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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

    • Lipid Analysis in Biology, Health, and Disease

      • 1st Edition
      • September 15, 2025
      • Sanjoy K. Bhattacharya
      • English
      • Paperback
        9 7 8 0 4 4 3 1 9 1 1 6 9
      • eBook
        9 7 8 0 4 4 3 2 9 1 2 2 7
      Lipid Analysis in Biology, Health, and Disease bridges the gap between discovery science and clinical lipidology, empowering both scientific and medical communities to apply lipid analysis and understanding in new research, as well as diagnosis and management of diseases. Here, international experts in the field begin with the basic biology of the lipids, followed by methods and technology for study, and lipids in lab medicine and epidemiology. This book uniquely combines biology and analysis to drive healthcare advances, with a diverse range of technologies and analytic methods considered.Basic lipid biology chapters discuss membrane expansion, lysosomal positioning, mitochondrial biogenesis, lipid-protein interactions, molecular dynamics, cholesterol transport, immune activation and inflammation, lipid droplets, and gender differences in lipid metabolism. Each disease chapter incorporates basic lipid epidemiology, risk factors, and genetic associations.

    • Williams. Tratado de endocrinología

      • 15th Edition
      • September 15, 2025
      • Shlomo Melmed + 2 more
      • Spanish
      • Hardback
        9 7 8 8 4 1 3 8 2 8 7 9 4
      • eBook
        9 7 8 8 4 1 3 8 2 9 6 8 5
      Revisada y exhaustivamente actualizada, Williams. Tratado de endocrinología, 15.ª edición, sigue siendo la principal fuente de información acreditada acerca de los trastornos del sistema endocrino adulto y pediátrico. Autores y editores de renombre mundial tienden puentes entre la ciencia básica y la información clínica, manteniendo al lector al día de los últimos avances en fármacos, terapias y ensayos clínicos, entre otros muchos temas. Este texto esencial constituye un recurso imprescindible para endocrinólogos, cirujanos endocrinos, ginecólogos, internistas, pediatras y otros profesionales que precisan una cobertura actual y completa de este multifacético campo.

    • Generative Artificial Intelligence and Ethics for Healthcare

      • 1st Edition
      • September 12, 2025
      • Loveleen Gaur + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 1 2 4 4
      • eBook
        9 7 8 0 4 4 3 3 3 1 2 5 1
      Generative Artificial Intelligence and Ethics for Healthcare conducts a deep dive into the potential issues and challenges associated with Generative AI applications. The book begins with foundational concepts of generative AI and then explores ethical theories, including specific case studies in healthcare, and concludes with discussions on policy and future implications. Written for healthcare professionals, policymakers, academics and AI developers, by authors who have a thorough understanding of AI and machine learning in the healthcare.

    • Federated Learning in Metaverse Healthcare

      • 1st Edition
      • September 12, 2025
      • Shubham Mahajan + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 7 8 9 5
      • eBook
        9 7 8 0 4 4 3 3 3 7 9 0 1
      Federated Learning in Metaverse Healthcare: Personalized Medicine and Wellness explores the integration of the metaverse with healthcare, offering immersive experiences and personalized care. The book introduces federated learning, emphasizing its advantages over traditional centralized machine learning in healthcare. It provides a historical context and discusses the technological advancements that led to the emergence of metaverse healthcare. Privacy-preserving methods crucial for protecting sensitive healthcare data within federated learning environments are also examined, underscoring the importance of secure communication protocols. Other important points include the transformation of healthcare delivery through virtual environments, remote consultations, and immersive experiences.The role of telemedicine in facilitating remote diagnostics and consultations via virtual platforms, and the applications of augmented reality wearables for real-time health monitoring and wellness tracking are detailed. Additionally, the book discusses federated learning's ability to deliver personalized treatment plans tailored to individual patient needs, its role in predictive modeling for disease risks and prevention, as well as virtual health coaches offering personalized guidance for wellness management. The challenges and ethical dilemmas of metaverse healthcare and federated learning, along with potential solutions, are also considered.

    • Protein Structure Prediction and Analysis

      • 1st Edition
      • Volume 147
      • September 12, 2025
      • English
      • Hardback
        9 7 8 0 4 4 3 2 9 4 1 2 9
      • eBook
        9 7 8 0 4 4 3 2 9 4 1 3 6
      Protein Structure Prediction and Analysis, Volume 146 offers a comprehensive exploration of the methodologies, tools, and techniques utilized in the prediction and analysis of protein structures. The book delves into the fundamental principles of protein folding, modeling, and computational simulations, providing insights into the intricate process of predicting the three-dimensional structures of proteins. Sections in this new release include coverage of Current approaches for protein structure prediction and design, Protein Modelling, Prediction servers and applications in molecular modelling, Toward accurate in silico prediction of antigen binding affinities in antibody engineering, Molecular Blueprints: Guiding Drug Discovery through Protein Structure Analysis, and much more.Additional sections focus on Protein Structure Prediction Using Dynamic Speciation Evolutionary Algorithm with Problem Information Aggregation, Tau protein structure and dynamics, Tau interacts with G-protein coupled receptors (GPCRs), How to accurately predict nanobody structure: Classical physics-based simulations or deep learning approaches, Medicinal Chemistry-based Novel Therapeutics for Tauopathies in Alzheimer’s Disease, Mapping the Pathogenic Nexus: Gene Overlap and Protein Interaction Networks in Alzheimer's and Breast Cancer as a Precursor to Protein Structure Prediction and Analysis, and much more.

    • Nanotheranostics and Precision Oncology

      • 1st Edition
      • September 11, 2025
      • Ramish Riaz + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 6 7 1 2
      • eBook
        9 7 8 0 4 4 3 3 4 6 7 2 9
      Nanotheranostics and Precision Oncology delves into the merging fields of cancer research and nanotechnology, offering a thorough review of the latest advancements in precision oncology. It begins with an exploration of cancer biology, illuminating the genetic foundations of oncogenesis alongside the cellular and molecular mechanisms driving cancer progression, metastasis, and drug resistance. This resistance remains the foremost challenge in cancer care. Across 28 chapters, the book addresses precision medicine's role in overcoming drug resistance, the importance of biomarkers, the interpretation of genetic analyses, and the shift toward personalized oncology.In addition, the book examines nanotheranostics' applications and mechanisms in cancer diagnosis and treatment, integrating them with precision oncology. It outlines the design, mechanism, and impact of nanoprecision medicine in cancer management. The final section considers the future of nanotheranostics in precision oncology and the challenges of translating these innovations from research to clinical practice. This comprehensive guide serves students, clinicians, researchers, and the pharmaceutical industry involved in nanomedicine, oncology, molecular biology, and precision medicine.

    • Plant-Based Drug Discovery

      • 1st Edition
      • September 9, 2025
      • Mamta Bisht + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 1 6 9 8 2
      • eBook
        9 7 8 0 4 4 3 3 1 6 9 9 9
      Plant-Based Drug Discovery: Unveiling Molecular Targets for Metabolic Conditions provides an in-depth examination of the molecular mechanisms of phytochemicals and their potential in treating metabolic diseases. This comprehensive guide begins with an introduction to the prevalence and impact of metabolic disorders, emphasizing the significant role of phytochemicals in their management. The book delves into scientific concepts and research findings, offering valuable insights for researchers and healthcare professionals in the fields of molecular biology, biochemistry, pharmacology, and biotechnology. Chapters cover various crucial topics such as oxidative stress, epigenetic mechanisms, and mitophagy.In addition, they explore the targeting of molecular chaperones and the molecular targets of plant nutraceuticals for treating obesity, cardiovascular disease, and type 2 diabetes. The book also addresses technological advances, including AI and nanotechnology, highlighting opportunities and challenges in improving the use of plant molecules for metabolic disorder treatments. It serves as an essential resource for those engaged in drug discovery and related areas.

    • Animal Models of Disease Part D

      • 1st Edition
      • Volume 197
      • September 9, 2025
      • English
      • Hardback
        9 7 8 0 4 4 3 2 2 2 4 4 3
      • eBook
        9 7 8 0 4 4 3 2 2 2 4 5 0
      Animal Models of Disease, Part D, Volume 197 in the Methods in Cell Biology series presents significant advancements in understanding disease mechanisms through animal models. This volume features chapters on timely topics such as characterizing tumor-infiltrating group 1 innate lymphoid cells in PyMT breast tumors and using zebrafish to unravel the molecular mechanisms of Alzheimer’s disease. The book also covers colitis mouse models and appropriate models for studying diabetes pathophysiology, demonstrating its comprehensive approach to current research.Additional sections cover evaluating polyglutamine protein aggregation in transgenic Caenorhabditis elegans models of Huntington's disease and studying tumor responses to radioimmunotherapy in ovarian cancer models. It also highlights the antimicrobial regime for gut microbiota depletion in mice and the biodistribution of metallic nanoparticles for lymphoma studies. This book is an essential resource for researchers seeking to explore disease mechanisms and therapeutic approaches through animal models.

    • Handbook of Intervention Science

      • 1st Edition
      • September 9, 2025
      • Laura N.Gitlin + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 6 6 4 0
      • eBook
        9 7 8 0 4 4 3 2 1 6 6 5 7
      Handbook of Intervention Science: From Design to Implementation discusses multiple approaches for developing and advancing interventions at the individual, family, community, health system, and policy level. The book focuses on creating interventions suitable for diverse populations from racial, ethnical, geographical, and socioeconomical perspectives. Combining best practices with a practical approach, the book enables readers to advance their intervention research. It covers intervention design, data capture in trials, and evaluation. Decision trees help illustrate when to move forward with an implementation relative to the need for further work.

    • Less-Supervised Segmentation with CNNs

      • 1st Edition
      • September 9, 2025
      • Jose Dolz + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 6 7 4 1
      • eBook
        9 7 8 0 3 2 3 9 5 6 7 5 8
      Less-Supervised Segmentation with CNNs: Scenarios, Models and Optimization reviews recent progress in deep learning for image segmentation under scenarios with limited supervision, with a focus on medical imaging. The book presents main approaches and state-of-the-art models and includes a broad array of applications in medical image segmentation, including healthcare, oncology, cardiology and neuroimaging. A key objective is to make this mathematical subject accessible to a broad engineering and computing audience by using a large number of intuitive graphical illustrations. The emphasis is on giving conceptual understanding of the methods to foster easier learning.This book is highly suitable for researchers and graduate students in computer vision, machine learning and medical imaging.

Related subjects

Biochemistry biophysics

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Physiology