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Books in Life sciences

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  • Using Stimulants to Improve Plant Health

    From Stress to Strength
    • 1st Edition
    • Arafat Abdel Hamed Abdel Latef
    • English
    Using Stimulants to Improve Plant Health: From Stress to Strength covers the pivotal role of stimulants, including biostimulants, chemical agents, and phytohormones in boosting plant resilience and improving productivity under both abiotic and biotic stressors. Providing readers with a clear understanding of the physiological, biochemical, and molecular mechanisms through which biostimulants, chemical stimulants, and phytohormones boost plants' ability to withstand both abiotic and biotic stresses, this book provides insights into the latest advancements in research and technology, such as nanotechnology and precision agriculture. With step-by-step instructions, practical tools, and case studies, it enables readers to integrate stimulant-based strategies into agricultural operations.By prioritizing environmentally sustainable methods and showcasing eco-friendly stimulants, the book guides readers on how to adopt practices that are both financially smart and ecologically responsible. This expertly edited volume is divided into 16 thoroughly researched chapters that will be valuable for those interested in advancing sustainable agriculture and plant health.

  • 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.

  • Harnessing Plant Stimulating Molecules

    Innovations in Stress Biology and Crop Resilience
    • 1st Edition
    • M. Iqbal R. Khan + 1 more
    • English
    Harnessing Plant Stimulating Molecules: Innovations in Stress Biology and Crop Resilience serves as an authoritative reference on the multifaceted molecular regulators and biotechnological innovations underpinning plant resilience to environmental stressors. The book delivers an exhaustive treatment of diverse classes of signaling entities—including phytohormones, secondary messengers, reactive oxygen and nitrogen species, and heterotrimeric G proteins—elucidating their roles in complex stress adaptation pathways. In addition to molecular and biochemical foundations, it explores advanced methodologies such as nanoparticle-facilit... metabolic modulation, RNA interference, gene editing strategies aimed at optimizing nutrient utilization.Other section highlight the emerging significance of biostimulants in modulating plant-microbe interactions and inter-plant signaling networks. Detailed discussions on systemic signaling mediated by mobile molecules and photoreceptor-mediat... photomorphogenic responses further enrich the scope. Users will find this to be a great resource that bridges fundamental plant molecular biology with translational biotechnology.

  • Computer-Aided Drug Design in Modern Drug Discovery

    • 1st Edition
    • Yinuo Wu + 2 more
    • English
    Computer-Aided Drug Design (CADD) is a key technology in pharmacology, significantly influencing the development of numerous marketed drugs. Despite the wealth of theoretical literature on CADD, there remains a critical gap in resources that illustrate its practical applications. Computer-Aided Drug Design in Modern Drug Discovery bridges that gap by offering an in-depth exploration of CADD, featuring real-world case studies and practical examples that empower researchers to harness this technology effectively in drug discovery and development. Exploring the intricacies of CADD, the book comprises several key chapters, beginning with an introduction to its methods and evolution, followed by a thorough examination of the integration of artificial intelligence in drug design. Subsequent chapters cover various CADD approaches, including ligand-based, structure-based, and fragment-based design, alongside AI-driven compound generation and drug screening. The book also showcases a selection of marketed drugs developed with CADD or AI, such as Captopril, Tirofiban, and Crizotinib, providing invaluable insights into the successes and challenges faced in real-world applications. Finally, the discussion of emerging trends and future directions in CADD and AI highlights the ongoing evolution of these methodologies and their integration with traditional drug development processes. By emphasizing accessible language and practical applications, this book serves as an essential resource for pharmacology researchers, practitioners, and students alike, enabling them to navigate the complexities of drug design with confidence. Medicinal chemists will also benefit from this comprehensive guide to enhance your understanding of CADD and inspire innovative approaches to drug discovery and development.

  • Artificial Intelligence in Precision Drug Design, Volume 2

    Advanced Applications
    • 1st Edition
    • Khalid Raza
    • English
    Artificial Intelligence in Precision Drug Design, Volume 2: Advanced Applications explores the transformative role of AI in modern drug discovery and development, presenting cutting-edge research and methodologies that integrate machine learning, network pharmacology, and computational modeling to accelerate therapeutic innovation. It covers a wide range of applications, including AI-driven drug repurposing, combination therapies, cancer immunotherapy, neuroscience, vaccine development, and molecular dynamics, but also delves into emerging technologies such as quantum computing, large language models, and graph neural networks. Designed for academics, this volume provides researchers, clinicians, and graduate students with a resource on the latest AI methodologies in precision medicine.Users will find this to be a great resource that supports evidence-based innovation, fosters interdisciplinary collaboration, and equips them with insights to advance personalized healthcare solutions.

  • 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.

  • Microbiome in Head and Neck Cancer: Pathogenesis, Diagnosis and Therapeutic Implications

    • 1st Edition
    • Volume 169
    • English
    Microbiome in Head and Neck Cancer: Pathogenesis, Diagnosis and Therapeutic Implications, Volume 169 in the Advances in Immunology series, presents an authoritative exploration on how microbial communities contribute to the initiation, progression, and treatment of head and neck cancers. Chapters highlight The Microbiome of the Head and Neck Region, Overview Head and Neck Microbiota and the Factors Influencing the Head and Neck Microbiome, Mechanistic Pathways of Dysbiosis in Cancer Development, Oral Microbiota and OPMDs, Oral Potentially Malignant Disorders (OPMDs): An Overview, Oral Microbiota and Oral Cancer, Oral Squamous Cell Carcinoma (OSCC): An Overview, and much more.Additional chapters cover the Role of the Oral Microbiome in Oral Cancer (OSCC), Microbiome as a Prognostic Indicator in Oral Cancer, Diagnostic and Therapeutic Applications, Microbiome-Based Diagnostic Approaches, Modulating the Head and Neck Microbiome for Cancer Prevention, Microbiome-Targeted Therapeutics in Head and Neck Cancer, Artificial Intelligence in Microbiome Data Analysis: Applications in Head and Neck Cancer, and Challenges and Future Directions in Head & Neck Microbiome Research.

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