal issues related to data ownership, equity, access, probity, consent, and confidentiality are also discussed in-depth, along with sociocultural topics such as community engagement, consanguinity, and more.Here, a range of readers from researchers to clinicians, policy administrators, lawyers, economists and social scientists will discover carefully crafted, synthesized discussions on ELSI topics in genomics to power new scientific advances and genomic medicine implementation.

    • Substance P

      • 1st Edition
      • November 6, 2024
      • Robert Vink
      • English
      • Paperback
        9 7 8 0 4 4 3 2 2 1 9 4 1
      • eBook
        9 7 8 0 4 4 3 2 2 1 9 5 8
      Substance P: From Pain to Cancer, a volume in the Molecular Mediators in Health and Disease: How Cells Communicate series, provides a complete discussion of substance P biology, its role in normal physiology and a variety of diseases.The volume provides an introduction to substance P and its pharmacology, followed by exploring its role across the human body including cardiovascular function, micturition, learning and memory, emesis, respiration and sleep. It then discusses the critical role of substance P in several disease states including acute brain injury, neurodegeneration, seizures, depression and anxiety, cancer, musculoskeletal disorders, and viral infection, including COVID-19. The book closes with a look towards future perspectives for substance P.Substance P: From Pain to Cancer is an ideal reference for researchers across the life sciences interested in understanding the role of this multi-functioning mediator and its biological significance.

    • Predictive Analytics using MATLAB(R) for Biomedical Applications

      • 1st Edition
      • September 26, 2024
      • L. Ashok Kumar
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 8 8 8 2
      • eBook
        9 7 8 0 4 4 3 2 9 8 8 9 9
      Predictive Analytics using MATLAB(R) for Biomedical Applications is a comprehensive and practical guide for biomedical engineers, data scientists, and researchers on how to use predictive analytics techniques in MATLAB(R) for solving real-world biomedical problems. The book offers a technical overview of various predictive analytics methods and covers the utilization of MATLAB(R) for implementing these techniques. It includes several case studies that demonstrate how predictive analytics can be applied to real-world biomedical problems, such as predicting disease progression, analyzing medical imaging data, and optimizing treatment outcomes.With a plethora of examples and exercises, this book is the ultimate tool for reinforcing one’s knowledge and skills.

    • Neonatal Intensive Care for Extremely Preterm Infants

      • 1st Edition
      • September 19, 2024
      • Satoshi Kusuda + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 3 1 0 0
      • eBook
        9 7 8 0 4 4 3 2 7 3 1 1 7
      Neonatal Intensive Care for Extremely Preterm Infants: Japanese NICU Practices to Prevent Mortality and Morbidities presents the latest updates from top Japanese researchers at top Japanese institutions who come together to share their knowledge and implementation strategies globally. Utilizing the same drugs and devices found in NICUs worldwide, this title reviews how Japanese NICUs use them most effectively to improve outcomes in highest-risk infants.Chapters cover resuscitation and respiratory care, circulatory support, neurological care, fluid management, nutrition support, and infection control. Final chapters are devoted to sharing details of the Japanese NICU clinical environment as well as best practices for extremely preterm infant follow-up after NICU discharge. Researchers and clinicians worldwide will find this title to be an invaluable resource in improving outcomes for this most vulnerable population.

    • Allergic Asthma Immunopathogenesis

      • 1st Edition
      • May 27, 2024
      • Seyyed Shamsadin Athari + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 5 0 2 4
      • eBook
        9 7 8 0 4 4 3 1 5 5 0 3 1
      Allergic Asthma Immunopathogenesis: Immunopathology of the Allergic Asthma presents a new glance to the allergic asthma pathophysiology by focusing on the immunopathogenesis and allergo-inflammation mechanisms of asthma and cell signaling pathways that can be used for various research purposes, including the design of anti-asthma treatment and target therapy for scientists and researchers. As asthma is a chronic, complicated airway disease whose mortality and morbidity rates have increased worldwide, some common treatments for asthma cannot control it nor even prevent simple inflammation and relieve shortness of breath. Thus, understanding its molecular pathways and pathophysiology is required in order to better understand the disease.

    • Many-Sorted Algebras for Deep Learning and Quantum Technology

      • 1st Edition
      • February 3, 2024
      • Charles R. Giardina
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 6 9 7 9
      • eBook
        9 7 8 0 4 4 3 1 3 6 9 8 6
      Many-Sorted Algebras for Deep Learning and Quantum Technology presents a precise and rigorousdescription of basic concepts in quantum technologies and how they relate to deep learning and quantum theory. Current merging of quantum theory and deep learning techniques provides the need for a source that gives readers insights into the algebraic underpinnings of these disciplines. Although analytical, topological, probabilistic, as well as geometrical concepts are employed in many of these areas, algebra exhibits the principal thread; hence, this thread is exposed using many-sorted algebras. This book includes hundreds of well-designed examples that illustrate the intriguing concepts in quantum systems. Along with these examples are numerous visual displays. In particular, the polyadic graph shows the types or sorts of objects used in quantum or deep learning. It also illustrates all the inter and intra-sort operations needed in describing algebras. In brief, it provides the closure conditions. Throughout the book, all laws or equational identities needed in specifying an algebraic structure are precisely described.

    • Frozen Shoulder

      • 1st Edition
      • January 25, 2024
      • Filip Struyf
      • English
      • Hardback
        9 7 8 0 4 4 3 1 5 9 9 5 4
      • eBook
        9 7 8 0 4 4 3 1 5 9 9 6 1
      Frozen Shoulder: Present and Future provides insights into one of the most mysterious diseases of the human body, frozen shoulder, a condition characterized by severe shoulder pain and functional restriction of shoulder motion. About 4% of the general population develops a frozen shoulder, with numbers rising to 59% in patients with diabetes mellitus. It curiously only develops between the age of 40 and 60 years, affects more women than men, and seems to be more common in patients with sedentary jobs. Disease duration varies between 1 and 3 years and consequently has a large impact on health and economic well-being.

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