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Elsevier

Books in Bioinformatics and computational biology

  • Application of Python in the Healthcare Technology

    Medical Data Analysis and Developing ML/AI Models
    • 1st Edition
    • Praveen Kumar M
    • English
    Application of Python in Healthcare Technology: Medical Data Analysis and Developing ML/AI Models provides comprehensive coverage of the Python programming language from a medical-based perspective. With a strong focus on utility-based learning rather than technical-based learning of Python, this title clarifies how the application of Python in the healthcare technology industry has a meaningful impact on patient care through the development of deep learning models for early prediction of diseases and the development of Clinical Decision Support System (CDS). In 13 chapters, an extensive range of topics pertaining to the intersection of Python and medical sciences is covered. Coverage defines how to set up an environment to work with python, describes Python class, methods, and functions, explains both basic and advanced statistical analysis in Python, and provides a tool to assist in the development of deep learning models such as API, Git, Github, NumPy, Pandas, and SciPy.

  • Artificial Intelligence Based Primary Care

    Artificial Intelligence and Human Cognition in General Practice and Family Medicine
    • 1st Edition
    • Anthony C. Chang + 5 more
    • English
    Artificial Intelligence Based Primary Care: Artificial Intelligence and Human Cognition in General Practice and Family Medicine provides a comprehensive look into the integration of artificial intelligence within primary care. This book aims to bridge the gap between data scientists and primary care clinicians by presenting potential AI applications, implementation challenges, and real-world clinical scenarios in an accessible manner. Comprised of 5 sections and 20 chapters, it offers both theoretical insights and practical guidance for family medicine practitioners.Additi... the book includes a chapter dedicated to a day in the life of a General Practitioner, showcasing the practical impact of AI. It also features an extra compendium listing the Top 100 articles and best books on Artificial Intelligence. This resource is invaluable for academics, researchers, and clinicians eager to expand their knowledge in this emerging field.

  • Introduction to Structural Bioinformatics

    • 1st Edition
    • Yang Zhang + 3 more
    • English
    Introduction to Structural Bioinformatics offers a complete overview on the fundamental concepts and methodologies of structural bioinformatics and computational structural biology. The book is divided into three sections, beginning with a discussion of the key principles of bioinformatics and fundamental aspects, including bioinformatics databases, multiple sequence alignment, and machine learning. Section two then moves on to structural bioinformatics, where topics include Monte Carlo simulation, protein structure prediction, RNA structure prediction, and protein design. The final section of the book focuses on experimental structural determination, where chapters focus on techniques including X-ray crystallography, nuclear magnetic resonance and cryo-electron microscopy. This is an ideal guide on key principles, methods, and the most up-to-date developments across structural bioinformatics and computational structural biology. It will be a comprehensive reference for postgraduate students, instructors, and researchers working in these and adjacent subjects.

  • Human-AI-Cognitive Intelligence Software, System, and Services for Quality Assurance

    Theories and Methods with Systems Thinking for Behaviour Change in the Medical Decision-Making Pathway
    • 1st Edition
    • Pantea Keikhosrokiani
    • English
    Habit-based Behavior Change Medical Information Support System and Artificial Intelligence: Theories, Methods, and Data Analytics Approach provides a guideline to design and implement Habit-based Behavior Change Support Systems (HBCSS) which can change patient’s unhealthy habits to prevent the development of diseases. It presents theories, methods, management, and data analytics approach required to design, implement, and prescribe the use of HBCSS for several diseases’ management.It discusses topics such as theories of behavior change, ontologies and knowledge management, data mining, privacy and security, descriptive and prescription analytics. In addition, it discusses how to measure habit-change, future directions of the field, and case studies based on real-world examples.It is a valuable resource for clinicians, researchers, students, and member of the biomedical and medical fields who want to learn more about the use of medical systems to improve patients’ health.

  • Advances in Structural Biology

    Applications in Protein Structure, Function, and Disease
    • 1st Edition
    • Anas Shamsi + 3 more
    • English
    Advances in Structural Biology: Applications in Protein Structure, Function, and Disease offers a comprehensive, practical resource that bridges the latest experimental and computational approaches in structural biology. Backed by real-world case studies, it demonstrates how these technologies can be utilized to serve a range of biological needs. The content spans foundational principles of protein structure and bioinformatics tools, cutting-edge methodologies such as cryogenic electron microscopy, and the transformative role of artificial intelligence (AI) and big data analytics in structural biology. It also considers applications including drug discovery, vaccine development, antiviral therapy, personalized medicine, and the structural basis of aging and neurodegenerative diseases. This book also explores systems integration approaches, combining structural and omics data to advance immunotherapy and cancer treatment, concluding with a look toward future trends in the field.Advances in Structural Biology provides a detailed investigation into the latest developments in structural and computational biology, sharing insights into integrative methodologies that combine both traditional and emerging technologies. This resource is invaluable for advanced students, researchers, and professionals aiming to harness structural biology for innovative solutions in precision medicine and translational research.

  • Statistical Bioinformatics with R

    • 2nd Edition
    • Sunil K. Mathur
    • English
    Statistical Bioinformatics with R, Second Edition offers a balanced treatment of statistical theory within the context of bioinformatics applications. The book goes beyond gene expression and sequence analysis to include a careful integration of statistical theory in bioinformatics. The inclusion of R codes, along with the development of advanced methodologies such as Bayesian and Markov models, equips students with a solid foundation for conducting bioinformatics research. Sections incorporate the latest advancements in bioinformatics and statistical methodologies, including new chapters on cutting-edge topics such as high-throughput sequencing data analysis, AI/machine learning applications in bioinformatics, and advanced statistical methods.From new and updated practical examples and case studies that illustrate real-world applications of statistical techniques to bioinformatic problems to enhanced end-of-chapter exercises, detailed code annotations, and an improved companion website with supplementary materials, including datasets and R scripts, this book is a valuable resource for both self-study and formal coursework, fostering a deeper understanding of statistical bioinformatics and equipping readers with the skills needed to tackle complex biological data analysis challenges.

  • Digital Health Maturity: Quality, Interoperability, and Innovation

    • 1st Edition
    • Siaw-Teng Liaw + 3 more
    • English
    Digital Health Maturity: Quality, Interoperability, and Innovation provides a roadmap to move from endless pilots and ad hoc system purchase to a systematic, stepwise, and integrated approach to increasing digital health capacity. Specific guidelines, tools, and use cases are discussed to show how the digital health maturity metamodel (DHM3) can be put into actual practice. The book discusses topics such as foundations of digital health and how to put them into practice; organizational considerations for implementation; and best practices, tools, and pitfalls to avoid. In addition, it discusses the future of digital transformation and the impact of a global adherence to digital health. It is a valuable resource for researchers, students, policy makers, governments and anyone who is interested in learning more about digital health and its benefits worldwide.

  • Multi-Omics Technology in Human Health and Diseases

    Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omics
    • 1st Edition
    • Muzafar A Macha + 2 more
    • English
    Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omic offers an advanced exploration into the comprehensive understanding of disease etiology and prognosis through multiomics approaches. This authoritative volume delves into the applications of multiomics technology in elucidating complex human health conditions and diseases. It introduces the technology's potential for biomarker identification, drug discovery, and disease prognostication. For a thorough understanding of human health and diseases, particularly cancer, it is essential to integrate knowledge of molecular biomarkers across multiple omics levels, including the genome, epigenome, transcriptome, proteome, and metabolome. This resource addresses the current gaps in knowledge among students and researchers, providing in-depth coverage of multiomics technology and its implementation in scientific research and discovery.Multi-Omic... Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omics is a pioneering resource that presents cutting-edge information on contemporary multiomics technologies for big data interpretation and their applications in deciphering complex human pathobiology. This comprehensive guide is indispensable for researchers, academics, students, and industry professionals alike.

  • Deep Learning in Genetics and Genomics

    Volume 1: Foundations and Introductory Applications
    • 1st Edition
    • Khalid Raza
    • English
    Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications, the intersection of deep learning and genetics opens up new avenues for advancing our understanding of the genetic code, gene regulation, and the broader genomics landscape. The book not only covers the most up-to-date advancements in the field of deep learning in genetics and genomics, but also a wide spectrum of (sub) topics including medical and clinical genetics, predictive medicine, transcriptomic, and gene expression studies. In 21 chapters Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications describes how AI and DL have become increasingly useful in genetics and genomics research where both play a crucial role by accelerating research, improving the understanding of the human genome, and enabling personalized healthcare. From the fundamentals concepts and practical applications of deep learning algorithms to a wide range of challenging problems from genetics and genomics, Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications creates a better knowledge of the biological and genetics mechanisms behind disease illnesses and improves the forecasting abilities using the different methodologies described. This title offers a unique resource for wider, deeper, and in-depth coverage of recent advancement in deep learning-based approaches in genetics and genomics, helping researchers process and interpret vast amounts of genetic data, identify patterns, and make discoveries that would be challenging or impossible using traditional methods.

  • The Three Functional States of Proteins

    Structured, Intrinsically Disordered, and Phase Separated
    • 1st Edition
    • Timir Tripathi + 1 more
    • English
    The Three Functional States of Proteins explores how structured proteins, intrinsically disordered proteins, and phase separated proteins contribute to the complexity of cellular life, and offers insights into their roles in both health and disease. It discusses the latest research findings and highlight groundbreaking discoveries and innovative methodologies used to study these protein states.Traditionally... the different states of proteins have been defined based on their structures and functions. However, it is becoming increasingly clear that these criteria alone may not be sufficient to capture the complex and multifaceted properties of these molecules. Definitions based on thermodynamics and kinetics are now recognized as potentially more appropriate for comprehensively understanding protein states. Emerging evidence indicates that under physiological conditions, a majority of proteins possess the capability to exist in and transition between the native, droplet, and amyloid states. These distinct states play crucial roles in various cellular functions, influenced significantly by their physicochemical and structural properties. The book also considers the interactions among these states and discusses how their internal organization as individual molecules, as well as their collective organization as molecular assemblies are stabilized. Furthermore, it examines the processes by which these states are formed and the cellular functions associated with each specific state.

  • Next Generation eHealth

    Applied Data Science, Machine Learning and Extreme Computational Intelligence
    • 1st Edition
    • Miltiadis D. Lytras + 3 more
    • English
    Next Generation eHealth: Applied Data Science, Machine Learning and Extreme Computational Intelligence discusses the emergence, the impact, and the potential of sophisticated computational capabilities in healthcare. This book provides useful therapeutic targets to improve diagnosis, therapies, and prognosis of diseases, as well as helping with the establishment of better and more efficient next-generation medicine and medical systems. Machine learning as a field greatly contributes to next-generation medical research with the goal of improving medicine practices and medical Systems. As a contributing factor to better health outcomes, this book highlights the need for advanced training of professionals from various health areas, clinicians, educators, and social professionals who deal with patients. Content illustrates current issues and future promises as they pertain to all stakeholders, including informaticians, professionals in diagnostics, key industry experts in biotech, pharma, administrators, clinicians, patients, educators, students, health professionals, social scientists and legislators, health providers, advocacy groups, and more. With a focus on machine learning, deep learning, and neural networks, this volume communicates in an integrated, fresh, and novel way the impact of data science and computational intelligence to diverse audiences.

  • Artificial Intelligence in Biomedical and Modern Healthcare Informatics

    • 1st Edition
    • M. A. Ansari + 4 more
    • English
    Artificial Intelligence in Biomedical and Modern Healthcare Informatics provides a deeper understanding of the current trends in AI and machine learning within healthcare diagnosis, its practical approach in healthcare, and gives insight into different wearable sensors and its device module to help doctors and their patients in enhanced healthcare system.The primary goal of this book is to detect difficulties and their solutions to medical practitioners for the early detection and prediction of any disease.The 56 chapters in the volume provide beginners and experts in the medical science field with general pictures and detailed descriptions of imaging and signal processing principles and clinical applications.With forefront applications and up-to-date analytical methods, this book captures the interests of colleagues in the medical imaging research field and is a valuable resource for healthcare professionals who wish to understand the principles and applications of signal and image processing and its related technologies in healthcare.

  • Concepts and Techniques in OMICS and System Biology

    • 1st Edition
    • Asmat Farooq + 5 more
    • English
    Concepts and Techniques in OMICS and Systems Biology provides a concise and lucid account on the technical aspects of omics, system biology and their application in fields of different life science.With a strong focus on the fundamental principles understanding of metabolomics, ionomics and system biology, the book also gives an updated account on technical aspects of omics and system biology. Since both omics and systems biology fields are fast advancing filed of biological sciences, its significance and applications need to be understood from the baseline.In 10 chapters Concepts and Techniques in OMICS and Systems Biology introduces the reader to both Proteomics, Metabolomics and Ionomics, and System Biology, the technical applications, describes both the software in for proteomics as metabolomic enumeration and preludes Omics technologies and their applications.The chapters are designed in a well-defined chronology such that readers will understand the concepts and techniques involved in omics and system biology. This compilation will be ideal reading material for students, researchers and people working in the industries related to biological sciences.

  • Recent Trends in Fractional Calculus and Its Applications

    • 1st Edition
    • Praveen Agarwal + 2 more
    • English
    Recent Trends in Fractional Calculus and Its Applications addresses the answer to this very basic question: "Why is Fractional Calculus important?" Until recent times, Fractional Calculus was considered as a rather esoteric mathematical theory without applications, but in the last few decades there has been an explosion of research activities on the application of Fractional Calculus to very diverse scientific fields ranging from the physics of diffusion and advection phenomena, to control systems to finance and economics. An important part of mathematical modelling of objects and processes is a description of their dynamics.The term Fractional Calculus is more than 300 years old. It is a generalization of the ordinary differentiation and integration to noninteger (arbitrary) order. The subject is as old as the calculus of differentiation and goes back to times when Leibniz, Gauss, and Newton invented this kind of calculation. Several mathematicians contributed to this subject over the years. People like Liouville, Riemann, and Weyl made major contributions to the theory of Fractional Calculus. In recent decades the field of Fractional Calculus has attracted the interest of researchers in several areas, including mathematics, physics, chemistry, engineering, finance, and social sciences.

  • Resilient Health

    Leveraging Technology and Social Innovations to Transform Healthcare for COVID-19 Recovery and Beyond
    • 1st Edition
    • Judy Kuriansky + 1 more
    • English
    Resilient Health: Leveraging Technology and Social Innovations to Transform Healthcare for COVID-19 Recovery and Beyond presents game-changing and disruptive technological innovations and social applications in physical and mental healthcare around the world for the post-COVID age and beyond, addressing the urgent need for care. In this first-of-its kind comprehensive volume, experts and stakeholders from all sectors - government and the public and private sectors - offer models and frameworks for policy, programming, and financing to transform healthcare, address inequities, close the treatment gap, and “build back better,” especially for under-resourced vulnerable communities globally, to “leave no one behind” and advance development globally. Contributions from world experts cover 8 essential parts: The context and challenges for resilient health systems to shape the future; developments and directions (AI, VR, MR, IVAs and more); an innovations toolbox, also targeted for special populations and settings (women, youth, ageing, migrants, disabled persons, indigenous peoples, in the workplace); the role of stakeholders (governments, the United Nations bodies, and the public and private sector); forums and networks; innovative financing; resources, lessons learned and the way forward.

  • Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies

    Shaping Digital Future
    • 1st Edition
    • Patricia Ordonez de Pablos
    • English
    Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies: Shaping Digital Future provides insight to the potential of advanced information technologies to build stronger healthcare systems, better quality healthcare services, and more resilient societies. The book covers two important regions: Gulf Region (Bahrein, Kuwait, Oman, Qatar, and UAE) and Asia, and explores how these countries develop policies for healthy aging and how digital tools can serve these goals. This book delivers a collection of relevant, innovative research works on digital healthcare, with four main goals: (1) to cover two geographical regions (Asia and Gulf Region) with important advances in digital healthcare; (2) to present case studies in the field of IT and digital health during the pandemic and analyze the lessons from these studies; (3) to evaluate the latest advances in the field of digital healthcare (especially Artificial Intelligence [AI], Big Data, Blockchain, and 5G); and (4) to discuss implications for main stakeholders (patients, doctors, IT experts, directors, and policy managers) and recommendations for policy makers in these two regions and elsewhere.

  • Biological Insights of Multi-Omics Technologies in Human Diseases

    • 1st Edition
    • Aarif Ali + 3 more
    • English
    Biological Insights of Multi-Omics Technologies in Human Diseases provides detailed information about the basics of multi-omic technologies, including ethics, historical perspective, science, drug discovery, and development and metabolism. With a strong focus on the practical application of omics approaches in cancer, cardiovascular, neurology, respiratory, viral, gastroenterology, autoimmune diseases, PCOS and tuberculosis, this book also includes special topics related to COVID-19 and Machine learning approaches. In 13 chapters, this book provides comprehensive coverage of the challenges and opportunities facing the therapeutic implications of multi-omics from academic, regulatory, pharmaceutical, socio-ethical, and economic perspectives.The chapters are designed in a well-defined chronology such that readers will intuitively understand the central idea. This book is an ideal resource for health professionals, scientists and researchers, nutritionists, health practitioners, students, and all those who wish to broaden their knowledge in the allied field.

  • Integrative Omics

    Concept, Methodology, and Application
    • 1st Edition
    • Manish Kumar Gupta + 3 more
    • English
    Integrative Omics: Concept, Methodology and Application provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships. The reference provides systemic ‘step-by-step’ coverage that begins with basic concepts from Omic to Multi Integrative Omics approaches followed by applications and emerging and future trends. All areas of Omics are covered, including biological databases, sequence alignment, pharmacogenomics, nutrigenomics and microbial omics, integrated omics for Food Science and Identification of genes associated with disease, clinical data integration and data warehousing, translational omics, technology policy, and society research. This book covers recent concepts, methodologies, advancements in technologies and is also well-suited for researchers from both academic and industry background, undergraduate and graduate students who are mainly working in the area of computational systems biology, integrative omics and translational science.

  • Artificial Intelligence in Medicine

    From Ethical, Social, and Legal Perspectives
    • 1st Edition
    • Joseph JY Sung + 1 more
    • English
    Artificial Intelligence in Medicine: From Ethical, Social, and Legal Perspectives provides answers on how to improve acceptance and diminish the anxiety of the use of AI-assisted medicine. Through a series of social, ethical, and legal discussions from clinicians, social scientists, ethicists, and legal experts, this important reference has coverage that includes good data custodianship and stewardship, data access, data bias, data & healthcare equity, privacy and confidentiality, algorithmic understanding, and regulatory guidance, accountability, and legal responsibility.This reference will explain to healthcare providers how AI will enhance healthcare, will introduce to scientists and researchers the ethical and social aspect of AI that needs to be addressed, and will urge policymakers and health authorities to consider the legal framework needed to implement AI technology in healthcare.

  • Applications of Artificial Intelligence in Healthcare and Biomedicine

    • 1st Edition
    • Abdulhamit Subasi
    • English
    Applications of Artificial Intelligence in Healthcare and Biomedicine provides ​updated knowledge on the applications of artificial intelligence in medical image analysis. In 16 chapters, it presents artificial applications in Electrocardiogram (ECG), Electroencephalogram (EEG) and Electromyography (EMG), signal analysis, Computed Tomography (CT), Magnetic Resonance Imaging (MR), and Ultrasound image analysis. It equips researchers with tools for early breast cancer detection from mammograms using artificial intelligence (AI), AI models to detect lung cancer using histopathological image, and a deep learning-based approach to get a proper and faster diagnosis of the Optical Coherence Tomography (OCT) images.In addition, it presents 3D medical image analysis using 3D Convolutional Neural Networks (CNNs). Final sections cover an AI-based approach to forecast diabetes patients' hospital re-admissions. This is a valuable resource for clinicians, researchers, and healthcare professionals who are interested in learning more about the applications of Artificial Intelligence and its impact in medical/biomedical image analysis.

  • A Biologist’s Guide to Artificial Intelligence

    Building the foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences
    • 1st Edition
    • Ambreen Hamadani + 3 more
    • English
    A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future.This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms.

  • Active Learning for Digital Transformation in Healthcare Education, Training and Research

    • 1st Edition
    • Miltiadis D. Lytras + 1 more
    • English
    Active Learning for Digital Transformation in Healthcare Education, Training and Research discusses the potential of advanced training of health professionals as a contributing factor to improve treatment outcomes. By reading this book, professionals who deal with patients with low health literacy will be prepared to promote better access to digital tools, understand the habits of users of health services, and empower engagement. The book contains a set of techniques and instruments associated with health literacy, communication skills and personal development that will enable their application in good daily practices and assist healthcare professionals to promote digital transformation to patients. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about how they can be an effective agent of change in healthcare.

  • Deep Learning in Personalized Healthcare and Decision Support

    • 1st Edition
    • Harish Garg + 1 more
    • English
    Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth.

  • Digital Transformation in Healthcare in Post-COVID-19 Times

    • 1st Edition
    • Miltiadis D. Lytras + 2 more
    • English
    Digital Transformation in Healthcare in Post-Covid19 Times discusses recent advances in patient care and offers critical comparative insights into their application across multiple domains in healthcare. By showcasing key problems, best practices and emerging challenges, the book offers a state-of-art review of opportunities and prospects in the process of delivering smart sustainable healthcare services. Topics discussed include healthcare challenges in the post-COVID-19 era, enabling technologies for digital transformation, value driven approaches to the delivery of patient centric top-quality health services, and analytics and enhanced decision making. In addition, the book updates knowledge on best practices for training towards digital transformation and sustainable health. This is a valuable resource for healthcare professionals, medical doctors, researchers, graduate students and members of the biomedical field who are interested in learning more about the use of emerging technologies in healthcare.

  • All About Bioinformatics

    From Beginner to Expert
    • 1st Edition
    • Yasha Hasija
    • English
    All About Bioinformatics: From Beginner to Expert provides readers with an overview of the fundamentals and advances in the _x001F_field of bioinformatics, as well as some future directions. Each chapter is didactically organized and includes introduction, applications, tools, and future directions to cover the topics thoroughly. The book covers both traditional topics such as biological databases, algorithms, genetic variations, static methods, and structural bioinformatics, as well as contemporary advanced topics such as high-throughput technologies, drug informatics, system and network biology, and machine learning. It is a valuable resource for researchers and graduate students who are interested to learn more about bioinformatics to apply in their research work.

  • Unleashing the Potentials of Blockchain Technology for Healthcare Industries

    • 1st Edition
    • Amar Das + 4 more
    • English
    Unleashing the Potentials of Blockchain Technology for Healthcare Industries discusses blockchain and its adaptation in healthcare industries to provide a secured framework to safeguard healthcare data, both patient and hospital data. The book integrates key pillars of blockchain such as foundations, architecture, smart contracts, adoption, standards, service (BaaS), security, consensus algorithms, drug discovery process, among others, for fortifying the current practices in the healthcare industries. In addition, it offers solutions to the pressing issues currently being faced by the healthcare processes due to the COVD-19 pandemic. This will be a valuable resource for medical informaticians, researchers, healthcare professionals and members of the biomedical field who are interested in learning more about the potentials of blockchain in healthcare.

  • Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases

    Lessons Learned From COVID-19
    • 1st Edition
    • Esteban A. Hernandez-Vargas + 1 more
    • English
    Mathematical Modeling, Simulations, and Artificial Intelligence for Emergent Pandemic Diseases: Lessons Learned from COVID-19 includes new research, models and simulations developed during the COVID-19 pandemic into how mathematical methods and practice can impact future response. Chapters go beyond forecasting COVID-19, bringing different scale angles and mathematical techniques (e.g., ordinary differential and difference equations, agent-based models, artificial intelligence, and complex networks) which could have potential use in modeling other emergent pandemic diseases. A major part of the book focuses on preparing the scientific community for the next pandemic, particularly the application of mathematical modeling in ecology, economics and epidemiology. Readers will benefit from learning how to apply advanced mathematical modeling to a variety of topics of practical interest, including optimal allocations of masks and vaccines but also more theoretical problems such as the evolution of viral variants.

  • Computational Methods and Deep Learning for Ophthalmology

    • 1st Edition
    • D. Jude Hemanth
    • English
    Computational Methods and Deep Learning for Ophthalmology presents readers with the concepts and methods needed to design and use advanced computer-aided diagnosis systems for ophthalmologic abnormalities in the human eye. Chapters cover computational approaches for diagnosis and assessment of a variety of ophthalmologic abnormalities. Computational approaches include topics such as Deep Convolutional Neural Networks, Generative Adversarial Networks, Auto Encoders, Recurrent Neural Networks, and modified/hybrid Artificial Neural Networks. Ophthalmological abnormalities covered include Glaucoma, Diabetic Retinopathy, Macular Degeneration, Retinal Vein Occlusions, eye lesions, cataracts, and optical nerve disorders. This handbook provides biomedical engineers, computer scientists, and multidisciplinary researchers with a significant resource for addressing the increase in the prevalence of diseases such as Diabetic Retinopathy, Glaucoma, and Macular Degeneration.

  • Clinical Decision Support and Beyond

    Progress and Opportunities in Knowledge-Enhanced Health and Healthcare
    • 3rd Edition
    • Robert Greenes + 1 more
    • English
    Clinical Decision Support and Beyond: Progress and Opportunities in Knowledge-Enhanced Health and Healthcare, now in its third edition, discusses the underpinnings of effective, reliable, and easy-to-use clinical decision support systems at the point of care as a productive way of managing the flood of data, knowledge, and misinformation when providing patient care. Incorporating CDS into electronic health record systems has been underway for decades; however its complexities, costs, and user resistance have lagged its potential. Thus it is of utmost importance to understand the process in detail, to take full advantage of its capabilities. The book expands and updates the content of the previous edition, and discusses topics such as integration of CDS into workflow, context-driven anticipation of needs for CDS, new forms of CDS derived from data analytics, precision medicine, population health, integration of personal monitoring, and patient-facing CDS. In addition, it discusses population health management, public health CDS and CDS to help reduce health disparities. It is a valuable resource for clinicians, practitioners, students and members of medical and biomedical fields who are interested to learn more about the potential of clinical decision support to improve health and wellness and the quality of health care.

  • Practical Data Analytics for Innovation in Medicine

    Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies
    • 2nd Edition
    • Gary D. Miner + 6 more
    • English
    Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics.

  • Multivariate Analyses of Codon Usage Biases

    • 1st Edition
    • Jean R. Lobry
    • English
    A complete case study with all coding sequences from the bacteria Borrellia burgdorferi illustrates how multivariate analyses reveals evolutionary mechanisms acting at the molecular level. They are either mutationnal (symmetric and asymmetric directionnal mutation pressure) or selective (selection against head-on collisions or linked to gene expressivity or subcellular location).

  • Multivariate Analysis in the Pharmaceutical Industry

    • 1st Edition
    • Ana Patricia Ferreira + 2 more
    • English
    Multivariate Analysis in the Pharmaceutical Industry provides industry practitioners with guidance on multivariate data methods and their applications over the lifecycle of a pharmaceutical product, from process development, to routine manufacturing, focusing on the challenges specific to each step. It includes an overview of regulatory guidance specific to the use of these methods, along with perspectives on the applications of these methods that allow for testing, monitoring and controlling products and processes. The book seeks to put multivariate analysis into a pharmaceutical context for the benefit of pharmaceutical practitioners, potential practitioners, managers and regulators. Users will find a resources that addresses an unmet need on how pharmaceutical industry professionals can extract value from data that is routinely collected on products and processes, especially as these techniques become more widely used, and ultimately, expected by regulators.

  • Health Professionals' Education in the Age of Clinical Information Systems, Mobile Computing and Social Networks

    • 1st Edition
    • Aviv Shachak + 2 more
    • English
    Health Professionals' Education in the Age of Clinical Information Systems, Mobile Computing and Social Networks addresses the challenges posed by information and communication technology to health professionals’ education, and the lessons learned from field experiences and research. This book is divided in three parts: "the changing landscape of information and communication technology in health care", in which it discusses how information and communication technology is transforming health care and the implications of these changes for health professions education; "experiences from the field", with real-life examples of health professionals’ education in and for the digital era; and "evaluation of students and programs", addressing the use of technology to assess learners as well as the complexity of evaluating programs to enhance competence in an information technology-rich health care world Written by leading researchers from different parts of the world, the book is a valuable source for educators and professionals who are active or wish to be part of the health informatics field.

  • Translational Bioinformatics and Systems Biology Methods for Personalized Medicine

    • 1st Edition
    • Qing Yan
    • English
    Translational Bioinformatics and Systems Biology Methods for Personalized Medicine introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine. Through the description of important cutting-edge technologies in bioinformatics and systems biology, readers may gain an essential understanding of state-of-the-art methodologies. The book discusses topics such as the challenges and tasks in translational bioinformatics; pharmacogenomics, systems biology, and personalized medicine; and the applicability of translational bioinformatics for biomarker discovery, epigenomics, and molecular dynamics. It also discusses data integration and mining, immunoinformatics, and neuroinformatics. With broad coverage of both basic scientific and clinical applications, this book is suitable for a wide range of readers who may not be scientists but who are also interested in the practice of personalized medicine.

  • Statistics for Bioinformatics

    Methods for Multiple Sequence Alignment
    • 1st Edition
    • Julie Thompson
    • English
    Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional, and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs.

  • Data Mining for Bioinformatics Applications

    • 1st Edition
    • He Zengyou
    • English
    Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation.

  • Practical Predictive Analytics and Decisioning Systems for Medicine

    Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research
    • 1st Edition
    • Gary D. Miner + 7 more
    • English
    With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety, patient communication, and patient information. Through the use of predictive analytic models and applications, this book is an invaluable resource to predict more accurate outcomes to help improve quality care in the healthcare and medical industries in the most cost–efficient manner.Practical Predictive Analytics and Decisioning Systems for Medicine provides the basics of predictive analytics for those new to the area and focuses on general philosophy and activities in the healthcare and medical system. It explains why predictive models are important, and how they can be applied to the predictive analysis process in order to solve real industry problems. Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions.

  • Principles of Biomedical Informatics

    • 2nd Edition
    • Ira J. Kalet
    • English
    This second edition of a pioneering technical work in biomedical informatics provides a very readable treatment of the deep computational ideas at the foundation of the field. Principles of Biomedical Informatics, 2nd Edition is radically reorganized to make it especially useable as a textbook for courses that move beyond the standard introductory material. It includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as:• tree structured data, interval trees, and time-oriented medical data and their use• On Line Application Processing (OLAP), an old database idea that is only recently coming of age and finding surprising importance in biomedical informatics• a discussion of nursing knowledge and an example of encoding nursing advice in a rule-based system• X-ray physics and algorithms for cross-sectional medical image reconstruction, recognizing that this area was one of the most central to the origin of biomedical computing• an introduction to Markov processes, and• an outline of the elements of a hospital IT security program, focusing on fundamental ideas rather than specifics of system vulnerabilities or specific technologies. It is simultaneously a unified description of the core research concept areas of biomedical data and knowledge representation, biomedical information access, biomedical decision-making, and information and technology use in biomedical contexts, and a pre-eminent teaching reference for the growing number of healthcare and computing professionals embracing computation in health-related fields. As in the first edition, it includes many worked example programs in Common LISP, the most powerful and accessible modern language for advanced biomedical concept representation and manipulation. The text also includes humor, history, and anecdotal material to balance the mathematically and computationally intensive development in many of the topic areas. The emphasis, as in the first edition, is on ideas and methods that are likely to be of lasting value, not just the popular topics of the day. Ira Kalet is Professor Emeritus of Radiation Oncology, and of Biomedical Informatics and Medical Education, at the University of Washington. Until retiring in 2011 he was also an Adjunct Professor in Computer Science and Engineering, and Biological Structure. From 2005 to 2010 he served as IT Security Director for the University of Washington School of Medicine and its major teaching hospitals. He has been a member of the American Medical Informatics Association since 1990, and an elected Fellow of the American College of Medical Informatics since 2011. His research interests include simulation systems for design of radiation treatment for cancer, software development methodology, and artificial intelligence applications to medicine, particularly expert systems, ontologies and modeling.

  • Bioinformatics for Biomedical Science and Clinical Applications

    • 1st Edition
    • K-H Liang
    • English
    Contemporary biomedical and clinical research is undergoing constant development thanks to the rapid advancement of various high throughput technologies at the DNA, RNA and protein levels. These technologies can generate vast amounts of raw data, making bioinformatics methodologies essential in their use for basic biomedical and clinical applications.Bioinfo... for biomedical science and clinical applications demonstrates what these cutting-edge technologies can do and examines how to design an appropriate study, including how to deal with data and address specific clinical questions. The first two chapters consider Bioinformatics and analysis of the human genome. The subsequent three chapters cover the introduction of Transcriptomics, Proteomics and Systems biomedical science. The remaining chapters move on to critical developments, clinical information and conclude with domain knowledge and adaptivity.

  • Bioinformatics in Human Health and Heredity

    • 1st Edition
    • Volume 28
    • English
    The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and recent developments. The Handbook of Statistics, a series of self-contained reference books. Each volume is devoted to a particular topic in statistics with Volume 28 dealing with bioinformatics. Every chapter is written by prominent workers in the area to which the volume is devoted. The series is addressed to the entire community of statisticians and scientists in various disciplines who use statistical methodology in their work. At the same time, special emphasis is placed on applications-oriente... techniques, with the applied statistician in mind as the primary audience.

  • Calculations for Molecular Biology and Biotechnology

    A Guide to Mathematics in the Laboratory
    • 2nd Edition
    • Frank H. Stephenson
    • English
    Calculations for Molecular Biology and Biotechnology: A Guide to Mathematics in the Laboratory, Second Edition, provides an introduction to the myriad of laboratory calculations used in molecular biology and biotechnology. The book begins by discussing the use of scientific notation and metric prefixes, which require the use of exponents and an understanding of significant digits. It explains the mathematics involved in making solutions; the characteristics of cell growth; the multiplicity of infection; and the quantification of nucleic acids. It includes chapters that deal with the mathematics involved in the use of radioisotopes in nucleic acid research; the synthesis of oligonucleotides; the polymerase chain reaction (PCR) method; and the development of recombinant DNA technology. Protein quantification and the assessment of protein activity are also discussed, along with the centrifugation method and applications of PCR in forensics and paternity testing.

  • Probabilistic Methods for Bioinformatics

    with an Introduction to Bayesian Networks
    • 1st Edition
    • Richard E. Neapolitan
    • English
    The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformatics. Rather than getting bogged down in proofs and algorithms, probabilistic methods used for biological information and Bayesian networks are explained in an accessible way using applications and case studies. The many useful applications of Bayesian networks that have been developed in the past 10 years are discussed. Forming a review of all the significant work in the field that will arguably become the most prevalent method in biological data analysis.

  • Principles of Biomedical Informatics

    • 1st Edition
    • Ira J. Kalet
    • English
    Principles of Biomedial Informatics provides a foundation for understanding the fundamentals of biomedical informatics, which deals with the storage, retrieval, and use of biomedical data for biological problem solving and medical decision making. It covers the application of these principles to the three main biomedical domains of basic biology, clinical medicine, and public health. The author offers a coherent summary, focusing on the three core concept areas of biomedical data and knowledge representation: biomedical information access, biomedical decision making, and information and technology use in biomedical contexts.

  • Practical Guide to Clinical Computing Systems

    Design, Operations, and Infrastructure
    • 1st Edition
    • Thomas Payne
    • English
    The development of clinical computing systems is a rapidly growing priority area of health information technology, spurred in large measure by robust funding at the federal and state levels. It is widely recognized as one of the key components for reducing costs and improving the quality of care. At the same time as more and more hospitals and clinics are installing clinical computing systems, major issues related to design, operations, and infrastructure remain to be resolved. This book tackles these critical topics, including system selection, configuration, installation, user support, interface engines, and long-term operation. It also familiarizes the reader with regulatory requirements, budgetary issues, and other aspects of this new electronic age of healthcare delivery.It begins with an introduction to clinical computing and definition of key terminology. The next several chapters talk about system architecture and interface design, followed by detailed discussion of all aspects of operations. Attention is then given to the realities of leadership, planning, oversight, budgeting, and employee recruitment. This invaluable resource includes a special section that talks about career development for students and others interested in entering the field.

  • Systems Biology

    Philosophical Foundations
    • 1st Edition
    • Fred Boogerd + 3 more
    • English
    Systems biology is a vigorous and expanding discipline, in many ways a successor to genomics and perhaps unprecedented in its combination of biology with a great many other sciences, from physics to ecology, from mathematics to medicine, and from philosophy to chemistry. Studying the philosophical foundations of systems biology may resolve a longer standing issue, i.e., the extent to which Biology is entitled to its own scientific foundations rather than being dominated by existing philosophies.

  • Outcome Prediction in Cancer

    • 1st Edition
    • Azzam F.G. Taktak + 1 more
    • English
    This book is organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. The first section describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. Amongst issues discussed in this section are the TNM staging, accepted methods for survival analysis and competing risks. The second section describes the biological and genetic markers and the rôle of bioinformatics. Understanding of the genetic and environmental basis of cancers will help in identifying high-risk populations and developing effective prevention and early detection strategies. The third section provides technical details of mathematical analysis behind survival prediction backed up by examples from various types of cancers. The fourth section describes a number of machine learning methods which have been applied to decision support in cancer. The final section describes how information is shared within the scientific and medical communities and with the general population using information technology and the World Wide Web.

  • Bioinformatics

    • 1st Edition
    • Volume 6
    • Dilip K Arora + 2 more
    • English
    The advances in genomic technologies, such as microarrays and high throughput sequencing,have expanded the realm of possibilities for capturing data and analyzing it using automatedcomputer driven bioinformatics tools. With the completion of the sequencing of genomes ofhuman and several model organisms, a quest for scientific discoveries being fueled byintegrative and multidimensional techniques in mathematics and computational sciences. Inthis volume, leading researchers and experts have provided an overview of significantconcepts from biological, mathematical, and computational perspectives. It provides a high level view of fungal genomic data integration and annotation, classification of proteins and identification of vaccine targets, identification of secretome or secreted proteins in fungal genomes, as well as tools for analyzing microarray expressionprofiles.

  • Clinical Decision Support

    The Road Ahead
    • 1st Edition
    • Robert Greenes
    • English
    This book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete coverage of computational approaches to clinical decision-making. Chapters discuss data integration into healthcare information systems and delivery to point of care for providers, as well as facilitation of direct to consumer access. A case study section highlights critical lessons learned, while another portion of the work examines biostatistical methods including data mining, predictive modelling, and analysis. This book additionally addresses organizational, technical, and business challenges in order to successfully implement a computer-aided decision-making support system in healthcare delivery.

  • Emergent Collective Properties, Networks and Information in Biology

    • 1st Edition
    • Volume 40
    • J. Ricard
    • English
    The concept of network as a mathematical description of a set of states, or events, linked according to a certain topology has been developed recently and has led to a novel approach of real world. This approach is no doubt important in the field of biology. In fact biological systems can be considered networks. Thus, for instance, an enzyme-catalysed reaction is a network that links, according to a certain topology, the various states of the protein and of its complexes with the substrates and products of the chemical reaction. Connections between neurons, social relations in animal and human populations are also examples of networks. Hence there is little doubt that the concept of network transgresses the boundaries between traditional scientific disciplines. This book is aimed at discussing in physical terms these exciting new topics on simple protein model lattices, supramolecular protein edifices, multienzyme and gene networks.

  • Handbook of Evaluation Methods for Health Informatics

    • 1st Edition
    • Jytte Brender McNair
    • English
    The Handbook of Evaluation Methods for Health Informatics provides a complete compendium of methods for evaluation of IT-based systems and solutions within healthcare. Emphasis is entirely on assessment of the IT-system within its organizational environment. The author provides a coherent and complete assessment of methods addressing interactions with and effects of technology at the organizational, psychological, and social levels. It offers an explanation of the terminology and theoretical foundations underlying the methodological analysis presented here. The author carefully guides the reader through the process of identifying relevant methods corresponding to specific information needs and conditions for carrying out the evaluation study. The Handbook takes a critical view by focusing on assumptions for application, tacit built-in perspectives of the methods as well as their perils and pitfalls.