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Academic Press

    • 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.

    • 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.

    • Analytical Chemistry for Environmental Solutions

      Elements of Change
      • 1st Edition
      • Rohit Bhatia + 1 more
      • English
      Analytical Chemistry for Environmental Solutions: Elements of Change provides in-depth coverage of cutting-edge analytical techniques, emerging trends like AI-powered data analysis, real-time monitoring, and the global impact of environmental issues, aligning with sustainability goals such as clean water, climate action, and sustainable cities. The book includes practical case studies, real-world data analysis, and a comprehensive instructor's manual, making it suitable for both academic and professional audiences. Its focus on global perspectives and cultural sensitivity ensures it resonates across diverse regions, while interactive learning tools and digital resources enhance the educational experience.This edition, along with a sturdy collection of interactive ancillary resources for both students and instructors, delivers accessible, engaging, and comprehensive resources for readers, enhancing both the understanding and practical applications of analytical chemistry in environmental science. Designed to equip students with problem-solving, critical thinking, and data analysis skills, this textbook is an ideal resource for the next generation of environmental scientists, policymakers, and sustainability experts.

    • 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.

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