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Elsevier

Books in Biomedical engineering

  • Lightweight Secure and Intelligent Approaches for Medical Devices

    Trends and Future Frontiers
    • 1st Edition
    • R. Praveen + 1 more
    • English
    Lightweight Secure and Intelligent Approaches for Medical Devices: Trends and Future Frontiers addresses the rapidly evolving intersection of artificial intelligence, Internet of Medical Things (IoMT), and edge computing within healthcare. This reference meets the critical demand for resource-efficient, secure, and trustworthy AI models tailored specifically for embedded medical devices operating under stringent constraints. By integrating advances in lightweight AI, medical device security, and intelligent data processing, the book fills a vital gap in current literature, offering researchers, engineers, and healthcare professionals a comprehensive resource to develop next-generation medical technologies. The book is organized into four parts, beginning with foundational concepts including the evolution of AI in healthcare devices, lightweight model design, and medical device security standards. It progresses to predictive intelligence and reliability, covering AI techniques for disease monitoring, device calibration, and personalized medicine. The security and privacy section explores network architectures, privacy-preserving AI, lightweight cryptography, and defenses against adversarial attacks. The final part presents emerging trends such as edge AI, digital twins, explainable AI, augmented and virtual reality applications, and quantum-safe security protocols. Each chapter combines theoretical insights with practical case studies and research perspectives to guide real-world deployment. Lightweight Secure and Intelligent Approaches for Medical Devices: Trends and Future Frontiers serves as an essential reference for researchers, medical device developers, cybersecurity professionals, and graduate students aiming to innovate secure and intelligent healthcare solutions in resource-constrained environments.

  • Wearable Biosensors for Healthcare

    Techniques and Applications
    • 1st Edition
    • Vigneswaran Narayanamurthy + 2 more
    • English
    Wearable Biosensors for Healthcare: Techniques and Applications is a comprehensive exploration of the transformative role of wearable biosensors in modern healthcare. The book explains the integration of artificial intelligence in health monitoring, showcasing how AI enhances data analysis and personalized health insights. Through practical case studies, sections illustrate real-world implementations across various healthcare domains, including chronic disease management, fitness tracking, and mental health monitoring. Additionally, it emphasizes the importance of interdisciplinary design principles, highlighting the need for collaboration among engineering, medicine, and data science to develop effective wearable solutions. Addressing technical challenges and proposing future research directions, this book serves as a vital resource for anyone interested in the intersection of technology and healthcare, ultimately aiming to inspire further innovation in the field of wearable biosensing.

  • Biomechanics of the Heart

    From Model to Patient
    • 1st Edition
    • Patrick Clarysse + 3 more
    • English
    Biomechanics of the Heart: From Model to Patient provides readers with a comprehensive overview of the modeling and assessment of the heart’s biomechanics. The book addresses topics such as the physiology of normal and diseased hearts, cardiovascular imaging, modeling of myocardial tissue in the passive and active states, as well as state-of-the-art approaches for patient specific modeling of the heart’s mechanical function. This is all augmented by case studies and examples of exploitation of models for computer-aided diagnosis, treatment, and monitoring of heart diseases. Readers are introduced to modeling of the heart’s anatomical and muscular structure, a review of imaging techniques to analyze the geometry, content and dynamics of the heart, as well as an in-depth look at the biomechanical properties of normal and diseased hearts. Finally, chapters cover modeling cardiac passive and contractile mechanics, biomechanical finite element simulations of the heart, patient-specific modeling of the heart and circulatory system, as well as the exploitation of models for computer-aided diagnosis, treatment, and monitoring of heart diseases.

  • Intelligent Gait Assistive Technologies

    Gait Biomechanics and Machine Learning Applications in Rehabilitation and Injury Prevention
    • 1st Edition
    • Rezaul Begg + 1 more
    • English
    Intelligent Gait Assistive Technologies: Gait Biomechanics and Machine Learning Applications in Rehabilitation and Injury Prevention brings together contemporary research and applications to show how gait biomechanics combined with machine learning can be used to develop techniques to provide safer, more mechanically efficient locomotion to individuals with significant visual, musculoskeletal, or neurological deficits. Developments in gait rehabilitation and injury prevention outlined in this book will contribute to improved quality of life for individuals with gait-related impairments, with a major contribution to medical cost savings due to reduction in falls.Researchers, engineers, and students in biomedical engineering and biomechanics will find this a welcomed reference in better understanding the role of machine learning and intelligent technologies in the advancement of gait rehabilitation and injury reduction to both impaired and healthy individuals.

  • Self-Learning AI in Healthcare

    Agentic Systems for Smarter Medicine
    • 1st Edition
    • Rajesh Kumar Dhanaraj + 4 more
    • English
    Self-Learning AI in Healthcare: Agentic Systems for Smarter Medicine covers the transformative potential of advanced artificial intelligence within modern medicine. The book addresses the critical need for self-learning and agentic AI systems that autonomously adapt, refine decision-making, and navigate complex clinical environments with minimal intervention. Chapters provide foundational insights into the rise of self-learning AI and neural networks tailored for adaptive medical systems. Subsequent chapters delve into unsupervised, semi-supervised, and reinforcement learning for autonomous healthcare decision-making, alongside decentralized edge AI approaches. Specialized sections cover personalized medicine, hospital workflow optimization, remote patient monitoring, early disease detection, federated learning for privacy preservation, and more.Further, this book explores AI applications in drug discovery, mental health support, radiology, digital twins, and medical robotics, culminating with an examination of future challenges, ethics, and regulatory frameworks shaping self-learning AI’s trajectory in healthcare. It is tailored to serve a diverse yet specialized audience spanning academic, professional, and research sectors. Healthcare IT professionals and clinical informatics specialists will gain practical guidance for implementing adaptive AI solutions within complex healthcare environments. AI researchers and data scientists focused on developing self-learning models will find cutting-edge methodologies and case studies that advance medical applications.

  • Integrating AI in Psychological and Mental Health Care

    Techniques, Applications, and Ethical Considerations
    • 1st Edition
    • Sandeep Kautish + 4 more
    • English
    Integrating AI in Psychological and Mental Health Care: Techniques, Applications, and Ethical Considerations introduces key concepts and the historical evolution of AI, providing a foundation for understanding its applications in mental health. The content delves into various aspects of AI, including diagnostic tools, machine learning algorithms, and natural language processing, highlighting their roles in enhancing therapeutic outcomes and improving patient care. The discussion encompasses significant mental health conditions such as anxiety, depression, and severe psychological disorders, showcasing how AI technologies can assist in diagnosis, treatment planning, and monitoring. Ethical considerations and privacy issues are critically examined, ensuring a balanced perspective on the benefits and challenges associated with AI-driven interventions. Practical applications, such as virtual psychotherapists and AI-enhanced cognitive behavioral therapy illustrate real-world implementations and their impact on patient care. Additionally, case studies provide insights into successful AI applications in mental health settings, thus enhancing our understanding of potential advantages and obstacles.

  • Introduction to Tactile Intelligence

    • 1st Edition
    • Shan Luo
    • English
    Introduction to Tactile Intelligence emphasizes the growing importance of tactile intelligence, essential for robots to interact effectively with the physical world. This book explores the science of tactile intelligence, equipping robots and intelligent machines with the ability to touch and feel the world, recognize textures, develop fine motor skills, and even convey emotions through physical contact. It anticipates a future where robots seamlessly integrate with the physical world through tactile intelligence and offers solutions for its development and application in various domains. This book is a good resource for students in robotics to experienced professionals, providing a solid foundation in tactile sensing, tactile-based control, and learning, as well as the integration of tactile data into broader robotic systems. This book provides valuable insights and practical guidance, and it serves as a reference for researchers at all stages of their careers in the dynamic field of tactile development and applications.

  • Innovation in Emergency Medicine

    Technology Development and Commercialization Handbook
    • 1st Edition
    • Nancy Patterson + 3 more
    • English
    Innovation in Emergency Medicine: Technology Development and Commercialization Handbook is a step-by-step guide to emergency medicine technology innovation reflecting recent trends of industry globalization and value-conscious healthcare. Written by a team of medical, engineering, and business experts, the authors provide a comprehensive resource that leads engineers, clinicians, students, researchers, and entrepreneurs through a clear process for the identification, invention, and implementation of new solutions. Case studies on innovative products from around the world, successes and failures, practical advice, and end-of-chapter 'Getting Started' sections encourage readers to learn from real projects and apply important lessons to their own work. This new volume in the Clinical and Medical Innovation Series will be of interest to every biomedical engineer and those working in emergency medicine who has ever had a good idea for an invention but does not know where and how to start bringing it to the bedside.

  • Introduction to Bioinformatics and Machine Learning

    • 1st Edition
    • Milana Frenkel-Morgenstern
    • English
    Introduction to Bioinformatics and Machine Learning provides comprehensive instruction in modern computational biology by integrating bioinformatics, genomics, artificial intelligence, and machine learning into a unified learning framework. The book bridges the gap between biological data analysis and computational methods, covering fundamental concepts in molecular biology and bioinformatics together with practical applications of machine learning to genomics, transcriptomics, proteomics, microbiome research, structural biology, NGS technologies, liquid biopsy, cancer genomics, and precision medicine. Readers are introduced to DNA and RNA sequencing technologies, genome assembly, sequence alignment, variant discovery, gene expression analysis, fusion gene detection, protein structure prediction, biological databases, statistical analysis, explainable artificial intelligence, and predictive modeling. Throughout the book, real-world biomedical case studies demonstrate how computational methods are transforming modern biological and clinical research; and both bioinformatics and machine learning are addressed in a coherent and accessible manner, emphasizing practical problem-solving, reproducible computational workflows, and biological interpretation of results.Designed for upper-level undergraduate students, graduate students, and researchers, this book serves as both a classroom textbook and practical assignments for those working at the interface of biology, computer science, medicine, and data science.

  • Federated Intelligence in Medicine

    AI-Driven Robotics for Secure and Intelligent Healthcare Systems
    • 1st Edition
    • Manisha Guduri + 3 more
    • English
    Federated Intelligence in Medicine: AI-Driven Robotics for Secure and Intelligent Healthcare Systems explores the rapidly evolving field where medical robotics intersects with cutting-edge artificial intelligence and secure data-sharing technologies. Covering a comprehensive range of topics, the book begins with foundational knowledge in medical robotics and Generative AI, progressing to advanced concepts such as federated learning and architectural modeling tailored for AI-driven robotic systems. Readers will explore algorithms enhancing surgical robotics, remote robotic surgeries, and human-robot interaction. The text also tackles AI-driven diagnostic robots, privacy preservation through homomorphic encryption, and differential privacy and emerging medical imaging techniques integrated with robotics.Later chapters examine the synergy of large language models, agent AI, and edge AI with robotic technologies, providing both theoretical frameworks and practical case studies that illuminate real-world applications and challenges. This book is an invaluable resource for researchers and academicians engaged in artificial intelligence, robotics, and medical technology. It also serves undergraduate and graduate students in Biomedical Engineering, Electronics and Electrical Engineering, and Computer Science and Engineering.

  • Digital Twins and Predictive Modeling in Robotic Surgery

    • 1st Edition
    • Mudassir Khan + 3 more
    • English
    Digital Twins and Predictive Modeling in Robotic Surgery addresses the transformative convergence of digital twin technology, predictive analytics, and robotic surgery. This reference responds to the critical need for a comprehensive resource that bridges simulation science, artificial intelligence, and real-time robotic execution, facilitating enhanced surgical precision, patient-specific planning, and intraoperative decision-making. The content is organized into four parts covering foundational intelligent surgical systems, predictive modeling and simulation, clinical applications with case studies, and challenges alongside future directions. Topics include AI integration, IoT-enabled sensor networks, digital twin architectures encompassing the entire surgical ecosystem, surgical workflow modeling, risk assessment, human-robot interaction, technology acceptance, ethical and regulatory considerations. Real-world examples from smart hospitals worldwide illustrate practical implementation. This books benefits biomedical engineers, researchers, and healthcare system architects by providing interdisciplinary insights, practical implementation frameworks, and cutting-edge case studies. It supports improved surgical planning, precision, and decision-making, empowering end users to advance the adoption of intelligent, AI-powered robotic surgery systems in clinical practice and research environments.

  • Mathematical Foundations of Physiology, Medicine, and Health Sciences

    • 1st Edition
    • Dhanjoo N. Ghista + 3 more
    • English
    Mathematics and Biomedical Engineering in Medicine, Physiology and Health Sciences is a visionary book, whose purpose is to demonstrate how fundamental mathematics and biomedical engineering can be incorporated into physiology, medicine, and health sciences teaching, research,and clinical practice to make these disciplines more quantitative and computational, and hence more explanatory and informative. The book also provides more quantitative formulation of medical procedures, towards supporting the growing field of precision medicine.

  • Digital Medical Twins for Personalized Healthcare

    Generative AI and Multi-Modal Approaches for Predictive Diagnostics and Precision Medicine
    • 1st Edition
    • Yogesh Kumar + 3 more
    • English
    Digital Medical Twins for Personalized Healthcare: Generative AI and Multi-Modal Approaches for Predictive Diagnostics and Precision Medicine presents a rigorous, evidence-based framework for building patient-specific digital replicas that support clinical decision-making and research innovation. The field integrates electronic health records, imaging, genomics, and continuous wearable data into dynamic models that simulate disease trajectories and treatment responses. Readers confront a evolving landscape of AI methods, privacy requirements, and regulatory expectations; this book offers a coherent, practical reference designed for scientists, and health-system professionals seeking to translate digital twins from concept to care delivery.

  • Robotic Drug Delivery with AI

    A Biomedical Engineering Approach
    • 1st Edition
    • Prabhnoor Bachhal + 3 more
    • English
    Robotic Drug Delivery with AI: A Biomedical Engineering Approach explores the cutting-edge integration of artificial intelligence and robotics in personalized drug delivery. Addressing the urgent need for precision medicine, this reference presents innovative approaches to tailor therapies to individual patients, enhancing treatment efficacy and reducing adverse effects. It fills a critical gap by linking engineering advances with clinical practice, offering researchers and practitioners a comprehensive resource. The book is organized into six parts covering foundational concepts of AI and robotics in healthcare, core technologies behind AI-driven drug delivery systems, clinical applications in chronic diseases and special populations, ethical and regulatory frameworks, and detailed case studies on cancer, diabetes, and nanomedicine. Each chapter includes learning objectives, definitions, case studies, and future directions to facilitate understanding and application. This volume benefits biomedical engineers, healthcare technologists, pharmaceutical researchers, and clinicians by providing a thorough exploration of AI-robotics integration in drug delivery. It equips readers to develop efficient, patient-specific treatment systems, navigate regulatory landscapes, and implement ethical AI solutions, advancing personalized healthcare worldwide.

  • Blockchain-Enabled Innovations in Location-Based Services for Healthcare

    • 1st Edition
    • Ajay Kumar Gupta + 3 more
    • English
    Blockchain-Enabled Innovations in Location-Based Services for Healthcare addresses the growing need for secure, intelligent healthcare solutions integrating location-based services (LBS), Internet of Things (IoT), and blockchain technologies. This reference explores how these technologies transform healthcare delivery improving autonomy and real-time care while safeguarding sensitive data. It responds to the challenges posed by the proliferation of wearable sensors and smart medical devices by proposing decentralized, privacy-preserving frameworks.The book’s comprehensive chapters cover blockchain trust models, adaptive privacy for patient trajectories, wearable computing, deep learning for medical imaging, secure communication in healthcare IoT, and AI-powered diagnostics. Contributions from global experts provide case-driven analyses and technical depth, addressing current challenges in healthcare data security, interoperability, and predictive modeling. The interdisciplinary approach integrates computer science, data privacy, and healthcare informatics, making it a valuable resource for researchers and professionals.Blockc... Innovations in Location-Based Services for Healthcare benefits academic researchers, industry practitioners, graduate students, and policymakers by offering cutting-edge knowledge in secure, decentralized healthcare systems. It equips readers with advanced methodologies and practical solutions to design inclusive healthcare technologies, fostering innovation in smart health monitoring, medical image analysis, and data-driven diagnostics within privacy-compliant frameworks.

  • Technology-Assisted Physical Gait Rehabilitation

    How Robotics, Data Science, and Neuroscience are Changing Modern Physical Therapy
    • 1st Edition
    • Tomislav Baček + 3 more
    • English
    Technology-Assisted Physical Gait Rehabilitation: How Robotics, Data Science, and Neuroscience are Changing Modern Physical Therapy explores computational modeling techniques, robotic assistance, data science, and other technological tools and how they can be jointly used in driving and guiding physical gait therapy in impairments such as stroke, traumatic brain injury, and incomplete spinal cord injury. This book gathers experts in robotics, human biomechanics, physical therapy, neuroscience, engineering, and medicine, presenting their ongoing work and discussing their views on the future direction of technology-assisted gait therapy. It showcases the latest advancements in the interdisciplinary and multidisciplinary field of technology-assisted gait therapy and strives to outline the developments in the coming years that are needed/likely to make the next big breakthrough in the field.

  • Organic Semiconducting Systems for Applications in Biomedical Engineering

    • 1st Edition
    • Neha Rani Kumar + 1 more
    • English
    Organic Semiconducting Systems for Applications in Biomedical Engineering explores the properties and applications of organic semiconductors, which are conjugated systems made from small organic molecules or polymers that exhibit semiconductor characteristics. These materials offer flexibility, lightweight construction, low cost, and large-area production capabilities. Their tunable electronic and optical properties, along with biocompatibility, such as biosensors, smart drug delivery systems, medical diagnostics, and implantable devices.The book targets professionals and students in the fields of organic electronics, biomedical engineering, biomaterials, and environmental science. It provides a comprehensive understanding of organic conjugated systems and their principles, aiding readers in designing innovative solutions for challenges in medical sectors. Additionally, it delves into the latest research findings and practical applications of organic semiconductors, helping readers stay informed and identify new research opportunities. This book clarifies complex concepts, making it suitable for beginners. It also offers a forward-looking perspective on the potential of organic semiconductors to revolutionize biotechnology, inspiring readers to pursue research and innovation for sustainable development.Overall, this book serves as an essential resource for understanding organic semiconductors in biotechnology, biomedical engineering, and bioelectronic applications.

  • Model Validation and Uncertainty Quantification in Biomechanics

    Sources and Methods of Uncertainty and Variability Analysis - Volume 2
    • 1st Edition
    • Gerhard A. Holzapfel + 2 more
    • English
    Model Validation and Uncertainty Quantification in Biomechanics: Sources and Methods of Uncertainty and Variability Analysis addresses the increasing need to incorporate uncertainty and variability into computational biomechanics. As biomechanical modeling becomes more central to clinical decision-making, deterministic approaches are no longer sufficient to describe biological complexity. This reference provides a systematic treatment of uncertainty quantification, enabling more reliable, patient-specific models in cardiovascular and soft tissue applications. The volume is structured into four main sections. It begins with probabilistic fundamentals and sensitivity analysis, establishing core principles for uncertainty-aware modeling. It then explores sources of uncertainty, including vascular modeling, imaging reconstruction, MRI, ultrasound elastography, and biological variability such as sex differences. The third section focuses on computational methods such as multi-fidelity modeling and Bayesian parameter identification. The final section presents practical applications in vascular systems, cardiac mechanics, and diagnostic techniques, emphasizing clinically relevant case studies.Model Validation and Uncertainty Quantification in Biomechanics: Sources and Methods of Uncertainty and Variability Analysis provides researchers and engineers with rigorous tools to assess model reliability and variability. By combining foundational theory with applied methodologies, it supports the development of robust, predictive biomechanical simulations, advancing translational research and precision medicine in healthcare engineering.

  • Lightweight, Real-time Deep Learning Models for Healthcare Applications

    • 1st Edition
    • Tina Babu + 2 more
    • English
    Lightweight, Real-time Deep Learning Models for Healthcare Applications addresses the pressing need for deploying efficient artificial intelligence models in clinical environments constrained by limited computational resources. As AI adoption accelerates in healthcare, this reference targets the gap between advanced deep learning research and practical real-time applications, emphasizing model optimization, privacy, and regulatory compliance. The content comprehensively covers model compression techniques such as pruning, quantization, knowledge distillation, and neural architecture search, alongside federated learning frameworks and real-time inference optimization. Detailed chapters present hardware-aware strategies, security considerations, continuous learning, and regulatory validation. The book also provides extensive case studies and implementation blueprints demonstrating practical deployment on devices like Raspberry Pi, NVIDIA Jetson, and mobile health platforms. This book benefits researchers, clinicians, and healthcare technology professionals by offering practical solutions to develop, validate, and implement AI models that maintain diagnostic accuracy while meeting clinical constraints. It equips students and educators with theoretical foundations and hands-on examples to foster innovation in biomedical AI, ultimately enhancing diagnostic capabilities and patient care in diverse healthcare settings.

  • Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

    • 1st Edition
    • Hanif Heidari + 1 more
    • English
    Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders discusses the latest developed methods in IoT and its applications in neurological disorders that emphasize end-user requirements. Intelligent IoT is used to explore the intersection between medicine, data science, biomedical engineering, and healthcare systems. A comprehensive overview of modelling and analyzing the requirements of people with neurological disorders is presented in this book. Signals and images of biological activity are collected and analyzed based on patient specifications to facilitate more accurate diagnosis and treatment. The book also discusses cutting-edge AI methods for IoT devices designed to treat neurological conditions.

  • AI-Driven Diagnostics for 6G-Enabled Smart Healthcare

    • 1st Edition
    • Sangeeta Kumari + 3 more
    • English
    AI-Driven Diagnostics for 6G-Enabled Smart Healthcare explores the transformative integration of artificial intelligence (AI) and next-generation 6G networks in the healthcare sector. The book begins by highlighting the evolution of healthcare technology and the critical role of AI-driven diagnostics, emphasizing how 6G facilitates real-time, ultra-reliable communication. Key features of 6G, such as ultra-low latency and massive connectivity are discussed, showcasing their impact on advanced healthcare applications like remote diagnostics and patient monitoring. In addition, the integration of AI in medical diagnostics is examined, focusing on machine learning and deep learning techniques that enhance disease detection through medical imaging and clinical data analysis.Users will also find content that explores the benefits of remote patient monitoring, particularly for underserved populations, and delves into edge AI for localized, low-latency diagnostic processing. Other sections cover real-time imaging diagnostics are highlighted and address predictive analytics, detailing AI models that forecast diseases and the role of IoT devices and wearables in healthcare diagnostics. Final sections cover ethical considerations and regulatory challenges.

  • Introduction to Clinical Engineering

    • 2nd Edition
    • Samantha Jacques
    • English
    The Second Edition of Introduction to Clinical Engineering provides a comprehensive and systematically updated examination of the role of clinical engineering within modern healthcare systems. The text articulates how engineering principles are integrated into patient-centered care delivery, addressing a persistent gap created by the lack of formalized clinical engineering degree programs. It presents a practitioner-focused framework that supports safe and effective medical device use, workflow optimization, and compliance with regulatory requirements. This revised edition expands its scope to reflect the evolving healthcare technology landscape, introducing artificial intelligence at a conceptual level while offering deeper analysis of cybersecurity and healthcare information technology. Particular emphasis is placed on interoperability, hospital technology ecosystems, and the growing interdependencies among clinical systems. Updates to US regulatory policies and emerging cybersecurity risks are fully integrated throughout the text. Designed for healthcare practitioners and educators, Introduction to Clinical Engineering, Second Edition, delivers a coherent, analytically grounded approach to healthcare technology management. It supports evidence-based decision-making, technology lifecycle optimization, and regulatory compliance, while fostering workforce competency development and enabling the translation of theory into efficient, cost effective, and patient-centered clinical outcomes.

  • Modern Bioinformatics

    From Molecular Insights to Biomedical Innovation
    • 1st Edition
    • Kolla Bhanu Prakash + 2 more
    • English
    Modern Bioinformatics: From Molecular Insights to Biomedical Innovation explores the rapidly advancing field of bioinformatics, addressing a critical gap in current literature by integrating quantum biology and quantum biosensors with computational bioinformatics. The book offers a thorough exploration of bioinformatics from foundational concepts to translational applications. It begins with molecular structures of proteins, DNA, and RNA, advancing through nano-molecular visualization and structural domain analysis. Readers gain insights into deep learning techniques like AlphaFold for protein structure prediction, AI applications in genomics, and molecular interactions critical to function. The text further covers computational methods in drug discovery, forensic bioinformatics, and molecular evolution.A unique emphasis is placed on the convergence of nanotechnology and quantum innovations in molecular diagnostics and biosensing, including quantum biosensors and quantum computing applications. The final sections focus on computational strategies for drug target identification, biomarker discovery, and clinical trial analysis, providing a holistic view of modern bioinformatics workflows. This book is an indispensable reference for advanced researchers, graduate students, and professionals in bioinformatics, molecular biology, and biomedical engineering seeking to integrate quantum computing and nanotechnology into their work.

  • Innovations and Human Factors Challenges in Healthcare Product Design

    • 1st Edition
    • Kamalpreet Sandhu + 3 more
    • English
    Innovations and Human Factors Challenges in Healthcare Product Design covers best practices and advanced design methods to capture, document, and validate various challenges at the early stage of the design process, also delving into how to mitigate design strategies to address those challenges without compromising the cost, effort, safety, and quality of the device. The book provides a comprehensive collection of technical notes, research designs, design methods and processes, case studies, comprehensive literature on the industrial impact of design methods and processes, and applications of digital technologies for design, analysis, manufacturing, testing, and deployment. Readers will find multidisciplinary coverage of the application of technology and science for product design in healthcare sectors.

  • Model Validation and Uncertainty Quantification in Biomechanics

    From Soft Biological Tissue to Blood Flow
    • 1st Edition
    • Gerhard A. Holzapfel + 2 more
    • English
    Model Validation and Uncertainty Quantification in Biomechanics: From Soft Biological Tissue to Blood Flow provides a comprehensive overview of the latest technology in biomechanical modeling and analysis. Part I presents the foundational principles of modeling primary biomechanical systems, including the intricate workings of the cardiovascular system. This section also provides invaluable insights into essential topics such as sensitivity analysis, uncertainty quantification, machine learning, and surrogate modeling. In Part 2, the book transitions into an in-depth examination of the current state-of-the-art in model validation techniques across a diverse array of biomechanical disciplines, including the latest advancements and best practices. Part 3 introduces current and innovative approaches for quantifying uncertainties inherent in biomechanical modeling. Chapters range from established methodologies to emerging techniques, providing a comprehensive overview of the various strategies employed in addressing uncertainty in biomechanical studies. Finally, in Part 4, the book concludes with a focus on cutting-edge methods, specifically spotlighting the utilization of machine learning and surrogate modeling for both model validation and uncertainty quantification. Through real-world applications and case studies, this book provides an in-depth understanding of how these advanced techniques are reshaping the landscape of biomechanics research.

  • Artificial Intelligence in Brain Disorders

    Innovations in Diagnosis and Treatment
    • 1st Edition
    • Pranav Kumar Prabhakar + 3 more
    • English
    Artificial Intelligence in Brain Disorders: Innovations in Diagnosis and Treatment focuses on the utilization of AI and machine learning to enhance current practices in the diagnosis and treatment of neurological disorders. Each chapter provides in-depth exploration of specific areas where AI can improve existing methodologies, offering practical guidance, case studies, and research findings that can be directly applied in the field. It explains the application of AI in diagnosing and treating major neurological illnesses and showcases the potential of AI in predicting diseases such as epilepsy and neurodegenerative disorders.As such, this book offers a detailed overview of AI and machine learning techniques relevant to neurological research.

  • Wearable Smart Sensing Devices for Sustainable Healthcare

    Techniques, Fabrication, Data Collection and Analysis
    • 1st Edition
    • Arpana Parihar + 2 more
    • English
    Wearable Smart Sensing Devices for Sustainable Healthcare: Techniques, Fabrication, Data Collection and Analysis presents a complete overview of the techniques for developing integrated wearable sensors, the systems that power them, and the fabrication issues involved in making them. The book bridges the gap between theory and practice, offering scientific knowledge and practical insights. Written by renowned researchers and industry experts, this book provides valuable understanding and insights into the design, data processing, analysis, and fabrication of wearable sensors that is ideal for academic engineering and scientific researchers, industry engineers, and scientists interested in developing wearable sensor devices.

  • Generative Artificial Intelligence for Neuroimaging

    Methods and Applications
    • 1st Edition
    • Deepika Koundal + 1 more
    • English
    Generative Artificial Intelligence in Neuroimaging: Methods and Applications offers a clear and practical guide for biomedical engineers and data scientists interested in using generative AI to improve neuroimaging techniques. The book explains key generative models, such as GANs, VAEs, and diffusion models, and shows how these methods can enhance data analysis, improve image quality, and support personalized medicine. It includes real-world examples that demonstrate the successful use of AI in diagnosing diseases and developing brain-computer interfaces. The book also discusses important ethical considerations and best practices for using AI responsibly in healthcare.Finally, the book addresses technical challenges and highlights future research opportunities in the field of AI and biomedical engineering. Whether you are an experienced professional or a new researcher, this book provides the knowledge and tools needed to advance neuroimaging and contribute to better patient care.

  • Laser Polarization and Autofluorescence Imaging for Biomedical and Clinical Applications

    • 1st Edition
    • Alexander Ushenko
    • English
    Laser Polarization and Autofluorescence Imaging for Biomedical and Clinical Applications addresses the cutting-edge research area of laser and autofluorescence polarimetric visualization combined with sophisticated multi-algorithm digital analysis. The book’s content spans ten detailed sections, covering fundamental theories of Mueller-matrix polarimetry, azimuth-invariant mapping methods, advanced Fourier and wavelet transformations, singular analysis, laser-induced autofluorescence polarimetry, and biomedical system architectures. It culminates with clinical application examples demonstrating early diagnostics of malignancies, type 2 diabetes, albuminuria, cholelithiasis, septic conditions, and forensic determinations such as cause and time of death.This reference offers significant benefits to researchers, biomedical engineers, and medical data analysts by delivering a pioneering synthesis of the latest theoretical concepts and multifunctional digital imaging methods. It equips the audience with objective, highly sensitive digital markers essential for accurate, rapid preclinical diagnostics, thereby advancing precision medicine and evidence-based clinical practice in biomedical optics.

  • Advanced MR Techniques for Neurodegenerative Diseases

    • 1st Edition
    • Volume 14
    • Kannie Wy Chan + 3 more
    • English
    Advanced MR Techniques for Neurodegenerative Diseases covers state of the art developments in physiologic, metabolic, functional, and microstructural MRI of the brain. It provides an overview of these approaches and includes dynamic contrast enhanced (DCE) MRI, dynamic susceptibility contrast (DSC) MRI, arterial spin labeling (ASL), chemical exchange saturation transfer (CEST) MRI, magnetic resonance spectroscopy (MRS), resting state functional MRI (rsfMRI), microscopic diffusion imaging, and quantitative susceptibility mapping (QSM). Chapters then follow that present the application of these methods to Alzheimer’s Disease and vascular dementia, small vessel disease, Parkinson’s Disease, Lewy body dementia, Huntington’s Disease, Amyotrophic Lateral Sclerosis, and Multiple Sclerosis.Advanced MR Techniques for Neurodegenerative Diseases is a comprehensive resource on the latest advanced MR techniques and their application to neurodegenerative diseases, suitable for MR engineers and physicists as well as clinicians and neuroscientists who use MR techniques for diagnosis and research.

  • Advances in Medical Imaging

    From Behavioral Analysis to Disease Prevention and Rehabilitation
    • 1st Edition
    • Dilber Uzun Ozsahin + 4 more
    • English
    Advances in Medical Imaging: From Behavioral Analysis to Disease Prevention and Rehabilitation presents a comprehensive exploration of the rapidly evolving field of medical imaging at the crossroads of clinical science, behavioral research, and public health. This book addresses the growing need to understand how advanced imaging technologies—such as MRI, PET, and ultrasound—are transforming healthcare beyond traditional diagnosis. By capturing structural, functional, metabolic, and molecular processes, these innovations provide new insights into brain function, lifestyle impacts, chronic disease, and rehabilitation, supporting the shift toward personalized and preventive medicine.The book is organized into five thematic sections covering a wide range of topics. Early chapters focus on the integration of neuroimaging with behavioral science, highlighting brain–behavior relationships through cutting-edge imaging modalities and cognitive software. Subsequent sections examine the effects of sedentary lifestyles on brain health, vascular function assessed by ultrasound, and musculoskeletal aging through imaging biomarkers. Additional chapters explore chronic disease management, yoga and cognitive well-being, stroke recovery, traumatic brain injury rehabilitation, and the expanding role of imaging in oncology and systemic diseases. Throughout, the book emphasizes the use of artificial intelligence, radiomics, and multimodal imaging to enhance precision medicine and population health research.Advances in Medical Imaging: From Behavioral Analysis to Disease Prevention and Rehabilitation offers valuable insights for researchers, clinicians, and healthcare professionals interested in the applications of medical imaging across multiple disciplines. It highlights imaging’s critical role in advancing personalized care, supporting preventive strategies, and fostering innovation in modern healthcare.

  • Humanizing Artificial Touch

    Skin, Sensing, and Structures
    • 1st Edition
    • John-John Cabibihan
    • English
    Humanizing Artificial Touch: Skin, Sensing, and Structures contains recent advances in artificial skin modelling and robotic tactile sensing technologies, integrating these in the structure of an artificial hand mimicking its important features. This book will give special treatment to the relationship between the artificial skin material and embedded tactile sensors, describing how artificial skin and embedded sensors can be designed and constructed using 3D printing technologies with case examples on how these were created for amputees achieve a more a natural and rich human-robot tactile interaction.This book is oriented towards students, researchers, and clinical practitioners who are working in the design and construction of artificial hands for prosthetics and social robotics.

  • Haptic Feedback Control in Medical Robotics

    • 1st Edition
    • Pushan Kumar Dutta + 4 more
    • English
    Haptic Feedback Control in Medical Robotics explores the transformative role of haptic technology on robotic surgical procedures, a vital area of innovation for biomedical engineers, covering their fundamental principles, practical applications, and the collaborative efforts required for their development. Through a blend of theoretical insights and real-world case studies, the book highlights how haptic feedback can restore sense of touch, enabling the execution of complex procedures with enhanced precision and safety. It serves as an indispensable resource for biomedical engineers and researchers, providing essential knowledge on the latest advancements, design challenges, and regulatory considerations surrounding haptic technology in medical robotics.By bridging the divide between engineering and clinical practice, it equips readers with the tools and understanding necessary for the future of surgical innovation, underscoring the critical role of tactile sensation in advancing robotic systems.

  • Intelligent Semantic Analysis for Healthcare

    • 1st Edition
    • Sonali Vyas + 3 more
    • English
    Intelligent Semantic Analysis for Healthcare explores the latest trends, developments, and future directions of intelligent semantic analysis techniques on retrieving and managing meaningful medical information for healthcare information systems. The book explores different computational methods, ideas, strategies, and techniques to analyze relevant healthcare information in an innovative and efficient way, thus bridging the gap between gathering and comprehending data with healthcare and biological applications. It offers a comprehensive view of intelligent semantic analysis in healthcare, bridging the gap between data collection and healthcare applications, and providing innovative computational methods for data analysis.Sections focus on intelligent semantic analysis rather than broader topics of big data and healthcare analytics. Additionally, the book is geared towards practical approaches and innovative techniques for state-of-the-art and current challenges in healthcare data management.

  • Photonic Sensors for Detection of VOC Biomarkers

    Technological Principles and Medical Applications
    • 1st Edition
    • Akhilesh Kumar Pathak + 2 more
    • English
    VOCs available in exhaled human breath are the products of metabolic activity in the body and, therefore, any changes in their control level can be utilized to diagnose specific diseases. More than 3000 VOCs have been identified in exhaled human breath along with the respiratory droplets which provide useful information on overall health conditions. This book covers the introductory information on VOCs, their source in the human body, associated diseases, potential sensing materials used for selective detection, and the advancement in the VOC sensing technologies. However, developing a rapid, highly selective, and sensitive VOC sensor remains a great challenge. This book analyzes all the challenges and their possible solutions that can be used to achieve target-specific detection and real-time monitoring of the VOC molecules in the exhaled breath. It also covers a detailed discussion of various sensing materials developed for selective and sensitive detection of VOC molecules and their integration with photonic devices in order to develop miniature technology. It covers various miniature sensing systems that are being exploited in VOC sensing such as interferometer, fiber Bragg gratings (FBGs), microstructured optical fiber (MOF), integrated photonics, 3D-printed optical devices, etc. Additionally, the book provides an overview of the FEM technique and computational methods used to optimize the optical sensing devices before practical realization. This book aims to provide comprehensive information to early career professionals and boost their existing knowledge in the area of Chemistry and Biomedical Engineering.

  • BioMEMS Devices

    • 1st Edition
    • Azrul Azlan Hamzah + 2 more
    • English
    BioMEMS Devices covers the fundamentals of bioMEMS and discusses how MEMS are implemented into biomedical devices. The book discusses the most up-to-date technologies, including the various types of electrochemical, optical, and mechanical MEMS sensors. Other topics include bio cell and particle separation and filtration using microfluidic platform such as dielectrophoresis (DEP) and microfilters. MEMS devices for drug mixing, pumping and transdermal drug delivery using microneedles and micropumps are also discussed, along with recent advances in point-of-care diagnostics and MEMS in medical implantsThe book concludes with a discussion on integration of bioMEMS system with IoT, medical practitioners’ adaptation of the devices, market penetration, emerging technologies, and future outlooks.

  • Medical Device Design

    Innovation from Concept to Market
    • 3rd Edition
    • Peter J. Ogrodnik
    • English
    Medical Device Design: Innovation from Concept to Market, Third Edition provides the bridge between engineering design and medical device development. The book clearly explains the process of medical device development - from very early stages of conceptualization to commercialization on the global market. It addresses medical devices' regulatory (FDA and EU) requirements, shows the essential methodologies medical designers must understand to ensure their products meet requirements, and brings together proven design protocols, enabling engineers and medical device manufacturers to rapidly bring new products to the marketplace.This book is suitable for professional engineers, both new and experienced, as well as students taking a course in medical device design.

  • Microneedle Technology

    Advances and Biomedical Applications
    • 1st Edition
    • Chuanbin Wu + 3 more
    • English
    Microneedle Technology: Advances and Biomedical Applications provides a detailed overview of advances in microneedle structure, materials, fabrication, along with strategies to improve efficient drug delivery. In addition, the book focuses on the application of microneedles for the treatment of diverse diseases, including diabetes, tumors, infectious disease, inflammatory diseases, skin infections, and wound healings. The book also summarizes the application of microneedles for cosmetic purposes and biological monitoring and diagnosis.

  • AI-Powered Developments in Medical Robotics

    Data-Driven Techniques for Enhanced Surgical Efficiency
    • 1st Edition
    • Thomas Heinrich Musiolik + 3 more
    • English
    AI-Powered Developments in Medical Robotics: Data-Driven Techniques for Enhanced Surgical Efficiency offers a comprehensive exploration of AI-driven innovations, robotics, and data-driven techniques specifically tailored for medical applications. The book strikes a balance by addressing foundational principles, emerging technologies, and their practical implementation in real-world scenarios. It enhances its value through the inclusion of real-world case studies and interdisciplinary perspectives, making it relevant for professionals, researchers, and students alike. The book explores future developments, such as augmented and virtual reality in medical robotics, positioning itself as a forward-thinking resource.By addressing current gaps in the field, including regulatory challenges, training needs, and cost-effectiveness, the book ensures a well-rounded approach that appeals to both advanced and emerging markets. This multifaceted perspective enriches the reader's understanding and equips them with actionable insights for navigating the complexities of AI-driven healthcare robotics. The book serves as a definitive reference for a global audience seeking innovation and practical solutions in the rapidly evolving landscape of medical technology, bridging the gap between theory and practice in a critical area of healthcare advancement.

  • Biomechanics and Mechanobiology of Bone

    From Model to Patient
    • 1st Edition
    • Luis Cardoso + 2 more
    • English
    Biomechanics and Mechanobiology of Bone: From Model to Patient provides readers with a comprehensive overview of the modelling and assessment of bone biomechanics. It addresses topics such as biosubstitutes and bone implants from the point of view of design, properties, computational modeling, and choice of biomaterials. It concentrates on the biomechanics and mechanobiology modeling approaches of bone, including biological models, multiphysical approaches, surface and volumetric growth models, and bone fluid flow models. This is augmented by case studies and examples of models for computer-aided diagnosis, treatment, and monitoring of bone diseases. Readers are introduced to bone physiology, adaptation, and disease, including cellular aspects at the root of bone mechanotransduction and leading to bone growth and remodeling, and management of diseases. Chapters also cover the mechanical, multiphysical multiscale properties of bone and constitutive laws including bone viscoelasticity, poroelasticity, bone damage, fatigue and fracture, as well as measurement techniques of bone properties.

  • Deep Learning in Bioinformatics

    Techniques and Applications in Practice
    • 2nd Edition
    • Habib Izadkhah
    • English
    Deep Learning in Bioinformatics: Techniques and Applications in Practice, Second Edition explores how deep learning can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule interaction prediction, and in systems biology. The book also presents theoretical and practical successes of deep learning in bioinformatics, pointing out problems and suggesting future research directions. This updated edition includes several new chapters, applications, and examples for new Deep Learning advances and techniques.Dr. Izadkhah provides valuable insights and will help researchers use deep learning techniques in their biological and bioinformatics studies.

  • Smart Healthcare 2.0

    Integrating Digital Twins with AI-Driven Predictive Analytics
    • 1st Edition
    • Ramesh Chandra Poonia + 1 more
    • English
    Smart Healthcare 2.0: Integrating Digital Twins with AI-Driven Predictive Analytics offers a groundbreaking exploration of how digital twin technology, combined with real-time sensing and predictive analytics, is transforming healthcare delivery. As the global healthcare landscape shifts toward proactive, personalized care, this book addresses the urgent need for comprehensive resources that unify artificial intelligence, Internet of Things (IoT), and biomedical engineering within the digital twin framework. It provides an essential guide for researchers, engineers, and clinicians aiming to harness virtual patient models and data-driven insights to improve health outcomes and system efficiency in the era of ubiquitous healthcare.This volume covers a wide spectrum of topics, starting with foundational concepts of digital twins in precision health and advancing through smart sensing technologies, scalable system architectures, and AI-powered predictive analytics. Readers will explore detailed discussions on edge-cloud computing, secure communication protocols including blockchain, and simulation platforms that enable virtual patient modeling. The book also addresses critical themes such as chronic disease management, emergency response optimization, ethical AI deployment, interoperability standards, and workforce readiness. Real-world case studies and future-focused chapters on cognitive twins and quantum simulation provide a rich, multidisciplinary perspective.

  • Modern fMRI

    Practical Lessons and Insights
    • 1st Edition
    • Andrew Jahn
    • English
    The field of neuroimaging with functional magnetic resonance imaging (fMRI) is developing at a rapid pace, with a seemingly endless number of software packages, statistical methods, and different ways to organize and analyze neuroimaging data. Among such a wide variety of options, and with so many seemingly conflicting pieces of advice on the “correct” way of analyzing neuroimaging data, knowing what decisions to make is a difficult task. Modern fMRI: Practical Lessons and Insights provides an up-to-date, holistic overview of the field of fMRI, familiarizing the reader with the latest trends in neuroimaging, such as standardized data organization and preprocessing, advances in functional connectivity and machine learning, and current guidelines in data and code sharing. This includes advice about best practices in preprocessing, statistical modeling, QA checks, and some of the latest tools and concepts to be familiar with, including fMRIPrep, OpenNeuro.org, Open Science practices, and Jupyter notebooks

  • Nanotechnology in Skin Cancer Management

    • 1st Edition
    • Harpreet Singh + 1 more
    • English
    Nanotechnology in Skin Cancer Management presents groundbreaking advances in nanotechnology that are reshaping the fields of dermatology and oncology. This comprehensive resource provides a deep dive into the latest research, state-of-the-art techniques, and practical applications of nanotechnology in the treatment of skin cancer. It serves as a comprehensive guide for those interested in unlocking the potential of nanotechnology for enhancing skin cancer management by consolidating essential information, making it an invaluable resource for understanding and harnessing the power of nanotechnology in this context.By offering an extensive overview of cutting-edge research, advanced technologies, and real-world clinical applications, this book demonstrates how nanotechnology can be designed to potentially revolutionize skin cancer management.

  • AI-Driven Cybersecurity for Intelligent Healthcare Systems

    • 1st Edition
    • Balamurugan Balusamy + 3 more
    • English
    AI-Driven Cybersecurity for Intelligent Healthcare Systems explores the intersection between AI, cybersecurity, and healthcare. The book offers detailed insights into the unique cybersecurity challenges faced by the healthcare sector and the role of AI in addressing these challenges. It presents case studies and real-world applications to illustrate the effectiveness of these solutions and highlights the significance of data privacy in healthcare and methods to ensure secure data sharing and storage. Topics such as federated learning, homomorphic encryption, and blockchain technology are covered to demonstrate how AI can enhance data security without compromising patient privacy.This book will be an essential resource for anyone involved in the healthcare industry, offering practical solutions and fostering a more in-depth understanding of how AI can revolutionize cybersecurity in healthcare.

  • Non-Stationary and Nonlinear Data Processing for Automated Computer-Aided Medical Diagnosis

    • 1st Edition
    • Rajesh Kumar Tripathy + 3 more
    • English
    Non-Stationary and Nonlinear Data Processing for Automated Computer-Aided Medical Diagnosis demonstrates the applications of machine learning and deep learning combined with signal processing techniques for human-machine interface applications using EMG signals. The book includes the analysis and classification of various heart diseases based on bio-signals like electrocardiogram (ECG), photoplethysmography (PPG), and phonocardiogram (PCG) signals. Various machine learning approaches, including advanced algorithms like multivariate signal processing, time-frequency analysis, and nonlinear signal processing are covered for CAD of neural, muscular, and cardiovascular diseases. The methods for CAD of various brain disorders are also included.Presented techniques utilize advanced non-stationary and nonlinear signal processing, along with machine learning and deep learning-based classification processes. CAD methods for diagnosing various neurological diseases are based on bio-signals such as electroencephalogram (EEG) and magnetoencephalogram (MEG), as well as medical images like magnetic resonance imaging (MRI) and computerized tomography (CT). Finally, the book addresses various types of medical signals and images, integrating nonlinear and non-stationary signal processing, machine learning, and deep learning within the CAD framework for diagnosing various diseases.

  • Intelligent Cyber-Physical Systems for Sustainable Healthcare

    • 1st Edition
    • Vandana Bajaj + 5 more
    • English
    Intelligent Cyber-Physical Systems for Sustainable Healthcare addresses the integration of emerging technologies like Virtual Reality, Smart Robotics, and Human-Computer Interaction, which are crucial for maximizing digital health's potential. The book includes case studies that highlight challenges faced by medical practitioners and industry professionals, providing valuable insights for designing sustainable iCPS solutions. Aimed at biomedical engineers, researchers, and industry professionals, it offers guidance for developing practical applications in sustainable healthcare. Additionally, shared, cross-disciplinary experiences assist engineers with less clinical expertise in enhancing healthcare applications in the intelligent digital health sector.Overall, case studies illustrate past challenges in the healthcare industry and present effective solutions to overcome them, making the book a comprehensive resource for advancing sustainable healthcare practices.

  • Smart Wearable IoT

    Principles and Implementation of Development Modules with Wireless Biomedical SOC
    • 1st Edition
    • Shuenn-Yuh Lee + 1 more
    • English
    Smart Wearable IoT: Principles and Implementation of Development Modules with Wireless Biomedical SOC focuses on the development of intelligent wearable technology integrated with the Internet and various platforms. The book provides detailed guidance on building a user-friendly development platform that features intelligent wearable systems, including bio-signal SoCs/modules, user-friendly websites/apps, and artificial intelligence (AI) systems on edge/cloud. By exploring specific case studies, such as the ECG-based fatigue analysis system, readers will gain fundamental knowledge in biosignal acquisition and processing.This hands-on approach enables users to understand the integration of digital signal processing and artificial intelligence in analyzing physiological data, ultimately enhancing their skills in developing innovative wearable solutions.

  • 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.

  • 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.