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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

    • Preclinical Landscape in Cancer Research

      • 1st Edition
      • March 29, 2025
      • Ranjita Shegokar + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 1 6 5 6 2
      • eBook
        9 7 8 0 4 4 3 3 1 6 5 7 9
      Preclinical Cancer Landscape discusses the issues in preclinical-to-clini... translatability of molecularly targeted cancer therapies and the need to better align tumour biology in patients With a strong focus on the status, challenges, prospects and the need of robustness of preclinical cancer research, the book acknowledges that the bar for reproducibility in performing and presenting preclinical studies must be raised to facilitate a transparent discovery process that frequently and consistently leads to significant patient benefit. In 22 chapters this book describes the current status of preclinical research in multiple cancers. This book is a timely and valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the allied field. " Preclinical landscape in cancer research " is written by experts in the field and informed with facts directly from manufacturers. Pharmaceutical scientists, medical researchers, biomedical engineers and clinical professionals will find this an essential reference.

    • Explainable AI in Healthcare Imaging for Medical Diagnoses

      • 1st Edition
      • March 29, 2025
      • Tanzila Saba + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 3 9 7 9 3
      • eBook
        9 7 8 0 4 4 3 2 3 9 7 8 6
      In an era where Artificial Intelligence (AI) is revolutionizing healthcare, Explainable AI in Healthcare Imaging for Precision Medicine addresses the critical need for transparency, trust, and accountability in AI-driven medical technologies. As AI becomes an integral part of clinical decision-making, especially in imaging and precision medicine, the question of how AI reaches its conclusions grows increasingly significant. This book explores how Explainable AI (XAI) is transforming healthcare by making AI systems more interpretable, reliable, and transparent, empowering clinicians and enhancing patient outcomes.Through a comprehensive examination of the latest research, real-world case studies, and expert insights, this book delves into the application of XAI in medical imaging, disease diagnosis, treatment planning, and personalized care. It discusses the technical methodologies behind XAI, the challenges and opportunities of its integration into healthcare, and the ethical and regulatory considerations that will shape the future of AI-assisted medical decisions.Key areas of focus include the role of XAI in improving diagnostic accuracy in fields such as radiology, pathology, and genomics and its potential to enhance collaboration between AI systems, healthcare professionals, and patients. The book also highlights practical applications of XAI in personalized medicine, showing how explainable models help tailor treatments to individual patients, and discusses how XAI can contribute to reducing bias and improving fairness in medical decision-making.Writ... by leading experts in AI, healthcare, and precision medicine, Explain[S3G1] able AI in Healthcare Imaging for Precision Medicine is an essential resource for researchers, clinicians, students, and policymakers. Whether you are looking to stay at the forefront of AI innovations in healthcare or seeking to understand how explainability can build trust in AI systems, this book provides the insights and knowledge needed to navigate the evolving landscape of AI in medicine. It invites readers to explore how XAI can revolutionize healthcare and precision medicine, shaping a future where AI is both powerful and trustworthy.

    • Multifunctional Nanostructured Coatings

      • 1st Edition
      • March 29, 2025
      • Manviri Rani + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 3 6 8 3 9
      • eBook
        9 7 8 0 4 4 3 2 3 6 8 4 6
      Multifunctional Nanostructured Coatings: Biomedical, Environmental, and Energy Applications offers core and advanced information about various nanomaterials and their synthetic approaches to nanostructured coatings. The book focuses on the application of multifunctional nanostructured coatings (MNCs) in the areas of biomedicine, the environment, and energy, and presents the latest advances in the design, preparation, characterization, and fabrication of MNCs. Techniques covered in the book include chemical deposition (including plasma-assisted deposition) and physical deposition methods such as magnetron sputtering, arc evaporation, electron-beam evaporation, and ion-beam sputtering.In addition, the book also explores the use of multifunctional ZnO/TiO2 nanoarray composite coatings, Ta- and Si-doped multifunctional bioactive nanostructured films, in situ-generated titanium-oxo clusters, and silver nanoparticles. It will be useful for researchers working in the areas of materials science, coating technologies, nanotechnology, sustainability, and environmental engineering.

    • Advancing Healthcare through Decision Intelligence

      • 1st Edition
      • March 28, 2025
      • Somen Dey + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 4 8 0 1
      • eBook
        9 7 8 0 4 4 3 2 6 4 8 1 8
      Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics demonstrates real-world applications of decision intelligence - specifically machine learning, robotics, and analytics - to drive innovation and improvements in healthcare delivery and outcomes. The book provides a comprehensive overview of the latest developments in decision intelligence technologies, and offers a practical resource that can help navigate through the complex landscape of healthcare decision-making. In 5 themes Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics focuses on the use of data analytics aad management techniques in healthcare to improve decision-making and healthcare outcomes, on the use of robotics, robots and genomics to improve biomedical informatics, on the use of genomics, clinical decision support systems (CDSS), machine learning, and deep learning to improve precision medicine and personalized treatment and on the ethical implications of using artificial intelligence (AI) in healthcare, ensuring trust in the technology, and making sure that it can be explained and understood by all stakeholders. This book is a valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the allied field.

    • Python for Quantum Chemistry

      • 1st Edition
      • Volume 23
      • March 28, 2025
      • Qiming Sun
      • English
      • Paperback
        9 7 8 0 4 4 3 2 3 8 3 7 6
      • eBook
        9 7 8 0 4 4 3 2 3 8 3 6 9
      Quantum chemistry requires ever higher computational performance, with more and more sophisticated and dedicated Python scripts being required to solve challenging problems. Although resources for basic use of Python are widely (and often freely) available online and in literature, truly cohesive materials for advanced Python programming skills are lacking.Qiming Sun, a developer of the popular Python package PySCF, provides a comprehensive, end-to-end practical resource for researchers and engineers who have basic Python programming experiences chiefly in computational chemistry but want to take their use of the software forwards to the next level, the book provides an insightful exploration of Numpy, Pandas, and other data analysis tools. Readers will learn how to manage their Python computational projects in a professional way, with various tools and protocols for computational chemistry research and general scientific computing tasks exhibited and analysed from a technical perspective. Multiple programming paradigms including object-oriented, functional, meta-programming, dynamic, concurrent, and vector-oriented are illustrated in various technology scenarios allowing readers to properly use them to enhance their program projects. Readers will also learn how to use the presented optimization technologies to speed up their Python applications, even to the level as fast as a native C++ implementation. The applications of these technologies are then demonstrated using quantum chemistry Python applications.Python for Quantum Chemistry: A Full Stack Programming Guide is written primarily for graduate students, researchers and software engineers working primarily in the fields of theoretical chemistry, computational chemistry, condensed matter physics, material modelling, molecular simulations, and quantum computing.

    • CRISPR-Cas Systems for RNA and Genome Editing

      • 1st Edition
      • Volume 712
      • March 25, 2025
      • English
      • Hardback
        9 7 8 0 4 4 3 3 1 7 5 2 1
      • eBook
        9 7 8 0 4 4 3 3 1 7 5 3 8
      CRISPR-Cas Systems for RNA and Genome Editing, Volume 711 in this ongoing series, highlights new advances in the field, with this new volume presenting interesting chapters on topics such as Massively parallel genomic perturbations with multi-target CRISPR interrogates Cas9 activity and DNA repair at endogenous sites, Genome oligopaint via local denaturation fluorescence in situ hybridization, Biochemical reconstitution of a type I-B CRISPR-associated transposon, Visualizing the conformational landscape of CRISPR-Cas9 through kinetics-informed structural studies, and much more.Additional sections cover Analysis of metal-dependent DNA nicking activities by Cas endonucleases, Biochemically characterizing the accessory proteins and ribonucleoprotein complexes of Type IV CRISPR systems, Prime editing in bacteria with BacPE, Preparation of high-purity CRISPR-based DNA base editor RNPs, Bacterial directed evolution of CRISPR base editors, Cloning and validating systems for high throughput molecular recording, Using CRISPR-Cas13 for viral nucleic acid detection, and more.

    • Encyclopedia of Bioinformatics and Computational Biology

      • 2nd Edition
      • March 25, 2025
      • Shoba Ranganathan + 2 more
      • English
      • Hardback
        9 7 8 0 3 2 3 9 5 5 0 2 7
      • eBook
        9 7 8 0 3 2 3 9 5 5 0 3 4
      Bioinformatics and Computational Biology (BCB) combine elements of computer science, information technology, mathematics, statistics, and biotechnology, providing the methodology and in silico solutions to mine biological data and processes, for knowledge discovery.In the era of molecular diagnostics, targeted drug design, translational medicine and Big Data for personalized medicine, computational methods for data analysis are essential tools for biochemistry, biology, biotechnology, pharmacology, biomedical and computer science, as well as mathematics and statistics. New areas are emerging, and relatively isolated fields are becoming current hot research areas in BCB, such as Artificial Intelligence, Quantitative Biology, Computational Vaccinology, Epidemiology and Infection Diffusion, Synthetic Biology, and Phenomics. The role of BCB in characterizing SARS-CoV-2 variants and facing the COVID-19 pandemic is just one example of how these tools can help us better prepare for such future events.This Encyclopedia comprises three sections, covering Methods, Topics, and Applications. The methodologies and algorithms underpinning BCB are described in the Methods section; Topics covers traditional areas such as phylogeny, as well as more recent areas such as translational bioinformatics, cheminformatics and environmental informatics; Applications provides guidance for commonly asked “how to” questions.Navigating the maze of confusing jargon and the plethora of software tools is often confronting for students and researchers alike. This comprehensive and unique resource provides up-to-date theory and application content to address molecular data analysis requirements, with precise definitions of terminology and lucid explanations by field experts.

    • Protein and Peptide Therapeutics

      • 1st Edition
      • Volume 212
      • March 25, 2025
      • English
      • Hardback
        9 7 8 0 4 4 3 2 3 5 3 0 6
      • eBook
        9 7 8 0 4 4 3 2 3 5 3 1 3
      Progress in Molecular Biology and Translational Science series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

    • Viral Hepatitis in Asia and the Pacific

      • 1st Edition
      • March 25, 2025
      • Jing Sun + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 3 6 2 9 7
      • eBook
        9 7 8 0 4 4 3 2 3 6 3 0 3
      Viral Hepatitis in Asia and the Pacific: Towards Elimination as a Public Health Threat documents the narratives, innovations, and scope of work in the Asia-Pacific region in starting, consolidating, and moving towards the elimination of viral hepatitis. The Asia-Pacific region is disproportionately affected by viral hepatitis, accounting for two-thirds of the global burden. Countries from low-, middle- and high-income economies have adopted different strategies to address combating and eliminating viral hepatitis. The successful experiences of the Asia-Pacific region are valuable for other regions, especially the middle- and low-income countries moving towards the achievement of the 2030 goal of elimination.Strategi... discussed include integrated approaches, negotiating universal access to diagnostics, and treatment options, including vaccines. Content further covers the critical barriers to achieve the 2030 targets for elimination of viral hepatitis and how to overcome them. This is the perfect reference for all hepatology researchers and elimination policy advocates who are dedicated to joining the fight for the 2030 goal of the elimination of viral hepatitis as a public health threat.

    • Clinical Landscape in Cancer Research

      • 1st Edition
      • March 24, 2025
      • Ranjita Shegokar + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 2 1 9 0
      • eBook
        9 7 8 0 4 4 3 3 0 2 2 0 6
      Cancer, a multifaceted disease, remains the leading cause of death worldwide. Ongoing research and technological advancements are continually improving the human understanding of newer treatment options. This book series aims to provide wide-ranging insights into the current landscape of cancer research, highlighting the recent advancements, current challenges, and future directions. Cancer varies widely in its formation, microenvironment, location in the body, associated risk factors, detection methodology, and treatment approaches. Early detection and prevention through lifestyle changes, regular screenings, and the awareness of symptoms are crucial for improving outcomes and survival rates. In this book series, the main focus is on trending topics, like new drug delivery, diagnostics, biomarkers, and preclinical and clinical developments in cancer research. Nanotechnology has emerged as a transformative approach in medicine, particularly in the areas of targeted drug delivery systems, imaging, and diagnostics to enhance the therapeutic efficacy and minimize adverse effects in cancer therapy. Advances in pharma, medical device, and diagnostic research, including the development of Trojan-horse therapies and precision treatments/assay kits, continue to enhance the effectiveness of cancer care over the past few decades. A total of five books are covered in this series: Drug Delivery Landscape in Cancer Research (Vol. 1)Biomarker Landscape in Cancer Research (Vol. 2)Diagnostic Landscape in Cancer Research (Vol. 3)Preclinical Landscape in Cancer Research (Vol. 4)Clinical Landscape in Cancer Research (Vol. 5) By integrating basic, applied, and innovative science concepts, this book series fosters a deeper understanding of the disease and paves the way for the development of more effective strategies. This book series serves as a valuable resource for students, researchers, regulators, and clinicians interested in understanding the complexities of cancer and the innovative approaches researched to combat this deadly disease. Nonetheless, continuous interdisciplinary, cross-country collaborations and cross-science innovation strategies are essential to further reduce the global cancer burden.

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