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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

    • Fundamentals of Molecular Structural Biology

      • 2nd Edition
      • Subrata Pal
      • English
      Fundamentals of Molecular Structural Biology, Second Edition reviews the mathematical and physical foundations of molecular structural biology, covering the latest advancements. The book begins with historical perspectives before exploring mathematical concepts, physical aspects of chemistry, the chemical basis of biology, structural analysis, visualization, protein folding, transcription, RNA processing, cell signaling, and computational molecular biology. Additionally, this new edition delves into AI fundamentals and applications, including AlphaFold and RoseTTAFold. This fully updated edition provides a detailed overview of the fundamental concepts across molecular structural biology and acts as an ideal guide for researchers and advanced students.Given the increasingly interdisciplinary nature of this subject, this book provides early career researchers and those shifting into an adjacent field a "fundamentals" resource to get them up-to-speed on the foundations of a particular field.

    • Microplastics and the Hidden Threat to Human Reproduction

      Plastic Peril
      • 1st Edition
      • Nimra Afzal + 1 more
      • English
      Microplastics and the Hidden Threat to Human Reproduction: Plastic Peril explores the intricate relationship between microplastics and reproductive health, delving into the sources and distribution of microplastics in the environment, human exposure routes, associated risks, the toxicological effects on reproductive health, potential connections to fertility, endocrine disruption, and developmental consequences due to maternal exposure. It includes impacts on both male and female reproductive health, risks during pregnancy, population-level health concerns, strategies for mitigating microplastic exposure, and the policy and regulatory frameworks surrounding this issue. The book also provides insights into the future direction of research and public health initiatives.In essence, it explores how tiny microplastic particles can have significant and far-reaching consequences on human reproductive health, making this a vital and emerging area of concern. This is a comprehensive resource for anyone interested in understanding the various aspects of the microplastics-reprod... health connection and a go-to reference for researchers, healthcare professionals, policymakers, and concerned individuals.

    • Immunomodulators

      • 1st Edition
      • Volume 151
      • English
      Immodulators, Volume 151 explores the pivotal role immodulators play in regulating immune responses for health and disease management. The book provides an in-depth overview of various classes of immunomodulatory agents, including biologics, small molecules, natural compounds, and synthetic drugs, examining their mechanisms of action and therapeutic applications. Chapters in this new release include Marine-Derived Polysaccharides and Peptides as Next-Generation Immunomodulators: Molecular Mechanisms, Therapeutic Potential, and Translational Challenges, Advances in Immunomodulation: From Dietary Influence to Computational Precision, iPSC-derived immunotherapy for Tau and Alzheimer's disease, and much more.Additional sections cover Antibodies targeting amyloid-β and Tau oligomers in Alzheimer's Disease, Biosimilars: Antibody and Nanobody Based Therapeutic Approaches Towards Protein Misfolding Diseases, Immunomodulator drugs: mechanisms of action and systemic effects, Microbiome and microbial products as immunomodulators: implication for gastrointestinal cancers, Integration of Network pharmacology, docking, and dynamics analysis to investigate the immunomodulatory activity of Pongamia pinnata, Transcriptomic Insights into Epigenetic and Immunomodulatory Roles of Nuclear Histone Genes in Bladder Cancer: A bioinformatics Approach, Utilizing DREIMT Database for Drug Prioritization in Immunomodulatory Therapy for Psoriasis and Psoriatic Arthritis, and many additional topics.

    • Hybrid Fluoroscopy and Ultrasound Guided Interventional Pain Procedures

      • 1st Edition
      • Manuel Herrero Trujillano + 4 more
      • English
      Hybrid Fluoroscopy and Ultrasound Guided Interventional Pain Procedures ameliorates the dearth of literature covering interventional pain procedures under both X-ray and ultrasound guidance. While existing resources focus on either modality separately, this book fills the gap by providing a consolidated approach, leveraging the strengths of both techniques. By doing so, it ensures practitioners have access to the most versatile and effective imaging methods available. This book is inherently practical, designed to serve as a go-to guide for clinicians facing real-world challenges in pain management. Its organization by body areas facilitates quick access to relevant techniques, while step-by-step guidance and visual aids ensure clarity and ease of understanding. By focusing on clinical relevance, the book empowers practitioners to implement evidence-based imaging interventions with confidence and precision. Hybrid Fluoroscopy and Ultrasound Guided Interventional Pain Procedures has the potential to make a meaningful impact on the field of pain management. By equipping practitioners with cutting-edge imaging techniques and insights, it promises to improve patient outcomes and advance the standard of care. Moreover, its global reach ensures that its benefits extend far beyond geographical boundaries, reaching pain medicine practitioners worldwide.

    • AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice

      • 1st Edition
      • Olfa Boubaker + 1 more
      • English
      AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice explores the transformative role of AI and data science in enhancing precision medicine, predictive analytics, and medical practice. The book covers diverse topics such as AI-driven personalized medicine, seizure prediction through EEG analysis, and the application of chaos theory in AI-driven healthcare. The volume also delves into medical practice and education, including ethical considerations, AI-driven supply chain management, and clinical documentation using natural language processing.Furthermo... it examines AI's role in telemedicine, patient engagement, and adherence, offering innovative solutions to improve healthcare delivery and outcomes.

    • Cell Death Part B

      • 1st Edition
      • Volume 206
      • English
      Cell Death Part B continues the comprehensive exploration of cellular mechanisms governing the fate of cells in health and disease. This volume delves deeper into the molecular pathways, regulatory networks, and biological consequences of various cell death modalities, including apoptosis, necrosis, autophagy, ferroptosis, pyroptosis, and other emerging forms.

    • Revolutionizing Microbial Technology

      Unlocking the Potential of Artificial Intelligence
      • 1st Edition
      • Akanksha Srivastava + 1 more
      • English
      Revolutionizing Microbial Technology: Unlocking the Potential of Artificial Intelligence explores the potential integration of artificial intelligence (AI) and machine learning in the fields of microbiology and biotechnology. The book delves into various applications of AI in microbiology across different sectors. This includes coverage of basic microbiology, identification and characterization of microbes, how AI can be implemented in microbiology laboratory practices, and how bioinformatics can help analyze microbial data and help understand complex biological systems. It discusses implementation of AI in healthcare for the diagnosis of microbial diseases and AI-driven microbial therapies and examines potential AI solutions for the acceleration, cost-effectiveness, and efficiency of the drug discovery and drug development process. Additional coverage includes the AI integration in the food and agricultural industries. Revolutionizing Microbial Technology provides a comprehensive understanding to researchers, academics, industry professionals and students of the potential of AI as an advance tool for microbial research and application.

    • Role of Biomarkers in Cancer Diagnosis and Therapeutics

      • 1st Edition
      • Sushama Talegaonkar + 2 more
      • English
      Role of Biomarkers in Cancer Diagnosis and Therapeutics offers a thorough exploration of the critical roles biomarkers play in cancer detection, diagnosis, monitoring, and therapy. Sections focus on established and emerging biomarkers like PSA and CEA, detailing their biochemical characteristics and clinical relevance, and examining metabolic pathways utilized by cancer cells, highlighting key enzymes and their therapeutic potential. The final part pf the book discusses innovative strategies targeting cell cycle checkpoints and DNA repair mechanisms, including synthetic lethality through PARP inhibitors. This essential resource provides researchers and clinicians with insights into novel metabolic targets and cutting-edge treatment strategies.By addressing current applications and future challenges, including the integration of AI and multi-omics approaches, the book equips readers with actionable knowledge to advance personalized cancer care and navigate the dynamic landscape of oncology.

    • The Exposome in Cancer Disparities

      Influence of Environmental and Infectious Factors in LMICs
      • 1st Edition
      • Zodwa Dlamini
      • English
      The Exposome in Cancer Disparities: Influence of Environmental and Infectious Factors in LMICs examines how environmental and infectious factors drive cancer inequities in low- and middle-income countries (LMICs). The book introduces the exposome as a comprehensive framework to understand complex risk factors, such as environmental toxins, climate change, and infectious agents like HPV and HIV. The book combines scientific insights, real-world case studies, and practical strategies from international experts, highlighting region-specific contributors to cancer disparities. Structured into thematic sections, it offers a holistic view of the challenges faced by LMICs and provides actionable, evidence-based solutions tailored to resource-limited settings.The work emphasizes the importance of multidisciplinary approaches and international collaboration to develop effective prevention and policy strategies. It will benefit researchers, policymakers, and healthcare professionals by deepening understanding of cancer risk factors, fostering global cooperation and guiding targeted interventions to reduce health inequities and improve outcomes worldwide.

    • Deep Learning for Cardiac Signal Analysis in Robotic Applications

      • 1st Edition
      • Kapil Gupta + 1 more
      • English
      Deep Learning for Cardiac Signal Analysis in Robotic Applications delves into the transformative role of artificial intelligence in enhancing robotic-assisted cardiovascular procedures. Addressing the complexities of heart signal interpretation amidst the dynamic environment of cardiac surgery, this book meets the critical need for a comprehensive resource that bridges deep learning advances with practical surgical applications. It responds to the challenge of understanding intricate bio-signals, such as ECG, VCG, and BCG, by providing clear explanations, case studies, and methodological insights tailored to improve surgical precision, safety, and patient outcomes. The book is organized into three parts, starting with the fundamentals of cardiac signals and deep learning. It introduces key heart modalities, including the physiological underpinnings and challenges of signals like ECG and BCG, followed by an overview of deep learning architectures relevant to signal processing. Pre-processing and feature extraction techniques are detailed to prepare readers for advanced analysis. Part II focuses on AI-enhanced cardiac signal analysis, covering arrhythmia detection, myocardial ischemia diagnostics, hypertension monitoring via BCG, and explainable AI approaches for fetal arrhythmia monitoring. The final section integrates AI with robotic cardiac surgery, addressing real-time signal integration, AI-guided intervention precision, intraoperative decision support, postoperative monitoring, and future trends in cardiac AI and robotic-assisted surgery.This book is an invaluable resource for engineering students and academicians seeking to deepen their understanding of AI applications in healthcare. It equips readers with practical knowledge to tackle challenges in cardiac signal processing and robotic application, fostering interdisciplinary expertise that spans biomedical engineering, computer science, and clinical practice. This book not only advances academic research but also supports innovation in developing intelligent surgical systems and improving patient care.

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