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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

    • Evolutionary Diversity as a Source for Anticancer Molecules

      • 1st Edition
      • September 21, 2020
      • Akhileshwar Kumar Srivastava + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 1 7 1 0 8
      • eBook
        9 7 8 0 1 2 8 2 1 6 9 8 9
      Evolutionary Diversity as a Source for Anticancer Molecules discusses evolutionary diversity as source for anticancer agents derived from bacteria, algae, bryophytes, pteridophytes, and gymnosperms. The book goes over the isolation of anticancer agents and the technologyenabled screening process used to develop anticancer drugs. The book also includes discussion of the nutraceuticals and natural productsderived from invertebrates that can be used as part of cancer treatment. Evolutionary Diversity as a Source for Anticancer Molecules also deals with some of the current challenges in the prevention of cancer as well as the side effects of conventional drugs used for cancer patients.This book is a valuable resource for cancer researchers, oncologists, biotechnologists, pharmacologists, and any member of the biomedicalfield interested in understanding more about natural products with anticancer potential.

    • Human Physiology in Extreme Environments

      • 2nd Edition
      • October 18, 2020
      • Hanns-Christian Gunga
      • English
      • Paperback
        9 7 8 0 1 2 8 1 5 9 4 2 2
      • eBook
        9 7 8 0 1 2 8 1 5 9 4 3 9
      Human Physiology in Extreme Environments, Second Edition, offers evidence on how human biology and physiology is affected by extreme environments, also highlighting technological innovations that allow us to adapt and regulate environments. Covering a broad range of extreme environments, including high altitude, underwater, tropical climates, desert climates, arctic climates and space travel, the book also includes case studies that can be used to illustrate practical application. Graduate students, medical students and researchers will find this to be an interesting, informative and useful resource for human physiology, environmental physiology and medical studies.

    • Introduction to the Constraints-Led Approach

      • 1st Edition
      • September 9, 2020
      • Ben Bell
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 0 2 6 1
      • eBook
        9 7 8 0 3 2 3 8 5 0 2 7 8
      Introduction to the Constraints-Led Approach: Application in Football is a coaching resource football coaches can use to understand key theoretical components of the constraints-led approach. Sections discuss ecological dynamics, perception-action, degrees of freedom and complexity theory. Examples are provided within theoretical chapters to assist readers in their practical application. Over 30 designed practices using the constraints-led approach show readers how the theory translates into practice. These are ordered by the aim of the practice, from in possession, to defensive transition, to out of possession and attacking transition. Currently, there are no books on the market covering the constraints-led approach specific to football. The aim is to make this book accessible to football coaches without the necessity to focus solely on academic theory.

    • Machine Learning in Cardiovascular Medicine

      • 1st Edition
      • November 20, 2020
      • Subhi J. Al'Aref + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 2 7 3 9
      • eBook
        9 7 8 0 1 2 8 2 0 2 7 4 6
      Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine.

    • Mesenchymal Stem Cells in Human Health and Diseases

      • 1st Edition
      • January 7, 2020
      • Ahmed El-Hashash
      • English
      • Paperback
        9 7 8 0 1 2 8 1 9 7 1 3 4
      • eBook
        9 7 8 0 1 2 8 2 0 5 3 3 4
      Mesenchymal Stem Cells in Human Health and Diseases provides a contemporary overview of the fast-moving field of MSC biology, regenerative medicine and therapeutics. MSCs offer the potential to dramatically reduce human suffering from disease. Numerous MSC-based studies are ongoing each year, each offering hope for novel treatments in human disease. This book provides information on MSC application in well-studied human diseases and tissue repair/regeneration and recent advances in their research and treatment. These discoveries are placed within the structural context of tissue and developmental biology in sections dealing with recent advances in our understanding of MSC biology.

    • Deep Learning for Data Analytics

      • 1st Edition
      • May 29, 2020
      • Himansu Das + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 9 7 6 4 6
      • eBook
        9 7 8 0 1 2 8 2 2 6 0 8 7
      Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics techniques in large scale environments. Deep learning algorithms are based on artificial neural network models to cascade multiple layers of nonlinear processing, which aids in feature extraction and learning in supervised and unsupervised ways, including classification and pattern analysis. Deep learning transforms data through a cascade of layers, helping systems analyze and process complex data sets. Deep learning algorithms extract high level complex data and process these complex sets to relatively simpler ideas formulated in the preceding level of the hierarchy. The authors of this book focus on suitable data analytics methods to solve complex real world problems such as medical image recognition, biomedical engineering, and object tracking using deep learning methodologies. The book provides a pragmatic direction for researchers who wish to analyze large volumes of data for business, engineering, and biomedical applications. Deep learning architectures including deep neural networks, recurrent neural networks, and deep belief networks can be used to help resolve problems in applications such as natural language processing, speech recognition, computer vision, bioinoformatics, audio recognition, drug design, and medical image analysis.

    • Sex and Cardiac Electrophysiology

      • 1st Edition
      • July 10, 2020
      • Marek Malik
      • English
      • Hardback
        9 7 8 0 1 2 8 1 7 7 2 8 0
      • eBook
        9 7 8 0 1 2 8 1 7 7 2 9 7
      Sex and Cardiac Electrophysiology: Differences in Cardiac Electrical Disorders Between Men and Women is a comprehensive investigation into all aspects of sex differences in cardiac electrophysiology. As there are substantial differences between female and male patients in physiology, pathology triggering factors, disease progression, clinical approaches and treatment outcome, this book provides a comprehensive examination. In cardiology, the differences between women and men are more recognized, hence this title summarizes these important differences, providing the essential information needed for clinical specialists and researchers involved in the design and implementation of clinical studies.

    • Artificial Intelligence in Medicine

      • 1st Edition
      • September 3, 2020
      • Lei Xing + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 1 2 5 9 2
      • eBook
        9 7 8 0 1 2 8 2 1 2 5 8 5
      Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine.

    • BEST

      • 1st Edition
      • February 18, 2020
      • Lorena Infante Lara + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 7 5 9 8
      • eBook
        9 7 8 0 1 2 8 2 0 8 8 9 2
      BEST: Implementing Career Development Activities for Biomedical Research Trainees provides an instructional guide for institutions wanting to create, supplement or improve their career and professional development offerings. Each chapter provides an exclusive perspective from an administrator from the 17 Broadening Experiences in Scientific Training (BEST) institutions. The book can aid institutions who train graduate students in a variety of careers by teaching faculty and staff how to create and implement career development programming, how to highlight the effectiveness of offerings, how to demonstrate that creating a program from scratch is doable, and how to inform faculty and staff on getting institutional buy-in. This is a must-have for graduate school deans and faculty and staff who want to implement and institutionalize career development programing at their institutions. It is also ideal for graduate students and postdocs.

    • Concepts and Experimental Protocols of Modelling and Informatics in Drug Design

      • 1st Edition
      • November 5, 2020
      • Om Silakari + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 5 4 6 4
      • eBook
        9 7 8 0 1 2 8 2 0 5 4 7 1
      Concepts and Experimental Protocols of Modelling and Informatics in Drug Design discusses each experimental protocol utilized in the field of bioinformatics, focusing especially on computer modeling for drug development. It helps the user in understanding the field of computer-aided molecular modeling (CAMM) by presenting solved exercises and examples. The book discusses topics such as fundamentals of molecular modeling, QSAR model generation, protein databases and how to use them to select and analyze protein structure, and pharmacophore modeling for drug targets. Additionally, it discusses data retrieval system, molecular surfaces, and freeware and online servers. The book is a valuable source for graduate students and researchers on bioinformatics, molecular modeling, biotechnology and several members of biomedical field who need to understand more about computer-aided molecular modeling.

Related subjects

Biochemistry biophysics

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Life sciences general

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Physiology