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.

Computational Methods in Drug Discovery and Repurposing for Cancer Therapy provides knowledge about ongoing research and computational approaches for drug discovery and repurposing for cancer therapy. The book provides detailed descriptions about target molecules and pathways and their inhibitors for easy understanding and applicability. Users will find discussions on tools and techniques such as integrated bioinformatics approaches, systems biology tools, molecular docking, computational chemistry, artificial intelligence, machine learning, structure-based virtual screening, biomarkers and transcriptome which are discussed in the context of different cancer types, such as colon, glioblastoma, endometrial and retinoblastoma, amongst others. This book will be a valuable resource for researchers, students and member of the biomedical and medical fields who want to learn more about the use of computational modeling to better tailor treatments for cancer patients.

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.

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.

Liquid Biopsy: New Challenges in the era of Immunotherapy and Precision Oncology aims to describe links between cancer, precision oncology, and liquid biopsy, focusing on their participation to immunotherapy management. The book provides updated information on the main applications of liquid biopsy and immunotherapy as well as interesting aspects useful for planning basic and translational research activities. It helps readers understand the central aspects of precision medicine in oncology, including the use of new generation technologies for translational and diagnostic settings and the main clinical trials in this area that may be useful during their research. The book is a valuable source for cancer researchers, oncologists and other members of the medical and biomedical field who are interested in learning more about recent developments in liquid biopsy and its relationship with precision medicine and immunotherapy.

Advances in Cancer Research, Volume 138, the latest release in this ongoing, well-regarded serial provides invaluable information on the exciting and fast-moving field of cancer research. This volume presents original reviews on research bridging oncology and gene expression, with this volume covering unconventional approaches to modulating the immunogenicity of tumor cells, tumor dormancy and immunoediting, the emerging role of anti-apoptotic Bcl-2 family proteins in chemoresistance, Beclin-1 and autophagy, MDA-7/IL-24, and nanotechnology and medicine.

Computational Modeling of Infectious Diseases: With Applications in Python provides an illustrated compendium of tools and tactics for analyzing infectious diseases using cutting-edge computational methods. From simple S(E)IR models, and through time series analysis and geospatial models, this book is both a guided tour through the computational analysis of infectious diseases and a quick-reference manual. Chapters are accompanied by extensive practical examples in Python, illustrating applications from start to finish. This book is designed for researchers and practicing infectious disease forecasters, modelers, data scientists, and those who wish to learn more about analysis of infectious disease processes in the real world.

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.

In this issue of Clinics in Laboratory Medicine, guest editor Dr. Fei Dong brings his considerable expertise to the topic of Molecular Oncology Diagnostics. Top experts in the field review current practices in molecular oncology diagnostics, highlighting the rapid clinical adoption of next generation sequencing techniques. The articles address key laboratory considerations in the molecular testing of cancer specimens and the impact of advanced testing strategies on patient care. Contains 15 practice-oriented topics including utility of single gene testing in cancer specimens; analytical principles of cancer next generation sequencing; principles and validation of bioinformatics pipelines for cancer next generation sequencing; panel sequencing for targeted therapy selection in solid tumors; and more. Provides in-depth clinical reviews on molecular oncology diagnostics, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

Posttraumatic Epilepsy: Basic and Clinical Aspects provides a synthesized resource on the recent basic and clinical science developments in the field of posttraumatic epilepsy. This book provides a clear understanding of the history of studies and epidemiology of posttraumatic epilepsy after head injury. The book also considers the neuropathology of posttraumatic epilepsy and clinical trials of antiepileptogenic agents evaluated after traumatic brain injury. The book covers the basic science of animal models of traumatic brain injury and the necessary and sufficient changes that must occur to generate epilepsy after head trauma. The authors explore potential mechanisms and novel therapeutic approaches to prevent posttraumatic epilepsy. The book is written for basic and clinical researchers in neuroscience as well as for clinicians treating patients with epilepsy.

Advances in Molecular Pathology reviews the year's most important findings and updates within the field in order to provide molecular pathologists with the current clinical information they need to improve patient outcomes. A distinguished editorial board, led by Dr. Gregory Tsongalis, identifies key areas of major progress and controversy and invites preeminent specialists to contribute original articles devoted to these topics. These insightful overviews in molecular pathology inform and enhance clinical practice by bringing concepts to a clinical level and exploring their everyday impact on patient care. Provides in-depth, clinical reviews in molecular pathology, providing actionable insights for clinical practice. Presents the latest information in the field under the leadership of an experienced editorial team. Authors synthesize and distill the latest research and practice guidelines to create these timely topic-based reviews.

Clinical and Translational Science: Principles of Human Research, Second Edition, is the most authoritative and timely resource for the broad range of investigators taking on the challenge of clinical and translational science, a field that is devoted to investigating human health and disease, interventions, and outcomes for the purposes of developing new treatment approaches, devices, and modalities to improve health. This updated second edition has been prepared with an international perspective, beginning with fundamental principles, experimental design, epidemiology, traditional and new biostatistical approaches, and investigative tools. It presents complete instruction and guidance from fundamental principles, approaches, and infrastructure, especially for human genetics and genomics, human pharmacology, research in special populations, the societal context of human research, and the future of human research. The book moves on to discuss legal, social, and ethical issues, and concludes with a discussion of future prospects, providing readers with a comprehensive view of this rapidly developing area of science.