Skip to main content
Elsevier

Academic Press

  • Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care

    • 1st Edition
    • Amy Neustein + 1 more
    • English
    In recent years, scientific research and translation medicine have placed increased emphasis on computational methodology and data curation across many disciplines, both to advance underlying science and to instantiate precision-medicine protocols in the lab and in clinical practice. The nexus of concerns related to oncology, cardiology, and virology (SARS-CoV-2) presents a fortuitous context within which to examine the theory and practice of biomedical data curation. Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care argues that a well-rounded approach to data modeling should optimally embrace multiple perspectives inasmuch as data-modeling is neither a purely formal nor a purely conceptual discipline, but rather a hybrid of both. On the one hand, data models are designed for use by computer software components, and are, consequently, constrained by the mechanistic demands of software environments; data modeling strategies must accept the formal rigors imposed by unambiguous data-sharing and query-evaluation logic. In particular, data models are not well-suited for software-level deployment if such models do not translate seamlessly to clear strategies for querying data and ensuring data integrity as information is moved across multiple points. On the other hand, data modeling is, likewise, constrained by human conceptual tendencies, because the information which is managed by databases and data networks is ultimately intended to be visualized/utilized by humans as the end-user. Thus, at the intersection of both formal and humanistic methodology, data modeling takes on elements of both logico-mathematical frameworks (e.g., type systems and graph theory) and conceptual/philosoph... paradigms (e.g., linguistics and cognitive science). The authors embrace this two-sided aspect of data models by seeking non-reductionistic points of convergence between formal and humanistic/conceptua... viewpoints, and by leveraging biomedical contexts (viz., COVID, Cancer, and Cardiac Care) so as to provide motivating examples and case-studies in this volume.

  • Modeling Electrochemical Dynamics and Signaling Mechanisms in Excitable Cells with Pathological Case Studies

    • 1st Edition
    • Tetsuya Watanabe
    • English
    Modeling Electrochemical Dynamics and Signaling Mechanisms in Excitable Cells with Pathological Case Studies covers the neuronal cell communication system in excitable cells, recognizing the most relevant mechanisms of cell communication. Along with new findings in biotechnology, medicine and pathological cases for clinicians, the book highlights electrochemical potential in living nerve and muscle cells. Written for physiological scientists, pharmaceutical scientists, medical doctors, biologists and physicists, this book an essential read for a real understanding of the signals as we see them.

  • Current Topics in iPSCs Technology

    • 1st Edition
    • Volume 17
    • Alexander Birbrair
    • English
    Current Topics in iPSCs provides a deep analysis of the underlying fundamentals that support short and mid-term developments and milestones in the business of mesenchymal stem cell therapies. This volume explores the next frontier of MSC therapies and how the transformational potential of therapeutic adult cells will be realised in all therapy areas. The impacts of clinical and economic benefits are dissected throughout each of the chapters. Written by thought leaders in the field for those curious about the interface of science and business.

  • Differential Equations with Mathematica

    • 5th Edition
    • Martha L. Abell + 1 more
    • English
    Differential Equations with Mathematica, Fifth Edition uses the fundamental concepts of the popular platform to solve (analytically, numerically, and/or graphically) differential equations of interest to students, instructors, and scientists. Mathematica’s diversity makes it particularly well suited to performing calculations encountered when solving many ordinary and partial differential equations. In some cases, Mathematica’s built-in functions can immediately solve a differential equation by providing an explicit, implicit, or numerical solution. In other cases, Mathematica can be used to perform the calculations encountered when solving a differential equation. Because one goal of elementary differential equations courses is to introduce students to basic methods and algorithms so that they gain proficiency in them, nearly every topic covered this book introduces basic commands, also including typical examples of their application. A study of differential equations relies on concepts from calculus and linear algebra, so this text also includes discussions of relevant commands useful in those areas. In many cases, seeing a solution graphically is most meaningful, so the book relies heavily on Mathematica’s outstanding graphics capabilities.

  • Biomarkers in Bipolar Disorders

    • 1st Edition
    • Rodrigo Machado-Vieira + 1 more
    • English
    Biomarkers in Bipolar Disorders summarizes cutting-edge findings in biomarkers' research, emphasizing the most promising findings, tools and technologies relevant to drug development and personalized medicine. Key findings cover different levels of evidence such as genes, molecules, cells, systems, brain and behavior related to diagnosis (state and trait/endophenotypes... prediction of treatment response and follow-up outcomes, along with the most promising perspectives in each area. Each section includes a comprehensive and focused overview on the state-of-the-art and perspectives. The book concludes with a section on practical applications, encompassing diagnostics development (genetic testing, biomarkers), and new drug development. Edited by Dr. Rodrigo Machado-Vieira and Dr. Jair C. Soares, and contributed by leading experts in the field of biomarker research, this book will be become the leading tool for all researchers and clinicians in Bipolar Disorder.

  • Chronic Obstructive Pulmonary Disease (COPD) Diagnosis using Electromyography (EMG)

    • 1st Edition
    • Archana Bajirao Kanwade + 1 more
    • English
    Chronic Obstructive Pulmonary Disease (COPD) Diagnosis using Electromyography (EMG) presents a new and innovative method of COPD diagnosis using EMG to analyze sternomastoid muscle activity using features extraction and classification. The book describes the methodology of EMG analysis, the slope-based onset detection algorithm and SEMG analysis in time, frequency and time frequency domain analyses. It also explores the identification of frequencies for single frequency Continuous Wavelet Transform (CWT) analysis and feature extraction and selection for successful classification COPD into its severity grades. The book provides a compilation of all techniques used in the literatures and emphasizes newly proposed techniques for the early detection of COPD. Fully comprehensive, the book includes discussion of limitations of existing methods for COPD diagnosis and introduces new efficient methods for COPD identification, classification and early diagnosis.

  • Intelligent Sensing and Communications for Internet of Everything

    • 1st Edition
    • Zhengyu Zhu + 2 more
    • English
    Intelligent Sensing and Communications for Internet of Everything introduces three application scenarios of enhanced mobile broadband (eMBB), large-scale machine connection (mMTC) and ultra reliable low latency communication (URLLC). A new communication model, namely backscatter communication (BackCom), intelligent reflector surface (IRS) and unmanned aerial vehicle (UAV) technology in Internet of Everything (IoE), is described in detail. Also focusing on millimeter wave, the book discusses the potential application of terahertz 6G network spectrum in the Internet of Things (IoT). Finally, the applications of IoE network in big data, artificial intelligence (AI) technology and fog/edge computing technology are proposed.

  • Antiangiogenic Drugs as Chemosensitizers in Cancer Therapy

    • 1st Edition
    • Volume 18
    • English
    Anti-angiogenic Drugs as Chemosensitizers in Cancer Therapy, Volume 19 focuses on the use of anti-angiogenic drugs as sensitizers of tumor cells to the inhibitory activity of antitumor agents. Conventional and novel anti-neoplastic agents (cytotoxic molecules, hormones/antihormone... immunotherapies) are taken into consideration, along with advances made in combination therapies. The book encompasses examples of studies on the use of antiangiogenic compounds—molecules that inhibit the growth of vessels inside a tumor—together with antineoplastic drugs in order to sensitize the resistant tumor to their cytotoxic effects, thus reducing adverse side reactions and resistance and improving the therapeutic response of cancer patients. In addition, the book discusses clinical applications in various types of cancer, such as colorectal, lung, breast, renal, genitourinary, skin and brain and circulating tumors. It is a valuable resource for cancer researchers, clinicians and members of the biomedical field who wants to be up-to-date on the most recent and promising developments in the field.

  • Advanced Data Mining Tools and Methods for Social Computing

    • 1st Edition
    • Sourav De + 3 more
    • English
    Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social network analysis. The book reviews major emerging trends in technology that are supporting current advancements in social networks, including data mining techniques and tools. It also aims to highlight the advancement of conventional approaches in the field of social networking. Chapter coverage includes reviews of novel techniques and state-of-the-art advances in the area of data mining, machine learning, soft computing techniques, and their applications in the field of social network analysis.

  • Advances in Protein Molecular and Structural Biology Methods

    • 1st Edition
    • Timir Tripathi + 1 more
    • English
    Advances in Protein Molecular and Structural Biology Methods offers a complete overview of the latest tools and methods applicable to the study of proteins at the molecular and structural level. The book begins with sections exploring tools to optimize recombinant protein expression and biophysical techniques such as fluorescence spectroscopy, NMR, mass spectrometry, cryo-electron microscopy, and X-ray crystallography. It then moves towards computational approaches, considering structural bioinformatics, molecular dynamics simulations, and deep machine learning technologies. The book also covers methods applied to intrinsically disordered proteins (IDPs)followed by chapters on protein interaction networks, protein function, and protein design and engineering. It provides researchers with an extensive toolkit of methods and techniques to draw from when conducting their own experimental work, taking them from foundational concepts to practical application.

Browse by Publisher