Digital technologies are currently dramatically changing healthcare. Cloud healthcare is an increasingly trending topic in the field, converging skills from computer and health science. This new strategy fosters the management of health data at a large scale and makes it easier for healthcare organizations to improve patient experience and health team productivity while helping the support, security, compliance, and interoperability of health data. Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare is a reference in the ongoing digital transformation of the healthcare sector. It presents a comprehensive state-of-the-art approach to cloud internet of things health technologies and practices. It provides insights over strategies, methodologies, techniques, tools, and services based on emerging cloud digital health solutions to overcome digital health challenges. Covering topics such as auxiliary systems, the internet of medical things, and natural language processing, this premier reference source is an essential resource for medical professionals, hospital administrators, medical students, medical professors, libraries, researchers, and academicians.

Quality Assurance Management: A Comprehensive Overview of Real-World Applications for High Risk Specialties demonstrates how to best design and implement standard operating procedures (SOPs) to ensure protocol and regulation adherence. The book showcases similarities and differences between healthcare and academic quality assurance systems, resulting in counter-productivity and performance issues, in addition to regulatory inspection preparedness. It uses the processes and standards of the UK to demonstrate how to combine QA and research building into ‘building blocks’ that share a common pathway for effective project design, analysis and unbiased interpretation of collated data.This book fills a gap, providing original research in QA that especially focuses on specialist areas. It will be of use to research and clinical staff working in clinical research within healthcare, academia and industry.

Self-assessment Q&A in Clinical Laboratory Science, III, adds a variety of subject matter that addresses new concepts and emerging technology, particularly in the areas of kidney biomarkers, cancer biomarkers, molecular diagnostics, multiple myeloma, pharmacogenomics, novel cardiovascular biomarkers and biomarkers of neurologic diseases. The field of Clinical Laboratory Science continues to evolve and editor Alan Wu has once again brought together experts in the field to cover the contemporary topics that are being tested today. This updated bank of questions and answers is a must-have to sharpen knowledge and skills.

Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences, business and law, expertly written by the world's leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas. Providing a comprehensive overview of the current and future uses of Artificial Intelligence (AI) in healthcare, this Advanced Introduction discusses the issues surrounding the implementation, governance, impacts and risks of utilising AI in health organizations Key Features: Advises healthcare executives on how to effectively leverage AI to advance their strategies and plans and support digital transformation Discusses AI governance, change management, workforce management and the organization of AI experimentation and implementation Analyzes AI technologies in healthcare and their impacts on patient care, medical devices, pharmaceuticals, population health, and healthcare operations Provides risk mitigation approaches to address potential AI algorithm problems, liability and regulation Essential reading for policymakers, clinical executives and consultants in healthcare, this Advanced Introduction explores how to successfully integrate AI into healthcare organizations and will also prove invaluable to students and scholars interested in technological innovations in healthcare.

Computational Intelligence and Its Applications in Healthcare presents rapidly growing applications of computational intelligence for healthcare systems, including intelligent synthetic characters, man-machine interface, menu generators, user acceptance analysis, pictures archiving, and communication systems. Computational intelligence is the study of the design of intelligent agents, which are systems that act intelligently: they do what they think are appropriate for their circumstances and goals; they're flexible to changing environments and goals; they learn from experience; and they make appropriate choices given perceptual limitations and finite computation. Computational intelligence paradigms offer many advantages in maintaining and enhancing the field of healthcare.

Virtual Reality (VR) is the use of computer technology to construct an environment that is simulated. VR places the user inside and in the center of the experience, unlike conventional user interfaces. Users are immersed and able to connect with 3D environments instead of seeing a screen in front of them. The computer has to role to provide the experiences of the user in this artificial environment by simulating as many senses as possible, such as sight, hearing, touch and smell. In Augmented Reality (AR) we have an enhanced version of the real physical world that is achieved through the use of digital visual elements, sound, or other sensory stimuli delivered via technology. It can be seen as VR imposed into real life. In both VR and AR the experience is composed of a virtual or extended world, an immersion technology, sensory feedback and interactivity. These elements use a multitude of technologies that must work together and presented to the user seamlessly integrated and synchronized. This book is dedicated to applications, new technologies and emerging trends in the fields of virtual reality and augmented reality in healthcare. It is intended to cover technical areas as well as areas of applied intervention. It is expected to cover hardware and software technologies while encompassing all components of the virtual experience. The main goal of this book is to show how to put Virtual Reality in action by linking academic and informatics researchers with professionals who use and need VR in their day-a-day work, with a special focus on healthcare professionals and related areas. The idea is to disseminate and exchange the knowledge, information and technology provided by the international communities in the area of VR, AR and XR throughout the 21st century. Another important goal is to synthesize all the trends, best practices, methodologies, languages and tools which are used to implement VR. In order to shape the future of VR, new paradigms and technologies should be discussed, not forgetting aspects related to regulation and certification of VR technologies, especially in the healthcare area. These last topics are crucial for the standardization of VR. This book will present important achievements and will show how to use VR technologies in a full range of settings able to provide decision support anywhere and anytime using this new approach.

Resistance to Anti-CD20 Antibodies and Approaches for Their Reversal presents in-depth content written by international experts in the study of resistance to anti-CD20 antibodies and approaches for their reversal. Anti-CD20 antibodies are used to achieve B cell depletion and are developed to treat B cell proliferative disorders, including non-Hodgkin’s lymphoma and chronic lymphocytic leukemia. In the past two decades, anti-CD20 antibodies have revolutionized the treatment of all B cell malignancies, however, there are patients that fail to respond to initial therapy or relapse sooner. This book explores new and existing avenues surrounding Anti-CD20 antibodies. In recent years, several next-generation anti-CD20 therapies have been developed but predicting and reversing resistance is still a challenging task. These areas are being actively studied as they represent a potential to improve anti-CD20 therapies and are discussed thoroughly in the book. It is a valuable resource for researchers, students and member of the biomedical and medical fields who want to learn more about resistance to anti-CD20 antibodies and their reversal.

There is by now no question among informed people that the Earth is undergoing severe climate change - soon to become catastrophic, if humans don't take drastic measures to stop it. Heroically into the fray steps the biofuel industry, announcing to millions of anxious consumers that this eco-crisis can be averted if only they turn away from fossil fuels, to the saving power of synthetic bioproducts. But, although eliminating fossil fuels is essential, the manufacture of biofuels has far more to do with sating profit-hungry corporations than with saving the Earth. Combining meticulous scientific narrative with devastating economic analysis, The Biofuels Deception argues that the seemingly innovative, hopeful campaign for "green energy" is actually driven by bio-technology industries and global grain-trading corporations. These corporate players are motivated by a late-capitalist need to cope with a crisis of accumulation; they have no real interest in mitigating climate-change, alleviating poverty, or even creating "clean" energy. In fact, the manufacture of biochemical, bioplastics, and biomaterials, writes Okbazghi Yohannes, portends horrific contradictions and disastrous consequences for nature and society. Actually confronting climate change and the rampant inequality it engenders, Yohannes says, requires two steps. The first is to understand the driving socioeconomic forces behind the biofuels industry. The second is to unravel the tapestry of deceit itself. This book is a necessity for any scholar or environmental activist interested in seeing beyond corporate chimeras to actual environmental solutions.

This book covers most of the topics with latest information on canine cancer in general and canine mammary cancer in particular. The book is divided into 21 chapters covering almost all aspects of canine cancer including its overview, occurrence, etiology, classifications, polymorphism, radiological-immuno-hormonal-sex hormone profiles, enzymatic-genetic-tissue prognostic markers and different modern diagnostic and therapeutic approaches. This book also includes different research findings on canine mammary cancer. The main objective of this book is to provide the latest information to meet the requirements of not only undergraduate and post-graduate students but also to the teachers and clinicians involved in canine practice. The book contains more than 150 good quality colour photographs of canine cancer, cancer diagnosis and cancer treatments. This book would be of immense use to the students, teachers and practitioners engaged in the field of cancer research and treatment.

Clinical Engineering: A Handbook for Clinical and Biomedical Engineers, Second Edition, helps professionals and students in clinical engineering successfully deploy medical technologies. The book provides a broad reference to the core elements of the subject, drawing from a range of experienced authors. In addition to engineering skills, clinical engineers must be able to work with both patients and a range of professional staff, including technicians, clinicians and equipment manufacturers. This book will not only help users keep up-to-date on the fast-moving scientific and medical research in the field, but also help them develop laboratory, design, workshop and management skills. The updated edition features the latest fundamentals of medical technology integration, patient safety, risk assessment and assistive technology.

Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence. Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis, computational ophthalmology, artificial intelligence, biomedical engineering, health informatics, and more.

Data for Nurses: Understanding and Using Data to Optimize Care Delivery in Hospitals and Health Systems provides information for nurses on how to work with data to effectively evaluate and improve care delivery for patients. Quality, benchmarking, and research data are increasingly used to guide care in hospitals and health systems, and nurses are expected to actively use this information to identify interventions to optimize outcomes and meet reporting and financial targets. However, not all nurses receive formal training on data utilization, making interpretation and application of the different types of data difficult. This book provides information on topics such as benchmarking and reportable indicators, financial metrics, quality improvement, research, and implementation science, with applications to nursing practice. Important information on protective measures to guarantee integrity and security of personal patient data is also included. The book is a valuable resource for nurses and other healthcare professionals who require a basic understanding of key principles of data utilization in order to increase engagement in evidence-based practices, quality improvement, and mandatory reporting of key indices.

Advances in Cancer Research, Volume 144, the latest release in this ongoing, well-regarded serial, provides invaluable information on the exciting and fast-moving field of cancer research. Chapters in this new release include Gene-Environment-Microenvironment Interactions in Melanomagenesis, PP2A and the Cell Cycle, Current Progress Defining Calcium Signals as Therapeutic Targets in Cancer Cells, and much more.