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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

    • Healthcare Paradigms in the Internet of Things Ecosystem

      • 1st Edition
      • November 7, 2020
      • Valentina Emilia Balas + 1 more
      • English
      • Paperback
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      • eBook
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      Health Care Paradigms in the Internet of Things Ecosystem brings all IoT-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT-enabled health care ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes the reader on a journey that begins with understanding the healthcare monitoring paradigm in IoT-enabled technologies and how it can be applied in various aspects. In addition, the book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for IoT-based health care. It also helps researchers and practitioners understand the e-health care architecture through IoT and the state-of-the-art in IoT countermeasures. Readers will find this to be a comprehensive discussion on functional frameworks for IoT-based healthcare systems, intelligent medicine, RFID technology, HMI, Cognitive Interpretation, Brain-Computer Interface, Remote Health Monitoring systems, wearable sensors, WBAN, and security and privacy issues in IoT-based health care monitoring systems.

    • The Human Mitochondrial Genome

      • 1st Edition
      • July 23, 2020
      • Giuseppe Gasparre + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 9 6 5 6 4
      • eBook
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      The Human Mitochondrial Genome: From Basic Biology to Disease offers a comprehensive, up-to-date examination of human mitochondrial genomics, connecting basic research to translational medicine across a range of disease types. Here, international experts discuss the essential biology of human mitochondrial DNA (mtDNA), including its maintenance, repair, segregation, and heredity. Furthermore, mtDNA evolution and exploitation, mutations, methods, and models for functional studies of mtDNA are dealt with. Disease discussion is accompanied by approaches for treatment strategies, with disease areas discussed including cancer, neurodegenerative, age-related, mtDNA depletion, deletion, and point mutation diseases. Nucleosides supplementation, mitoTALENs, and mitoZNF nucleases are among the therapeutic approaches examined in-depth. With increasing funding for mtDNA studies, many clinicians and clinician scientists are turning their attention to mtDNA disease association. This book provides the tools and background knowledge required to perform new, impactful research in this exciting space, from distinguishing a haplogroup-defining variant or disease-related mutation to exploring emerging therapeutic pathways.

    • A Beginner's Guide to Data Agglomeration and Intelligent Sensing

      • 1st Edition
      • February 19, 2020
      • Amartya Mukherjee + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 3 4 1 5
      • eBook
        9 7 8 0 1 2 8 2 0 3 4 5 3
      A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are explained briefly, as is data gathering in wireless sensor networks and aggregation procedures. Final sections explore how to process gathered data and relay the data in an intelligent way, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining and smart systems.

    • Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities

      • 1st Edition
      • March 30, 2020
      • Rebecca Sanft + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 9 5 9 5 6
      • eBook
        9 7 8 0 1 2 8 1 9 5 9 6 3
      Exploring Mathematical Modeling in Biology through Case Studies and Experimental Activities provides supporting materials for courses taken by students majoring in mathematics, computer science or in the life sciences. The book's cases and lab exercises focus on hypothesis testing and model development in the context of real data. The supporting mathematical, coding and biological background permit readers to explore a problem, understand assumptions, and the meaning of their results. The experiential components provide hands-on learning both in the lab and on the computer. As a beginning text in modeling, readers will learn to value the approach and apply competencies in other settings. Included case studies focus on building a model to solve a particular biological problem from concept and translation into a mathematical form, to validating the parameters, testing the quality of the model and finally interpreting the outcome in biological terms. The book also shows how particular mathematical approaches are adapted to a variety of problems at multiple biological scales. Finally, the labs bring the biological problems and the practical issues of collecting data to actually test the model and/or adapting the mathematics to the data that can be collected.

    • Epigenetics Methods

      • 1st Edition
      • Volume 18
      • July 2, 2020
      • Trygve O. Tollefsbol
      • English
      • Paperback
        9 7 8 0 1 2 8 1 9 4 1 4 0
      • eBook
        9 7 8 0 1 2 8 1 9 4 1 5 7
      In recent years, the field of epigenetics has grown significantly, driving new understanding of human developmental processes and disease expression, as well as advances in diagnostics and therapeutics. As the field of epigenetics continues to grow, methods and technologies have multiplied, resulting in a wide range of approaches and tools researchers might employ. Epigenetics Methods offers comprehensive instruction in methods, protocols, and experimental approaches applied in field of epigenetics. Here, across thirty-five chapters, specialists offer step-by-step overviews of methods used to study various epigenetic mechanisms, as employed in basic and translational research. Leading the reader from fundamental to more advanced methods, the book begins with thorough instruction in DNA methylation techniques and gene or locus-specific methylation analyses, followed by histone modification methods, chromatin evaluation, enzyme analyses of histone methylation, and studies of non-coding RNAs as epigenetic modulators. Recently developed techniques and technologies discussed include single-cell epigenomics, epigenetic editing, computational epigenetics, systems biology epigenetic methods, and forensic epigenetic approaches. Epigenetics methods currently in-development, and their implication for future research, are also considered in-depth. In addition, as with the wider life sciences, reproducibility across experiments, labs, and subdisciplines is a growing issue for epigenetics researchers. This volume provides consensus-driven methods instruction and overviews. Tollefsbol and contributing authors survey the range of existing methods; identify best practices, common themes, and challenges; and bring unity of approach to a diverse and ever-evolving field.

    • Three Facets of Public Health and Paths to Improvements

      • 1st Edition
      • June 4, 2020
      • Beth Ann Fiedler
      • English
      • Paperback
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      • eBook
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      Three Facets of Public Health and Paths to Improvements provides an overview on how specific indicators like the environment, culture and behavior play a role in developing improved outcomes for public health in local, regional, national and global health policy and concerns. Divided into three sections, the book examines the impact of the environment and social determinants on public health. It also illustrates the interrelation of these facets as predictors of public health, explores their institutional, organizational and individual impacts, and considers the way multiple stakeholders must engage to improve conditions that impact health. The book utilizes various research methods, including fundamental, systematics, qualitative and quantitative. Readers can use the information to inform future research and better understand an existing health problem and outcomes.

    • Systems and Synthetic Metabolic Engineering

      • 1st Edition
      • July 10, 2020
      • Yanfeng Liu + 2 more
      • English
      • Paperback
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      • eBook
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      Systems and Synthetic Metabolic Engineering provides an overview of the development of metabolic engineering within medicine that is fueled by systems and synthetic biology. These newly developed, successful strategies of metabolic engineering guide the audience on how to propose and test proper strategies for metabolic engineering research. In addition to introductory, regulatory and challenges in the field, the book also covers dynamic control and autonomous regulation to control cell metabolism, along with computational modeling and industrial applications. The book is written by leaders in the field, making it ideal for synthetic biologists, researchers, students and anyone working in this area.

    • Swarm Intelligence for Resource Management in Internet of Things

      • 1st Edition
      • August 18, 2020
      • Aboul Ella Hassanien + 1 more
      • English
      • Paperback
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      • eBook
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      Internet of Things (IoT) is a new platform of various physical objects or “things” equipped with sensors, electronics, smart devices, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies such as sensor networks (wearable and implantable), mobile devices, networking, and cloud computing technologies. IoT permits these the smart devices to collect, store and analyze the collected data with limited storage and processing capacities. Swarm Intelligence for Resource Management in the Internet of Things presents a new approach in Artificial Intelligence that can be used for resources management in IoT, which is considered a critical issue for this network. The authors demonstrate these resource management applications using swarm intelligence techniques. Currently, IoT can be used in many important applications which include healthcare, smart cities, smart homes, smart hospitals, environment monitoring, and video surveillance. IoT devices cannot perform complex on-site data processing due to their limited battery and processing. However, the major processing unit of an application can be transmitted to other nodes, which are more powerful in terms of storage and processing. By applying swarm intelligence algorithms for IoT devices, we can provide major advantages for energy saving in IoT devices. Swarm Intelligence for Resource Management in the Internet of Things shows the reader how to overcome the problems and challenges of creating and implementing swarm intelligence algorithms for each application

    • Self-assessment Q&A in Clinical Laboratory Science, III

      • 1st Edition
      • August 25, 2020
      • Alan H.B. Wu
      • English
      • Paperback
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      • eBook
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      Self-assessment Q&A in Clinical Laboratory Science, III, adds a variety of subject matter that addresses new concepts and emerging technology, particularly in the areas of kidney biomarkers, cancer biomarkers, molecular diagnostics, multiple myeloma, pharmacogenomics, novel cardiovascular biomarkers and biomarkers of neurologic diseases. The field of Clinical Laboratory Science continues to evolve and editor Alan Wu has once again brought together experts in the field to cover the contemporary topics that are being tested today. This updated bank of questions and answers is a must-have to sharpen knowledge and skills.

    • The Developing Microbiome

      • 1st Edition
      • May 23, 2020
      • Erika Chiong Claud
      • English
      • Paperback
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      • eBook
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      The Developing Microbiome: Lessons from Early Life focuses on the establishment of the microbiome in early life, exposing it as a key mediator of diseases and health throughout the lifecycle. The content presents a comprehensive view of the status of the field and draws real-world correlations to health and disease states. It collates the significant research being done in the pediatric microbiome research space and bridges the knowledge gap showing the factors that impact health and disease states throughout the lifecycle. Finally, it offers knowledge on how the microbiome is and can be manipulated to promote change. This is a perfect reference for both researchers and clinical scientists who are interested in the role of the infant microbiome in health and disease, as well as gastroenterologists and pediatricians looking to affect change in their patients.

Related subjects

Biochemistry biophysics

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Life sciences general

Molecular biology cellular biology and genetics

Physiology