Skip to main content
Elsevier
View Cart
My account

Books in Life sciences general

BooksJournals

    • 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

    • 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.

    • Direct-Acting Antivirals against Hepatitis C

      • 1st Edition
      • February 1, 2026
      • Mohamed Mahmoud Zakaria El-Kassas
      • English
      • Paperback
        9 7 8 0 4 4 3 4 1 3 6 3 6
      • eBook
        9 7 8 0 4 4 3 4 1 3 6 4 3
      Direct-Acting Antivirals against Hepatitis C: Current Issues and Future Perspectives is a comprehensive reference that explores Chronic Hepatitis C management. This authoritative reference covers the mechanisms, efficacy, and future potential of Direct-Acting Antivirals (DAAs), offering valuable insights for clinicians, researchers, and students in hepatology and infectious diseases. Structured into three sections, this reference covers a wide range of topics related to DAAs in the management of Hepatitis C. In Section 1, readers will gain a thorough understanding of HCV infection, its clinical significance, and the immune response involved. They will also explore the molecular mechanisms of DAAs and the different classes available. Section 2 focuses on the practical aspects of using DAAs in the treatment of HCV. Readers will discover the clinical efficacy of different DAA regimens, the safety and tolerability considerations, and the additional benefits of DAA treatment beyond virological response. The section also covers current treatment guidelines and individualized approaches for specific patient populations. In Section 3, readers will learn the challenges and future directions in DAA therapy including antiviral resistance in HCV and strategies for managing and overcoming resistance. The book also explores the relationship between DAA therapy and hepatocellular carcinoma, as well as the current limitations and unmet needs in DAA therapy.Direct-Actin... Antivirals against Hepatitis C: Current Issues and Future Perspectives is a comprehensive and indispensable resource for anyone involved in the management of Chronic Hepatitis C. With its in-depth exploration of DAAs, from their molecular mechanisms to their clinical applications and future directions, this book equips clinicians, researchers, and students with the knowledge and insights needed to enhance their practices and contribute to the global fight against HCV infection.

    • Biomaterials in Cancer Therapy

      • 1st Edition
      • February 1, 2026
      • Alok Raghav
      • English
      • Paperback
        9 7 8 0 4 4 3 4 5 0 7 0 9
      • eBook
        9 7 8 0 4 4 3 4 5 0 7 1 6
      Biomaterials in Cancer Therapy: Innovations and Applications explores the critical role of functional biomaterials in addressing one of today’s most pressing health challenges—cancer. Despite advancements in therapies, cancer continues to claim millions of lives annually, necessitating innovative approaches that integrate engineering and pharmaceutical sciences. This book highlights the potential of engineered biomaterials to enhance drug delivery, minimize side effects, and promote tissue regeneration, ultimately improving patient outcomes. The content examines cutting-edge innovations in functional biomaterials, including their applications in targeted drug delivery and immunotherapy, while emphasizing the role of nanotechnology in developing effective cancer theranostics with minimal toxicity. Targeted at academicians, physicians, and industry professionals, this book serves as a vital resource for understanding the transformative potential of functional biomaterials in oncology. By addressing real-world challenges and incorporating diverse perspectives, it inspires innovative solutions that enhance global healthcare outcomes for cancer patients.

    • Artificial Intelligence in Patient Counselling

      • 1st Edition
      • April 1, 2026
      • Bhupendra G. Prajapati + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 3 8 2 3 3
      • eBook
        9 7 8 0 4 4 3 4 3 8 2 2 6
      Artificial Intelligence in Patient Counselling aims to explore the transformative role of artificial intelligence in enhancing patient counseling and education. This book delves into how cutting-edge AI technology is reshaping the healthcare landscape, improving patient experiences, and driving better health outcomes. It provides a comprehensive overview of the ways AI can address the challenges of personalized and effective patient care. The book covers a wide range of topics, including the creation of personalized treatment plans through AI's analysis of patient data, the emergence of AI-powered virtual health assistants for 24/7 support, and the use of predictive analytics to identify disease progression early. It also explores AI-enhanced medical imaging, empathetic AI chatbots, ethical considerations, and real-world case studies that illustrate the tangible benefits of AI in patient counseling and education. This book benefits healthcare professionals, policymakers, technologists, and anyone interested in the future of healthcare. By offering insights from leading experts, it empowers readers to navigate the evolving healthcare landscape with confidence and compassion. The book provides essential knowledge and tools for improving patient outcomes and modernizing patient care through AI-driven solutions, making it a valuable resource for understanding the impact of AI on patient care and education.

    • Explainable AI in Clinical Practice

      • 1st Edition
      • April 1, 2026
      • Arvind Panwar + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 4 1 1 1 0
      • eBook
        9 7 8 0 4 4 3 4 4 1 1 2 7
      Explainable AI in Clinical Practice: Methods, Applications, and Implementation bridges the gap between artificial intelligence capabilities and their practical implementation in healthcare. As AI systems become prevalent in clinical decision-making, transparency and explainability are crucial. This volume unites leading experts to provide a comprehensive framework for implementing explainable AI, ensuring that AI-driven decisions are transparent, trustworthy, and clinically sound. The book explores applications of explainable AI in diagnostic support and treatment planning, offering insights into making AI systems interpretable and accountable. Through real-world case studies and ethical frameworks, readers learn to transform opaque AI systems into tools that enhance clinical practice while maintaining high patient care standards. Targeted solutions cater to diverse stakeholders in the healthcare AI ecosystem. Healthcare professionals gain confidence in integrating AI tools, while technical teams receive implementation guidelines. This book is essential for anyone seeking to navigate the complexities of AI in healthcare responsibly and effectively.

Related subjects

Geriatrics and gerontology

Professional resources