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Elsevier

Academic Press

  • Leveraging AI and ML in Cardiovascular Diagnosis and Management

    • 1st Edition
    • Rosaline Mishra + 3 more
    • English
    Leveraging AI and ML in Cardiovascular Diagnosis and Management examines how artificial intelligence and machine learning transform cardiovascular care. It gathers chapters from leading researchers to bridge clinical practice with cutting-edge analytics, imaging, and decision support. The volume details core topics across the field, including fundamentals of AI/ML, AI-driven cardiovascular imaging, predictive analytics for risk stratification, heart failure management, arrhythmia detection, wearable-enabled monitoring, and the integration of multi-omics with clinical data. It also addresses neurocardiology, clinical decision support systems, ethics, and regulatory considerations, all framed for cardiovascular scientists and clinicians. For academics, clinicians, and educators, the book offers actionable workflows, a cohesive framework for translating AI and ML advances into improved diagnosis, treatment personalization, and patient outcomes across diverse populations.

  • Robotics and Artificial Intelligence in Neuromuscular Performance

    Assessment, Training, Injury Prevention, and Return to Play in Athletes
    • 1st Edition
    • Wissem Dhahbi + 1 more
    • English
    Athletic performance depends on technologies that can measure, model, and guide neuromuscular function across the complete athlete lifecycle. Robotics and Artificial Intelligence in Neuromuscular Performance provides an evidence-based framework for applying robotics, artificial intelligence, computer vision, wearable sensing, virtual reality, and biofeedback to assessment, training, injury prevention, rehabilitation, and return-to-play decision-making. Organized across 18 chapters, the book connects neuromuscular physiology with intelligent athlete systems, progressing from foundational concepts in computational biomechanics and robotic dynamometry to applied protocols for training load management, injury risk prediction, exoskeletal resistance training, smart rehabilitation, and AI-enhanced return-to-play clearance. Written for sports scientists, clinicians, physiotherapists, athletic trainers, strength and conditioning professionals, biomechanics researchers, and technology developers, it equips readers to evaluate rapidly expanding sports technologies with scientific rigor rather than assuming that innovation is inherently beneficial. Each chapter addresses validation status, measurement error, algorithmic limitations, data governance, and ethical risk, translating research evidence into criteria practitioners can apply directly. The AICICA framework, six implementation checklists, and integrated case studies extend the book beyond synthesis into practical guidance for responsible technology adoption in elite, clinical, and research settings.

  • Progress in Optics

    • 1st Edition
    • Volume 72
    • English
    Optics series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

  • Artificial Intelligence in Agricultural Systems

    Fundamentals and Advances
    • 1st Edition
    • Mohammad Mehdizadeh
    • English
    Artificial Intelligence in Agricultural Systems: Fundamentals and Advances focuses on advancements in AI in and draws upon the multi-faceted challenges of modern agriculture. This book curates the latest strands of AI applications that are reshaping agricultural systems, including current trends and emerging technologies. It offers an overview of the evolving agricultural landscape and foregrounds the critical role of AI in driving innovation and enhancing productivity in this essential sector. Organized into four parts, it introduces agricultural systems and AI fundamentals, including machine learning, deep learning, natural language processing, and robotics. It then pivots to data collection and processing techniques, explicating the use of sensors, IoT devices, remote sensing, and UAVs. Core applications in crop and livestock management receive emphasis, covering yield prediction, pest detection, precision irrigation, and sustainable farming practices. The final sections address the limitations of AI in agriculture, future trends, and policy recommendations, providing an overarching understanding of AI's responsible adoption. Artificial Intelligence in Agricultural Systems is an important resource for upper-level undergraduate and graduate students studying the impact of AI technologies on agriculture and food production. Researchers, practitioners, and policymakers studying the intersections of agriculture, environmental science, data science, and engineering will find this book compelling as well.

  • Theranostics for Cancer Targeting

    • 1st Edition
    • Ranjita Shegokar + 1 more
    • English
    This groundbreaking Theranostic book delivers the definitive roadmap for the next generation of precision oncology by systematically detailing the clinical, regulatory, and drug delivery landscapes of theranostics—the revolutionary integration of therapy and diagnostics—across 20-22 major cancer types. Designed for medical publishers, clinicians, and biotech researchers, this chapter is a structural framework for each malignancy, bridging laboratory breakthroughs in nanotechnology, green nanochemistry, drug delivery, diagnostics, and AI with real-world clinical applications. It serves as an essential commercial and academic asset, offering unprecedented depth on FDA/EMA regulatory hurdles, technology transfer pathways, and actionable data tables that track active clinical trials and global research groups. By addressing key market trends and regulatory challenges, it serves as an essential, multidisciplinary resource for driving personalized oncology and improving patient outcomes

  • Hereditary Syndromes Associated with Endocrine Tumors

    • 1st Edition
    • Volume 134
    • English
    Volume 134, Hereditary Syndromes Associated with Endocrine Tumors, provides a comprehensive and up-to-date overview of the genetic, molecular, clinical, diagnostic, and therapeutic aspects of inherited endocrine neoplasia syndromes. Over the past two decades, remarkable advances in genomics, molecular diagnostics, and precision medicine have transformed the understanding and management of hereditary endocrine tumor syndromes, enabling earlier diagnosis, individualized surveillance strategies, targeted therapies, and improved patient outcomes. This volume brings together contributions from internationally recognized experts to review the current state of knowledge on both well-established and emerging hereditary syndromes affecting the endocrine system. The chapters cover the genetic basis, genotype–phenotype correlations, clinical manifestations, screening recommendations, multidisciplinary management, and future therapeutic perspectives for syndromes predisposing to tumors of the adrenal glands, pituitary, thyroid, parathyroid, pancreas, and neuroendocrine tissues. Special emphasis is placed on recent discoveries in cancer predisposition genes, advances in molecular pathology, the integration of next-generation sequencing into clinical practice, and the implications of hereditary cancer syndromes for patients and their families.

  • Advanced Ultrasound with Imaging Correlations of Diffuse Liver Diseases

    • 1st Edition
    • Riccardo De Robertis
    • English
    Advanced Ultrasound with Imaging Correlations of Diffuse Liver Diseases addresses the critical need for detailed comparisons between advanced ultrasound (US) techniques and CT/MRI findings in the evaluation of liver diseases. While many books exist, few provide the in-depth analysis and practical guidelines necessary for accurate diagnosis and effective treatment planning. This book fills that gap, offering a multiparametric approach to the assessment of fibrotic and steatotic liver diseases. Inside, readers will find essential topics such as indications for liver US in diffuse liver diseases, advanced Ultrasound techniques for assessing liver fibrosis and steatosis, and the correlation between US, CT, and MRI findings.Key chapters cover the basics of liver ultrasound, conventional Doppler and microvascular flow imaging, ultrasound elastography, and the quantification of liver steatosis. Additionally, the book explores cutting-edge topics like artificial intelligence in liver ultrasound and the application of US in pediatric patients. Contributions from leading experts in the field ensure that each chapter provides valuable insights and practical advice. This is an indispensable resource for scientists, researchers, and clinicians alike. It offers clear guidelines on performing liver ultrasounds, understanding and interpreting results, and making informed comparisons with CT and MRI findings.

  • Theory of Probability and Statistics

    Solved Problems and Exercises
    • 1st Edition
    • Humbat Aliyev + 2 more
    • English
    Theory of Probability and Statistics: Solved Problems and Exercises is a comprehensive and practice-oriented textbook designed for undergraduate and graduate students seeking a clear, rigorous, and intuitive understanding of probability and statistical inference. Unlike many existing titles that either lean too heavily on theory or focus mostly on computations, this book bridges the gap by integrating conceptual foundations with problem-solving techniques and real-world applications. Each chapter progresses from essential theory to fully-worked examples, followed by a rich set of exercises that reinforce learning and promote mastery.Theory of Probability and Statistics: Solved Problems and Exercises offers significant benefits to its readers: streamlined explanations of fundamental concepts, step-by-step derivations, visual interpretations where helpful, and numerous solved problems that demonstrate how abstract principles translate into practical statistical tools. Topics span classical probability, random variables, distributions, limit theorems, estimation, hypothesis testing, regression, non-parametric methods, and modern extensions relevant to data science. This book provides a fresh, accessible approach that maintains mathematical rigor while remaining student-friendly, making it ideal for university courses, self-study, and exam preparation. By blending theory with extensive solved exercises, it fills a growing demand for a unified, application-driven text tailored to contemporary learners.

  • Starch-Based Edible Films and Coatings in Food Applications

    Innovations, Challenges, and Limitations
    • 1st Edition
    • Seid Reza Falsafi + 2 more
    • English
    Starch-Based Edible Films and Coatings in Food Applications: Innovations, Challenges, and Limitations addresses the urgent need for sustainable packaging solutions in the food industry. This book targets the information needs and daily challenges faced by college and postgraduate students, university scholars, researchers, food scientists, and industry professionals working with starch-based edible films and coatings. It provides a comprehensive overview of the latest innovations, current limitations, and ongoing challenges, supporting both academic research and practical industrial applications. The book is structured into four main sections. Section I covers the production of starch-based edible films, detailing native and modified starches, preparation mechanisms, and factors influencing film properties, as well as active, intelligent, and reinforced films. Section II presents recent applications in preserving fresh produce, animal products, and processed foods. Section III reviews current and advanced analytical techniques for characterizing these films. Section IV examines cutting-edge innovations, including nanotechnology and 3D printing, and discusses existing limitations and future challenges.Starch-Ba... Edible Films and Coatings in Food Applications: Innovations, Challenges, and Limitations is a valuable resource for graduate students, researchers, and food technologists. It offers essential knowledge on manufacturing, properties, safety, and market trends, facilitating the development of innovative and sustainable food packaging solutions.

  • Diet as Complementary Treatment to Cancer Prevention and Therapy

    • 1st Edition
    • Michael N.A. Eskin + 2 more
    • English
    Diet as Complementary Treatment to Cancer Prevention and Therapy explores the role of nutrition in the prevention and treatment of cancer. The book features in-depth chapters on various cancers including liver, cervical, thyroid, esophageal, pancreatic, and oral while detailing specific dietary strategies that may mitigate risk and support therapeutic efficacy. Additionally, it addresses the significant influence of the human microbiome on cancer dynamics and highlights the promising field of metabolomics as it pertains to future cancer research. Contributions from leading experts across the fields of food science, nutrition, pharmacology, and cancer research provide current and practical applications.This comprehensive resource equips healthcare professionals with the knowledge necessary to incorporate dietary considerations into cancer prevention and treatment protocols effectively.

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