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.

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.

Translating Epigenetics to the Clinic reviews current methodological tools and experimental approaches used by leading translational researchers seeking to use epigenetics as a clinical model. It organizes epigenetics into disease treatment areas with a major focus on oncology, and with much coverage of pervasive treatment categories such as diabetes, as well as the 'diseases of modernity'-including pharmacological addiction, dementia, and ageing. Pedagogically, the work concentrates on the latest knowledge, laboratory techniques, and experimental approaches used by translational research leaders in this field. The book promotes cross-disciplinary communication between the sub-specialties of medicine. In common with the rest of the books in Translational Medicine, the book remains unified in theme by emphasizing recent innovations, critical barriers to progress, and the new tools being used to overcome them. Also includes specific areas of research that require additional study to advance the field as a whole.

Experimental Methods in Orthopaedic Biomechanics is the first book in the field that focuses on the practicalities of performing a large variety of in-vitro laboratory experiments. Explanations are thorough, informative, and feature standard lab equipment to enable biomedical engineers to advance from a 'trial and error' approach to an efficient system recommended by experienced leaders. This is an ideal tool for biomedical engineers or biomechanics professors in their teaching, as well as for those studying and carrying out lab assignments and projects in the field. The experienced authors have established a standard that researchers can test against in order to explain the strengths and weaknesses of testing approaches.

Nanofiber Composite Materials for Biomedical Applications presents new developments and recent advances in nanofiber-reinforced composite materials and their use in biomedical applications, including biomaterial developments, drug delivery, tissue engineering, and regenerative medicine. Unlike more conventional titles on composite materials, this book covers the most innovative new developments in nanofiber-based composites, including polymers, ceramics, and metals, with particular emphasis on their preparation and characterization methodology. Selected case studies illustrate new developments in clinical and preclinical use, making the information critical for the development of new medical materials and systems for use in human health care, and for the exploration of new design spaces based on these nanofibers. This book is essential reading for those working in biomedical science and engineering, materials science, nanoscience, biomedical nanotechnology, and biotechnology.

Aircraft maintenance, repair and overhaul (MRO) requires unique information technology to meet the challenges set by today's aviation industry. How do IT services relate to aircraft MRO, and how may IT be leveraged in the future? Leveraging Information Technology for Optimal Aircraft Maintenance, Repair and Overhaul (MRO) responds to these questions, and describes the background of current trends in the industry, where airlines are tending to retain aircraft longer on the one hand, and rapidly introducing new genres of aircraft such as the A380 and B787, on the other. This book provides industry professionals and students of aviation MRO with the necessary principles, approaches and tools to respond effectively and efficiently to the constant development of new technologies, both in general and within the aviation MRO profession. This book is designed as a primer on IT services for aircraft engineering professionals and a handbook for IT professionals servicing this niche industry, highlighting the unique information requirements for aviation MRO and delving into detailed aspects of information needs from within the industry.

The textile industry is increasingly based on ongoing innovation and development of higher performance products, and the field of functional textiles is no exception. This book explores the development of textiles with a wide range of functions, with the aim of improving the performance of the product in terms of the protection and health benefits that it can offer. The book is split into two parts. Part one focuses on functional textiles for improved performance and protection, with chapters reviewing antistatic, flame retardant and infrared functional textiles, among many others. Chapters in part two examine the uses of functional textiles in a medical context, including superhydrophobic materials, antibacterial textiles and insect-repellent materials. With its distinguished editors and contributions from some of the world's leading authorities, Functional textiles for improved performance, protection and health is invaluable for textile scientists, technologists and engineers as well as those designing and manufacturing textiles. It is also a suitable reference for the academic sector.

Biostatistics Manual for Health Research: A Practical Guide to Data Analysis is a guide for researchers on how to apply biostatistics on different types of data. The book approaches biostatistics and its application from medical and health researcher's point-of-view and has real and mostly published data for practice and understanding. The interpretation and meaning of the statistical results, reporting guidelines and mistakes are taught with real world examples. This is a valuable resource for biostaticians, students and researchers from medical and biomedical fields who need to learn how to apply statistical approaches to improve their research.

Hyperpolarized and Inert Gas MRI: Theory and Applications in Research and Medicine is the first comprehensive volume published on HP gas MRI. Since the 1990's, when HP gas MRI was invented by Dr. Albert and his colleagues, the HP gas MRI field has grown dramatically. The technique has proven to be a useful tool for diagnosis, disease staging, and therapy evaluation for obstructive lung diseases, including asthma, chronic obstructive pulmonary disease (COPD), and cystic fibrosis. HP gas MRI has also been developed for functional imaging of the brain and is presently being developed for molecular imaging, including molecules associated with lung cancer, breast cancer, and Alzheimer's disease. Taking into account the ongoing growth of this field and the potential for future clinical applications, the book pulls together the most relevant and cutting-edge research available in HP gas MRI into one resource.

This reference, written by leading authorities in the field, gives basic theory, implementation details, advanced research, and applications of RF and microwave in healthcare and biosensing. It first provides a solid understanding of the fundamentals with coverage of the basics of microwave engineering and the interaction between electromagnetic waves and biomaterials. It then presents the state-of-the-art development in microwave biosensing, implantable devices -including applications of microwave technology for sensing biological tissues - and medical diagnosis, along with applications involving remote patient monitoring. this book is an ideal reference for RF and microwave engineer working on, or thinking of working on, the applications of RF and Microwave technology in medicine and biology. Learn: The fundamentals of RF and microwave engineering in healthcare and biosensing How to combine biological and medical aspects of the field with underlying engineering concepts How to implement microwave biosensing for material characterization and cancer diagnosis Applications and functioning of wireless implantable biomedical devices and microwave non-contact biomedical radars How to combine devices, systems, and methods for new practical applications

The Internet serves as an essential tool in promoting health awareness through the circulation of important research among the medical professional community. While digital tools and technologies have greatly improved healthcare, challenges are still prevalent among diverse populations worldwide. The Handbook of Research on Advancing Health Education through Technology presents a comprehensive discussion of health knowledge equity and the importance of the digital age in providing life-saving data for diagnosis and treatment of diverse populations with limited resources. Featuring timely, research-based chapters across a broad spectrum of topic areas including, but not limited to, online health information resources, data management and analysis, and knowledge accessibility, this publication is an essential reference source for researchers, academicians, medical professionals, and upper level students interested in the advancement and dissemination of medical knowledge.

Sudden Cardiac Death (SCD) is a sudden, unexpected death caused by loss of heart function (sudden cardiac arrest) and Sudden Cardiac Arrest (SCA) occurs when the electrical system to the heart malfunctions and suddenly becomes very irregular. Death can often be a result if not handled quick enough or effectively. New technologies seek to help with this issue. Data processing is a crucial step to developing prognostic models. Some of the challenges in data processing are non-linear prediction models, a large number of patients and numerous predictors with complicated correlations. In traditional hypothesis-driven statistical analysis it is difficult to overcome these challenges. Current approaches to predict cardiovascular risk fail to identify many people who would benefit from preventive treatment, while others receive unnecessary intervention. So, there is an emergent need of an adaptation of AI technologies such as Machine Learning and Deep Learning Techniques to overcome the challenges. The Machine Learning (ML) approaches have great potential in increasing the accuracy of cardiovascular risk prediction and to avoid unnecessary treatment. The application of ML techniques may have the potential to improve Heart Failure outcomes and management, including cost savings by improving existing diagnostic and treatment support systems. Moreover, ML algorithms can also be applied to predict SCD. Also, Machine Learning offers an opportunity to improve accuracy by exploiting complex interactions between risk factors. The book addresses the impact and power of technology driven approaches for prevention and detection of SCA and SCD. It will provide insights on causes and symptoms of SCA and SCD and evaluate whether AI Technologies can improve the accuracy of cardiovascular risk prediction. It will explore the current issues and future technology driven solutions for SCA and SCD prevention and detection.