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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

    • Innovative Nanotechnology: Transforming Skin Cancer Diagnosis and Treatment

      • 1st Edition
      • Volume 169
      • February 1, 2026
      • English
      • Hardback
        9 7 8 0 4 4 3 4 3 0 8 6 2
      • eBook
        9 7 8 0 4 4 3 4 3 0 8 7 9
      Advances in Cancer Research series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

    • Structural Study of Amyloid-β

      • 1st Edition
      • Volume 730
      • April 1, 2026
      • English
      • Hardback
        9 7 8 0 4 4 3 4 2 8 5 3 1
      • eBook
        9 7 8 0 4 4 3 4 2 8 5 4 8

    • Advances in Clinical Chemistry

      • 1st Edition
      • Volume 130
      • January 1, 2026
      • English
      • Hardback
        9 7 8 0 4 4 3 4 7 0 9 4 3
      • eBook
        9 7 8 0 4 4 3 4 7 0 9 5 0
      Advances in Clinical Chemistry series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors. This volume provides invaluable information on the fast-moving field of chemistry research that includes outstanding original reviews on a variety of topics.

    • Molecular Horticulture topics

      • 1st Edition
      • Volume 117
      • February 1, 2026
      • English
      • Hardback
        9 7 8 0 4 4 3 4 1 6 4 8 4
      • eBook
        9 7 8 0 4 4 3 4 1 6 4 9 1
      This volume offers a comprehensive overview of cutting-edge developments in horticultural science. This authoritative collection features expert reviews on the molecular genetics and genomics of key species, including faba bean, tomato, celery, lily, and broccoli, elucidating the mechanisms behind yield, quality, and bioactive compounds. The volume also explores innovative and sustainable cultivation techniques, with in-depth analyses of controlled environment agriculture for leafy greens, the use of organic substrates, and the sensory implications of sustainable practices for Brassica oleracea. Crucial insights into the molecular control of pre- and post-harvest traits, this essential text provides researchers, students, and professionals with a forward-looking synthesis of modern horticultural science and its practical applications.

    • Bladder Cancer Breakthroughs

      • 1st Edition
      • January 1, 2026
      • Bhupendra G. Prajapati + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 6 3 2 1
      • eBook
        9 7 8 0 4 4 3 3 6 6 3 3 8
      Bladder Cancer Breakthroughs: A Global Perspective on Diagnosis, Treatment, and Patient Care is a groundbreaking scientific resource that delves into the latest advancements in the diagnosis and treatment of bladder cancer, a prevalent malignancy affecting hundreds of thousands worldwide. This meticulously curated volume brings together contributions from leading scientists and healthcare professionals from around the globe, providing a comprehensive overview of contemporary understanding and innovative strategies in managing this complex disease. Bladder Cancer Breakthroughs: A Global Perspective on Diagnosis, Treatment, and Patient Care is not merely a collection of research findings; it is a vital resource that fosters a holistic perspective on patient-centered care. By synthesizing clinical expertise and evidence-based practices, this book aims to empower healthcare providers with the knowledge and tools needed to improve outcomes for individuals living with bladder cancer, ultimately contributing to the global fight against this challenging disease. This book serves as an essential guide for healthcare providers, including physicians, oncologists, immunologists, pharmacists, and physical therapists, striving to enhance patient care and treatment outcomes

    • Biostatistical Methods and Applications

      • 1st Edition
      • February 24, 2026
      • Jitendra Kumar Chaudhary
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 7 2 2 2
      • eBook
        9 7 8 0 4 4 3 3 3 7 2 3 9
      Biostatistical Methods and Applications: Experiment Design, Analysis, and Presenting Findings provides students and researchers with the skills needed to apply biostatistical concepts and implement a wide range of analytical tools. The text is an accessible and intentionally curated resource that instructs readers in designing experiments, considering the results, and presenting statistical findings and views. In twenty-four chapters and additional appendices, the book starts with an introduction to the field of statistics and from there covers experiment design, data coding, and data collection methods. The book also delves into descriptive statistics, probability, statistical distributions, correlations, and regression. Common research techniques such as normality tests, sample size determination, missing data analysis, statistical inference, test of significance, and ANOVA are explained in a clear manner so that readers can successfully understand and apply these methods. Biostatistical Methods and Applications: Experiment Design, Analysis, and Presenting Findings thoroughly explores fundamental topics in biostatistics to guide readers in conducting statistical analysis and interpretation by using the step-by-step procedures and diagrams in the book. This book covers current topics which are being used frequently in teaching and research areas, as well as specific statistical techniques including multivariate analysis, binary logistic regression, and non-parametric methods. This valuable first edition provides the necessary tools and conceptual foundations in quantitative reasoning to efficiently extract information from a vast sea of data, and to communicate research findings in order to support hypotheses and give credibility to research methodology and conclusions. With detailed explanations, illustrative examples and diagrams, and beneficial in-text exercises and solutions to support the study of biostatistics, this textbook will prove useful to students, researchers, and scientists who aim to increase their precision around methods and techniques in this field.

    • Artificial Intelligence in Gastrointestinal Cancers

      • 1st Edition
      • April 1, 2026
      • Ganji Purnachandra Nagaraju + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 4 1 2 1 9
      • eBook
        9 7 8 0 4 4 3 4 4 1 2 2 6
      Artificial Intelligence in Gastrointestinal Cancers examines the transformative impact of AI technologies on diagnosing and treating gastrointestinal malignancies. This book explores how advanced algorithms, particularly deep learning models, enhance the analysis of medical imaging, including endoscopic, MRI, and CT scans, facilitating earlier and more accurate identification of cancers such as esophageal, stomach, colorectal, and pancreatic cancers. The content covers AI's multifaceted applications, from improving diagnostic accuracy to personalizing treatment strategies based on genomic and clinical data. It discusses how machine learning predicts patient outcomes and optimizes treatment plans while also addressing AI's role in accelerating drug discovery and clinical trials. For an academic audience, this book provides crucial insights into AI's current and future applications in GI oncology. Readers gain a comprehensive understanding of AI diagnostic tools and personalized treatment strategies, equipping researchers and clinicians with the knowledge to leverage these advancements for improved patient care and outcomes in gastrointestinal cancers.

    • Human-Centred AI For Intelligent Healthcare

      • 1st Edition
      • January 1, 2026
      • Mahmoud Hassaballah + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 9 9 9 8
      • eBook
        9 7 8 0 4 4 3 3 4 0 0 0 0
      Human-Centred AI For Intelligent Healthcare: Approaches and Technologies provides state-of-the-art AI technologies and healthcare tailored to human needs, highlighting the various ways AI is reshaping patient care, diagnostics, treatment modalities, and overall healthcare systems. From the intricacies of precision medicine to interventions in mental health, this reference provides a diverse array of AI applications. It addresses ethical considerations while emphasizing the transformative potential that AI holds for the healthcare industry. This reference is an essential companion for healthcare professionals, researchers, policymakers, technologists, and enthusiasts navigating the swiftly evolving landscape of AI in healthcare. Bridging a critical gap in literature, it offers a consolidated resource that not only explores the multifaceted applications of AI in healthcare but also underscores the importance of maintaining a human-centric approach in the integration of these technologies. With a focus on forecasting future trends and implications, this reference equips readers with the knowledge to stay at the forefront of the dynamic field of healthcare technology and empowers them to anticipate changes and adapt their strategies proactively in the face of evolving healthcare landscapes.

    • Cutting-edge Computational Intelligence in Healthcare with Convolution and Kronecker Convolution-based Approaches

      • 1st Edition
      • January 1, 2026
      • Pawel Plawiak + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 0 8 2 7
      • eBook
        9 7 8 0 4 4 3 3 3 0 8 3 4
      Cutting-edge Computational Intelligence in Healthcare with Convolution and Kronecker Convolution-based Approaches focuses on the use of deep learning techniques in the field of medical imagine analysis. These advances offer promising progress in healthcare through improvements in diagnostic accuracy, efficiency in medical image interpretation, and breakthroughs in treatment planning. Divided into five sections, the book begins with foundational coverage of deep learning in medical imaging and fundamentals of Convolutional Neural Networks. Discover the role convolutions play in extracting meaningful features from images, aiding tasks such as diagnosis and segmentation. The second section takes a deep dive into Kronecker convolutions and their unique advantages, such as enhanced spatial hierarchy understanding, efficient parameter utilization, and improved adaptability to specific characteristics of medical images. Section three reviews specific applications in tumor detection, enhancing organ segmentation as well as disease classification, and section four explores real-world implementation of AI-driven diagnostic imaging, precision medicine via imaging analytics, and wearable devices and continuous health monitoring. The final section offers discussion on the unique challenges, trends, and potential future directions these innovative computational approaches have on medical image processing and advanced healthcare. In summary, this book takes an interdisciplinary approach to bridge the gap between theory and practice, fusing knowledge from the domains of medicine, computer science, and machine learning to address issues in healthcare through sophisticated image analysis techniques.

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