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Elsevier

Academic Press

  • 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 examines the transformative role of AI and data science in improving diagnosis, treatment, and healthcare delivery. It shows how machine learning, deep learning, and advanced signal and image analysis enable breakthroughs in genomics, multi-omics integration, biomedical imaging, EEG-based seizure prediction, and real-time physiological monitoring. The book highlights AI-driven stratification of complex syndromes such as sepsis, stroke, and acute respiratory distress syndrome, demonstrating how data-driven models support early detection, personalized interventions, and actionable clinical decisions.The volume also presents system-level innovations, including AI-based forecasting for dialysis, blood supply management, and telemedicine optimization. It addresses ethical and regulatory challenges, fairness, transparency, data governance, and clinical validation, providing a practical roadmap for healthcare professionals, engineers, researchers, and policymakers. By integrating responsible, human-centered AI into precision medicine, the book illustrates clear pathways to enhance patient care, improve outcomes, and promote equitable healthcare.

  • 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.

  • 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.

  • Structural Studies of Amyloid-Forming Peptides

    • 1st Edition
    • Volume 729
    • English
    Structural Studies of Amyloid-Forming Peptides highlights new advances in the field, with this new volume presenting interesting chapters on important topics such as the Extraction of Amyloids from Neurodegenerative Disease Tissues for Structural Analysis, Cryo-EM Structure Determination of Amyloid Fibrils: Methodology, Insights, and Practical Tools, Methods for studying molecular architecture of Ab aggregates in tissues using cryo-ET, Cryo-EM methods to study binding between amyloid fibrils and chemical compounds or ligan, Dynamics studies of side-chains and hydration shells in amyloid-beta fibrils using deuterium and oxygen-17 solid-state NMR, and much more.Additional chapters cover the Technical aspects of pressure jump NMR applied to the study of Abeta and protein oligomerization, Characterizations of the beta-amyloid-membran... interaction intermediates, Time-resolved solid-state NMR studies of oligomer formation, Methods for characterizing the individual filament structures of amyloid peptide assemblies using atomic force microscopy, Single-molecule fluorescence spectroscopy and imaging on heterogeneous amyloid beta aggregation, Two-dimensional FT-IR methods on amyloid aggregation and folding pathways, and much more.

  • Extracellular Vesicle-Based Biovectors for Diagnostic and Biomedical Applications

    • 1st Edition
    • Arun Kumar + 2 more
    • English
    Extracellular Vesicle-Based Biovectors for Diagnostic and Biomedical Applications provides comprehensive coverage on not only the biosynthesis, isolation, purification, and functionalization of extracellular vesicles for therapeutic and diagnostic applications, but also current trends in functionalized extracellular vesicles for biomedical research and commercial-scale opportunities. Sections focus on the fundamental aspects of extracellular vesicles, covering their origin, classification, biosynthesis, isolation techniques, purification challenges, and functionalization for biomedical applications, while also delving into the therapeutic applications of extracellular vesicles and their role in treating diseases.Content also address biocompatibility, safety, translation challenges, biocompatibility, and translation challenges. Final sections explore the diagnostic potential of extracellular vesicles in biomedical research, highlighting their role as diagnostic biomarkers in various diseases. Emerging technologies and future directions in extracellular vesicle research round out the content, making it a valuable reference for researchers and clinicians seeking an in-depth understanding of extracellular vesicles and their potential biomedical applications.

  • High Entropy Materials

    Fundamentals and Potential Applications
    • 1st Edition
    • An-Chou Yeh + 3 more
    • English
    High Entropy Materials: Fundamentals and Potential Applications covers the fundamental science of high entropy materials (HEMs) and advances in the development of various structural and functional HEMs: topics covered include strength and ductility combination; hydrogen embrittlement resistance; shape memory properties; fatigue properties as well as detailed reviews of high-entropy superalloys; refractory high entropy alloys; ferroelectric high entropy oxides; nanocrystal library for catalytic applications; water splitting for hydrogen production; thermoelectric properties; lithium and sodium batteries; high-entropy polymers; high-entropy coatings for elevated temperatures and wear resistance; and AI-based approaches to explore the high entropy materials composition space. The book is written by international experts in the field including the director and principal investigators of the High Entropy Materials Center in Taiwan: the first research center dedicated to the development of HEMs

  • Artificial Intelligence Applications in Emerging Healthcare Technologies

    • 1st Edition
    • Miguel Antonio Wister Ovando + 2 more
    • English
    Artificial Intelligence Applications in Emerging Healthcare Technologies presents the latest advances and state-of-the-art methods and applications of computer science and emerging AI technologies in health and medicine. The book explores the impact of artificial intelligence (AI) in healthcare for medical decision-making and data analysis, tackling topics such as cloud computing, cybersecurity, the internet of things, natural language processing, virtual health, data science applied to healthcare, personalized medicine, imaging, diagnosis, drug discovery, and diseases, among others.Chapters present adaptations or improvements on previous models and algorithms to process data from different sources. Other chapters investigate new formulations for the optimization of known procedures and algorithms. Finally, all chapters use experimental methods to study problems of interest in healthcare. This is a great resource for researchers and students who want to learn how machine learning algorithms and other data science techniques have been implemented to solve healthcare-related problems.

  • Advances in Blood Flow Quantification Methods for Diagnosis, Monitoring, Prediction, and Personalized Treatment of Cardiovascular Disease

    • 1st Edition
    • Zahra Keshavarz Motamed + 2 more
    • English
    Advances in Blood Flow Quantification Methods for Diagnosis, Monitoring, Prediction, and Personalized Treatment of Cardiovascular Disease explains how abnormal hemodynamics (blood flow dynamics) greatly alter the cardiovascular system’s ability to transport, control and maintain blood flow throughout the body. These deviations often lead to the initiation and progression of disease. Notably, hemodynamic quantification can be extremely useful for accurate and early diagnosis of cardiovascular disease. Particularly, the ability to monitor and predict hemodynamic effects following specific interventions can significantly broaden lifesaving options. However, image-based computational modelling of predictive hemodynamics analysis methods (and therefore new diagnostic tools) are rare. By extending quantitative methods of analysis, medical professionals can foresee effects of various cardiovascular interventions, allowing for optimized, situation-based care.Advances in Blood Flow Quantification Methods for Diagnosis, Monitoring, Prediction, and Personalized Treatment of Cardiovascular Disease posits that novel, image-based computational modelling hemodynamic analysis tools will enable the next generation of diagnosis, predictive, and treatment planning resources for cardiovascular disease. Readers will become well-versed in recent advances in hemodynamic approaches, while preparing themselves for the next wave of revolutions in cardiovascular health.

  • Sustainable Cropping Systems Under a Changing Climate

    • 1st Edition
    • Mukhtar Ahmed
    • English
    Sustainable Cropping Systems Under a Changing Climate explores how climate change is reshaping agriculture and highlights the urgent need for resilient, adaptive, and sustainable farming practices. As extreme weather, rising temperatures, and resource pressures threaten food security, this volume offers practical pathways to transform agricultural systems.Bringing together leading research, real-world case studies, and innovative strategies, this book addresses vulnerabilities and opportunities in modern farming. It covers sustainability principles, climate-smart practices, and the roles of soil health, biodiversity, conservation agriculture, organic farming, agroforestry, regenerative approaches, and plant–microbe interactions in enhancing resilience. Special focus is given to intensive systems such as rice–wheat and rainfed agriculture, particularly in the Global South.With an interdisciplinary approach and emphasis on both scientific evidence and practical application, this volume bridges a critical gap by supporting informed decision-making at farm, institutional, and policy levels. It is a timely resource for researchers, agronomists, extension professionals, and others seeking to future-proof agriculture through nature-based and technological solutions for climate adaptation and mitigation.

  • Active Food Packaging

    Principles, Technologies and Innovations
    • 1st Edition
    • Swarna Jaiswal + 2 more
    • English
    Active Food Packaging: Principles, Technologies and Innovations, a volume in the Sustainable Food Packaging series, is a comprehensive guide to the latest developments in active packaging for food products. This book provides an overview of active packaging and its various types, advantages, and challenges, as well as a detailed analysis of different active packaging technologies such as oxygen scavengers, antimicrobial agents, moisture absorbers, and ethylene absorbers. It also covers the latest innovations and applications of active food packaging, including intelligent active packaging, shelf-life extension, food safety and quality control, sustainability, waste reduction, and nanotechnology.With the growing importance of sustainability and increasing demand for understanding the complex principles and technologies involved in active food packaging, this series of books represents a comprehensive guide to navigating this rapidly evolving landscape.

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