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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. Brings a historical perspective in medical care to discuss both the current status of health care delivery worldwide and the importance of using modern predictive analytics to help solve the health care crisis Provides online tutorials on several predictive analytics systems to help readers apply their knowledge on today's medical issues and basic research Teaches how to develop effective predictive analytic research and to create decisioning/prescriptive analytic systems to make medical decisions quicker and more accurate

?Artificial intelligence, Big data, Blockchain and 5G for Digital Transformation of Healthcare Industry provides insights on the successes and failures in the field of IT and digital health during the pandemic and analyzes the lessons from these cases. The social and economic recovery after the pandemic requires urgent solutions for citizens, companies and economies around the world. From research centers, labs, hospitals and academia, researchers and academics are working collaboratively to explore new views and frameworks to develop solutions for emergent problems. Artificial intelligence, Big data, blockchain and 5G for digital transformation of healthcare industry includes cases highlighting the application of digital healthcare solutions from around the world. In 23 Chapters this book delivers a collection of relevant innovative research on digital healthcare, with a three mains goals: 1) study the successes and failures in the field of IT and digital health during the pandemic, and analyze the lessons from these cases; 2) discuss the latest advances in the field of digital healthcare, with a special focus on Artificial Intelligence, Big Data, Blockchain and 5G; and 3) discuss implications for main stakeholders (patients, doctors, IT experts, directors, policy managers. The global outbreak caused by covid-19 caused global disruption in societies, healthcare systems, and economies around the world. This book provides insight to Researchers, clinicians, CEOs and policy makers who need to learn from the failures and successes and exploit the potential of advanced information technologies to build stronger healthcare systems, better quality healthcare services, and more resilient societies. Delivers a collection of relevant innovative research on digital healthcareDiscusses the latest advances in the field of digital healthcare, with a special focus on Artificial Intelligence, Big Data, Blockchain, and 5GProvides current lessons learned from the pandemicIncludes case studies and experiences from around the world, including Asia, Europe, Gulf Region, Latin America, the United States, and more

Biochemistry of Drug Metabolizing Enzymes: Trends and Challenges is a complete and well-integrated reference on their mechanisms of action, their role in diseases, agents responsible for their deactivation, and their malfunction. Chapters explain the biochemistry of DMEs, including biochemical activation, functions, computational approaches, different contaminants on the action and function of DMEs, and describe the importance of DMEs in the drug development process. Conditions covered include metabolic diseases, cardiovascular diseases, neurological diseases, physiological diseases, xenobiotics and inflammatory responses, and their contribution in the malfunctioning of drug metabolizing enzymes. This book is the perfect resource for pharmacology and biochemistry researchers to understand the principles of DMEs. Researchers in the corporate environment will also benefit from the comprehensive list of diseases associated with malfunction of DMEs. - Includes extensive classification of DMEs, their mechanism of action and computational analysis - Covers the biotransformation of drug by DMEs and the possible impact of environmental contaminants - Discusses the activity of DMEs in different clinical conditions such as cardiovascular disease, metabolic disorders, inflammation and neurotoxicity - Includes modern and novel bioanalytical techniques to predict the effect of DMEs

Genomics in Biosecurity: Principles and Applications of Genomic Technologies in Expanded Biosecurity Concepts, in the Translational and Applied Genomics series, explains in definite and practical terms the applicability of genomic technologies in every aspect of biosecurity, from emergent diagnostics to bioterrorism, agroterrorism, next generation biowarfare, biosurveillance and risk assessment. This book offers an integrated discussion of genomics and GCBR (global catastrophic biological risks) events, considering both basic aspects of biosecurity genomics and application of genomic technologies to drive new solutions. Readers will find evidence-based strategies to apply genomics in disease and pathogen monitoring and diagnosis, and more. Social aspects of GCBR events and genomic biosecurity, such as issues of terrorism, policy ethics, and practice, are also considered in-depth. - Examines the use of genomics in pathogen monitoring and diagnosis, biosurveillance, and countermeasures for spontaneous and perpetrated events - Discusses social, ethical, and policy aspects of GCBR events and the use of genomic technologies in biosecurity - Empowers new solutions in biorestoration, biocrime, counterbioterrorism, disaster management, and humanitarian crisis response - Features chapter contributions from a range of international specialists

Biopharmaceutics and Pharmacokinetics Considerations examines the history of biopharmaceutics and pharmacokinetics. The book provides a biopharmaceutics and pharmacokinetics approach to addressing issues in formulation development and ethical considerations in handling animals. Written by experts in the field, this volume within the Advances in Pharmaceutical Product Development and Research series deepens understanding of biopharmaceutics and pharmacokinetics within drug discovery and drug development. Each chapter delves into a particular aspect of this fundamental field to cover the principles, methodologies and technologies employed by pharmaceutical scientists, researchers and pharmaceutical industries to study the chemical and physical properties of drugs and the biological effects they produce. - Examines the most recent developments in biopharmaceutics and pharmacokinetics for pharmaceutical sciences - Covers the principles, methodologies and technologies of biopharmaceutics and pharmacokinetics - Focuses on the pharmaceutical sciences, but also encompasses aspects of toxicology, neuroscience, environmental sciences and nanotechnology

Microbiomics: Dimensions, Applications, and Translational Implications of Human and Environmental Microbiome Research describes a new, holistic approach to microbiomics. International experts provide in-depth discussion of current research methods for studying human, environmental, viral and fungal microbiomes, as well as the implications of new discoveries for human health, nutrition, disease, cancer research, probiotics and in the food and agricultural industries. Distinct chapters covering culturomics and sub-microbiomes, such as the viriome and mycetobiome, provide an integrative framework for the expansion of microbiomics into new areas of application, as well as crosspollination between research areas. Detailed case studies include the use of microbiomics to develop natural products with antimicrobial properties, microbiomic enhancements in food and beverage technology, microbes for bioprotection and biopreservation, microbial tools to reduce antibiotic resistance, and maintenance and cultivation of human microbial communities. - Provides an integrated approach for realizing the potential of microbiomics across the life, environmental, food and agricultural sciences - Includes thorough analysis of human, environmental, viral and mycetol microbiomes, as well as methods and technology for identifying microbiotes - Features chapter contributions from international leaders in microbiomic methods, technology and applications

Human Genome Informatics: Translating Genes into Health examines the most commonly used electronic tools for translating genomic information into clinically meaningful formats. By analyzing and comparing interpretation methods of whole genome data, the book discusses the possibilities of their application in genomic and translational medicine. Topics such as electronic decision-making tools, translation algorithms, interpretation and translation of whole genome data for rare diseases are thoroughly explored. In addition, discussions of current human genome databases and the possibilities of big data in genomic medicine are presented. With an updated approach on recent techniques and current human genomic databases, the book is a valuable source for students and researchers in genome and medical informatics. It is also ideal for workers in the bioinformatics industry who are interested in recent developments in the field. - Provides an overview of the most commonly used electronic tools to translate genomic information - Brings an update on the existing human genomic databases that directly impact genome interpretation - Summarizes and comparatively analyzes interpretation methods of whole genome data and their application in genomic medicine

Originally thought to be available only to the world's wealthiest nations, genomic medicine has developed into a broad range of clinical methods and technologies whose concrete applications are also revolutionizing health systems in many of the world's resource-limited nations. Genomic Medicine in Emerging Economies: Genomics for Every Nation provides in-depth analysis and key examples of the implementation of medical genomics in low-income nations across the globe, demonstrating how this advancing medical science has already transformed health systems and led to improved patient care in Indonesian, Chilean, Malaysian, Argentinian, Chinese, Sri Lankan, and Colombian populations among others. In addition to defining tools, diagnostics, and treatment pathways at the population-wide level for medical geneticists, genomic researchers, and public health workers to apply in their own work, this book offers an essential, case-study based approach needed to understand how genomic medicine can be used to improve disease-management in a diverse range of economic and social contexts. - Examines essential concepts and protocols, and economic, social and legal considerations related to the implementation of genomic medicine in resource-limited nations - Features concrete success stories of the implementation of medical genomics in Indonesian, Nepalese, Chilean, Malaysian, Tanzanian, Argentinian, Chinese, Sri Lankan and Columbian populations, amongst others - Provides tools, diagnostics and treatment pathways for medical geneticists, genomic researchers and public health workers to apply in their own work - Establishes clear precedents on how genomic technologies can be accessed by nations with limited means and financial support for healthcare

The Health of Populations: Beyond Medicine uses current research and in-depth analysis to provide insights into the issues and challenges of population health; a subject of increasing concern, due largely to rapid population growth, population aging, rising costs and diminishing resources, health inequality, and the global rise in noncommunicable diseases. Reducing the global burden of disease requires prevention of disease incidence, which is achievable through reduction of exposure to primary (behavioral) and secondary (biomedical) risk factors. The 15 chapters of the book are divided into three sections that focus on the science of health, the harm of medicine, and how to achieve optimal health. By highlighting the benefits of preventing incidence of disease, this book illustrates how biomedicine needs to be repositioned form being the dominant approach in healthcare to being an adjunct to behavioral, legislative, social, and other preventive means for optimizing population health. - Heavily evidence-based and thoroughly referenced with hundreds of scientific citations - Contains a glossary, as well as valuable tables, illustrations, and information boxes to further explain core content - Provides fresh perspectives on issues related to rapid population growth, population aging, rising costs, diminishing resources, health inequality, and more - Carefully distils extensive tracts of information, clarifies misunderstandings, and rebuts myths with the ultimate goal of encouraging better understanding of the action needed to promote optimal health for all

Economic Evaluation in Genomic Medicine introduces health economics and economic evaluation to genomic clinicians and researchers, while also introducing the topic to health economists. Each chapter includes an executive summary, questions, and case studies, along with supplementary online materials, including process guides, maps, flow charts, diagrams, and economic evaluation spreadsheets to enhance the learning process. The text can easily be used as course material for related graduate and undergraduate courses, providing a succinct overview of the existing, state-of-the-art application of economic evaluation to genomic healthcare and precision medicine. - Interrelates economic evaluation and genomic medicine - Instructs healthcare professionals and bioscientists about economic evaluation in genomic medicine - Teaches health economists about application of economic evaluation in genomic medicine - Introduces health economics and economic evaluation to clinicians and researchers involved in genomics - Includes process guides, maps, flow charts and diagrams

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. - Includes models and applications of predictive analytics why they are important and how they can be used in healthcare and medical research - Provides real world step-by-step tutorials to help beginners understand how the predictive analytic processes works and to successfully do the computations - Demonstrates methods to help sort through data to make better observations and allow you to make better predictions

Molecular Diagnostics, Third Edition, focuses on the technologies and applications that professionals need to work in, develop, and manage a clinical diagnostic laboratory. Each chapter contains an expert introduction to each subject that is next to technical details and many applications for molecular genetic testing that can be found in comprehensive reference lists at the end of each chapter. Contents are divided into three parts, technologies, application of those technologies, and related issues. The first part is dedicated to the battery of the most widely used molecular pathology techniques. New chapters have been added, including the various new technologies involved in next-generation sequencing (mutation detection, gene expression, etc.), mass spectrometry, and protein-specific methodologies. All revised chapters have been completely updated, to include not only technology innovations, but also novel diagnostic applications. As with previous editions, each of the chapters in this section includes a brief description of the technique followed by examples from the area of expertise from the selected contributor. The second part of the book attempts to integrate previously analyzed technologies into the different aspects of molecular diagnostics, such as identification of genetically modified organisms, stem cells, pharmacogenomics, modern forensic science, molecular microbiology, and genetic diagnosis. Part three focuses on various everyday issues in a diagnostic laboratory, from genetic counseling and related ethical and psychological issues, to safety and quality management. - Presents a comprehensive account of all new technologies and applications used in clinical diagnostic laboratories - Explores a wide range of molecular-based tests that are available to assess DNA variation and changes in gene expression - Offers clear translational presentations by the top molecular pathologists, clinical chemists, and molecular geneticists in the field