Skip to main content
View Cart

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

    • 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.

    • Artificial Intelligence for Enhanced Diagnosis in Oncology

      • 1st Edition
      • Gowhar Rashid + 3 more
      • English
      “Artificial Intelligence for Enhanced Diagnosis in Oncology” explores the transformative role of AI in cancer care, examining its applications across various domains. The book introduces key AI technologies, such as machine learning and natural language processing, and discusses the challenges and opportunities they present in oncology. Each chapter focuses on specific areas where AI has significant impact, including early cancer screening, diagnosis, pathology, surgical oncology, and imaging. Readers will learn how AI improves precision in treatment, optimizes clinical trial designs, and accelerates drug discovery while addressing critical issues like predicting adverse drug reactions and assessing cancer risks. Emphasizing personalized oncology, the book also highlights innovative approaches to patient education and engagement. Concluding with insights on emerging trends and ethical considerations, this resource is essential for researchers, clinicians, and healthcare professionals committed to advancing cancer care through AI technologies.

    • Applying Artificial Intelligence to Computational Biology and Medical Informatics

      • 1st Edition
      • Mohammad Sufian Badar
      • English
      Applying Artificial Intelligence to Computational Biology and Medical Informatics explores the transformative role of AI and machine learning in modern biomedical research and healthcare. The book covers foundational concepts in AI/ML, computational biology, and medical informatics, followed by in-depth chapters on medical imaging, network biology, chemoinformatics, and public health. Other sections address ethical and societal implications, interpretable AI, and real-world case studies, making complex topics accessible through clear language and structured content. Designed for early-career researchers, students, and professionals without prior expertise in computer science or health sciences, this book provides a progressive learning path from basic to intermediate levels.Readers benefit from practical examples, online resources, and a coherent chapter structure that supports both academic study and applied research.

    • Tumor Microenviroment

      • 1st Edition
      • Ranjita Shegokar + 1 more
      • English
      Tumor Microenvironment provides an in-depth exploration of the intricate relationships between various cancers and their respective tumor microenvironments. Each chapter focuses on a specific type of cancer, detailing the unique characteristics of its microenvironment, including the roles of immune cells, stromal components, and extracellular matrix. The book highlights advancements in research, diagnostic techniques, and therapeutic strategies aimed at targeting the tumor microenvironment, offering valuable insights into potential future directions in cancer treatment. By presenting cutting-edge information and real-world applications, this book helps readers understand cancer biology while also fostering innovative approaches to research and clinical practice that contribute to improved patient outcomes.

    • 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.

    • AI and Data Science in Medical Research

      • 1st Edition
      • Olfa Boubaker
      • English
      AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies.The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

    • Innovative Nanotechnology: Transforming Skin Cancer Diagnosis and Treatment

      • 1st Edition
      • Volume 169
      • English
      Innovative Nanotechnology: Transforming Skin Cancer Diagnosis and Treatment, Volume 169 in the Advances in Cancer Research series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this new release include an Introduction to Nanotechnology in Dermatology, Basics of Skin Cancer: Types, Diagnosis, and Current Challenges, Current Challenges in Skin Cancer Diagnosis and Treatment, Nanocarriers for Drug Delivery in Skin Cancer, Nanotechnology in Skin Cancer Diagnosis, Therapeutic Nanoparticles and Targeted Therapy, and much more.Additional chapters cover Nanotechnology in Photodynamic and Photothermal Therapy for Skin Cancer, Challenges in Translating Nanotechnology from Research to Clinical Practice, Nanotechnology and Immunotherapy Synergies in Skin Cancer, Patient-Centric Approaches and Personalized Nanomedicine in Skin Cancer, The Role of Theranostics and Nanotheranostics in Skin Cancer Management, Preclinical and Clinical Trials in Nanotech Skin Cancer Treatment, Safety, Ethical, and Regulatory Considerations in Nanotechnology for Skin Cancer, and many more interesting chapters on topics of current interest.

Related subjects

Biochemistry biophysics

Biotechnology

Endocrinology

Life sciences general

Molecular biology cellular biology and genetics

Physiology