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Books in Life sciences

Elsevier's Life Sciences collection helps researchers get comprehensive coverage and up-to-date information on the study of living organisms, their processes, and interrelationships, spanning disciplines like biology, genetics, and biochemistry, and addressing emerging trends such as genomics, biotechnology, and sustainability, essential for advancing knowledge and driving innovation in the field.

  • 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.

  • Clinical Atlas of Gonioscopy

    • 1st Edition
    • Chunyan Qiao + 3 more
    • English
    Clinical Atlas of Gonioscopy comprehensively and systematically covers all aspects of gonioscopy: from basic knowledge and common manifestations to characteristic signs of different diseases, and the application of gonioscopy in the laser and surgical treatment of glaucoma. Including over a thousand high-quality images, it helps clinicians explore the diverse and fascinating world of the anterior chamber angle, and deepens their understanding of the pathogenesis, classification, diagnosis, differential diagnosis, treatment and follow-ups of glaucoma.

  • 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 ground-breaking 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. Each chapter is complemented by pedagogical tools and supported by a companion website offering extended resources for teaching and applied research. Researchers and academics will find a consolidated, interdisciplinary framework linking theory with practical healthcare applications, ideal for advancing scholarship and innovation.Biomedica... and clinical engineers gain actionable insights into system design, sensor integration, and clinical validation for building reliable, patient-centered solutions. Healthcare AI engineers and data scientists will benefit from specialized guidance on deploying predictive models, managing multi-sensor data fusion, and ensuring privacy-compliant, real-time analytics. This book empowers stakeholders across the healthcare ecosystem to drive the next generation of intelligent, adaptive, and trustworthy digital health systems.

  • PACAP

    From Discovery to Function
    • 1st Edition
    • David Vaudry + 1 more
    • English
    PACAP: From Discovery to Function in Health and Disease serves as a comprehensive review covering all aspects of PACAP and its receptors, from expression to function in healthy tissues and disease models. The book introduces the biochemical, pharmacological and signaling properties of PACAP before exploring the biological actions of PACAP in normal health and pathological conditions. It considers PACAP in relation to various aspects, including pain, stress, brain injury, tumor cells and neurodegenerative disease. Effect on peripheral organs is also covered, from the gastrointestinal tract and cardiovascular system to immune cells and bones, among others. Therapeutic potential is also explored. This is a volume in the Molecular Mediators in Health and Disease book series, and provides a complete analysis of PACAP and the latest research in the field. Thus it is an ideal guide for researchers interested in PACAP and its impact across health and disease.

  • 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.

  • Deep Learning Approaches for Healthcare Data Analysis and Decision Making

    • 1st Edition
    • Ashish Bagwari + 5 more
    • English
    Deep Learning Approaches for Healthcare Data Analysis and Decision Making demystifies complex data-driven technologies, providing a clear framework for integrating advanced analytics into healthcare practices. With a focus on practical applications, the authors present a comprehensive digital transformation methodology that empowers readers to tackle the multifaceted challenges of healthcare data management. By leveraging deep learning techniques, readers will learn to analyze vast datasets, identify critical patterns, and develop predictive models that enhance diagnosis and treatment strategies while ensuring compliance with stringent data regulations. The book also addresses the pressing need for ethical AI practices, emphasizing patient privacy and data security. Real-world case studies illustrate how to implement personalized healthcare solutions and foster interdisciplinary collaboration, breaking down silos in knowledge and practice. Moreover, it explores innovative business models for sustainable AI integration, offering actionable insights for healthcare providers. This resource equips professionals with the tools to drive innovation, improve patient outcomes, and navigate the complexities of digital transformation in healthcare, making it a must-read for anyone at the intersection of technology and healthcare.

  • Intelligence-Based Healthcare

    An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider
    • 1st Edition
    • Anthony Chang + 2 more
    • English
    Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider is an essential guide with an introduction to data science and artificial intelligence to provide the reader with a quick orientation and education on AI in healthcare. This book also offers a framework for success in planning, deployment, implementation, and evaluation of AI models in healthcare. In 25 chapters, Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider both introduces the reader to artificial in medicine and healthcare, and AI concepts. To render AI more understandable and relatable to the reader, case studies are used as a learning strategy to illustrate the aforementioned AI concepts. The cases implement AI in solving a very specific problem, clinical or operational, in clinical medicine or healthcare. Both cases that illustrate successful implementation of AI as unsuccessful application cases with important lessons learned are included. Each chapter can be read independently and therefore the book is a valuable resource for researchers, health professionals, postgraduate students, post doc researchers and faculty members in the fields of artificial intelligence in medicine and healthcare, and all those who wish to broaden their knowledge in the allied field.

  • New Insights in Pediatric Holter Monitoring and Interpretation

    • 1st Edition
    • Gabriel Cismaru + 2 more
    • English
    New Insights in Pediatric Holter Monitoring and Interpretation is the cutting edge book required by pediatric cardiologists and other professionals who encounter arrhythmias in children. Holter ECG examination has recently undergone significant advances in technology, sensors, and software. Yet, these innovations have been considered primarily in the context of adult patients. On the contrary, New Insights in Pediatric Holter Monitoring and Interpretation uses a case-based methodology to illustrate diagnosis and management of actual pediatric patients. Further, it offers guidance in deciding when referrals are necessary for arrhythmological consultations or ablation interventions. This book also contains novel techniques for detecting and interpreting pediatric arrhythmias. These include the introduction of Poincare graphs, Lorenz plots, and other advanced methods for assessing heart rate variability. New Insights in Pediatric Holter Monitoring and Interpretation modernizes readers' understanding of arrhythmias in children, thus improving the young lives of those in their care.

  • A Comprehensive Guide to Dorsal Root Ganglion Stimulation for Pain Management

    • 1st Edition
    • Scott G. Pritzlaff + 4 more
    • English
    A Comprehensive Guide to Dorsal Root Ganglion Stimulation for Pain Management explores the theoretical foundations, clinical applications, and technical nuances of DRG stimulation, providing a robust framework for understanding and implementing this advanced pain management technique. The book consolidates current best practices, novel technical considerations, and emerging research into a single, authoritative volume. Main themes include the anatomical and physiological basis of DRG stimulation, clinical indications, patient selection, surgical techniques, device programming, and long-term patient outcomes. By integrating insights from leading experts in the field, the book provides a comprehensive and practical guide for clinicians, researchers, and students. Distinct from existing titles that merely touch upon the subject, this book offers a detailed and specialized focus on DRG stimulation, including up-to-date evidence, clinical guidelines, and case studies. The book also features pedagogical elements such as learning objectives, review questions, and case studies to enhance understanding and application.

  • Shared Research Resources

    Best Practices in Management and Administration
    • 1st Edition
    • Andrew Vinard + 2 more
    • English
    Shared Research Resources: Best Practices in Management and Administration brings together best practices and case studies from research institutions around the world. Covering all areas of management, with examples and applications specific to the research environment, this is the perfect reference to build managerial skills. The first part is dedicated to introducing Shared Research Resources (SRR) management. The second part covers all aspects of staffing. Part three contains complete coverage of operations, including service development, instrument procurement, marketing, management software, customer support, safety, maintenance and repair. Part four is dedicated to fiscal management, budgeting, and reporting.Part five covers strategic management. Part six is devoted to the sustainability of the core facility. The final part covers assessment, including annual reports, program reviews, and audits. This book is a complete reference targeted at SRR managers and staff who need to keep updated with current best practices and case studies. It is also important reading for research institution managers and function leaders.

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