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Limitations of angiography, the traditional invasive method for assessing vascular pathology, have led to an interest in alternative invasive techniques that visualize the arterial wall and allow characterization of plaque type. These alternative techniques, which include intravascular ultrasound, angioscopy, thermography, optical coherence tomography, near infrared spectroscopy, and intravascular magnetic resonance imaging are able to provide valuable information regarding plaque vulnerability, the composition of plaque, and luminal morphology. Intravascular Imaging: Current Applications and Research Developments presents all available intravascular imaging techniques and analyzes their impact in clinical practice and research. This publication aims to inform medical specialists, biomedical engineers, bioinfomaticians, and researchers of current developments and future trends in intravascular imaging techniques, promoting continued evolution of this discipline.
Advancements in digital technology continue to expand the image science field through the tools and techniques utilized to process two-dimensional images and videos. Image Processing: Concepts, Methodologies, Tools, and Applications presents a collection of research on this multidisciplinary field and the operation of multi-dimensional signals with systems that range from simple digital circuits to computers. This reference source is essential for researchers, academics, and students in the computer science, computer vision, and electrical engineering fields.
As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.
Neuroprosthetics is a fast-growing area that brings together the fields of biomedical engineering and neuroscience as a means to interface the neural system directly to prostheses. Advancing research and applications in this field can assist in successfully restoring motor, sensory, and cognitive functions. Emerging Theory and Practice in Neuroprosthetics brings together the most up-to-date research surrounding neuroprosthetics advances and applications. Presenting several new results, concepts, and further developments in the area of neuroprosthetics, this book is an essential publication for researchers, upper-level students, engineers, and medical practitioners.
This book provides comprehensive analysis into individualized patient care, and applying evidence‐based medicine while integrating basic medical knowledge with applied medicine. The Editor and the contributors not only discuss important issues on hypertension management and its deleterious consequences if it is not well‐controlled, but also highlight the important signaling pathways involved in the pathogenesis of hypertensive heart disease and cardiac hypertrophy.
This book is a valuable tool to assist both cardiovascular physicians and scientists learning the intricacies of hypertension research and its milestone studies. All major hypertension trials have been reviewed in this book in chronological order with extensive discussion of the study population, study design, and outcomes and with a special focus on what knowledge they offered, their strengths and weaknesses, statistical errors, impact on international guidelines and unmet needs. Importantly, the book also offers physicians and young scientists with basic knowledge regarding medical biostatistics. It is of critical importance for a scientist involved in the field to understand deeply the pr...
Medical Data Sharing, Harmonization and Analytics serves as the basis for understanding the rapidly evolving field of medical data harmonization combined with the latest cloud infrastructures for storing the harmonized (shared) data. Chapters cover the latest research and applications on data sharing and protection in the medical domain, cohort integration through the recent advancements in data harmonization, cloud computing for storing and securing the patient data, and data analytics for effectively processing the harmonized data. - Examines the unmet needs in chronic diseases as a part of medical data sharing - Discusses ethical, legal and privacy issues as part of data protection - Combines data harmonization and big data analytics strategies in shared medical data, along with relevant case studies in chronic diseases
Personalized Predictive Modeling in Diabetes features state-of-the-art methodologies and algorithmic approaches which have been applied to predictive modeling of glucose concentration, ranging from simple autoregressive models of the CGM time series to multivariate nonlinear regression techniques of machine learning. Developments in the field have been analyzed with respect to: (i) feature set (univariate or multivariate), (ii) regression technique (linear or non-linear), (iii) learning mechanism (batch or sequential), (iv) development and testing procedure and (v) scaling properties. In addition, simulation models of meal-derived glucose absorption and insulin dynamics and kinetics are cove...
These 27 articles on the economics of exhaustible resources date from 1931 to 1991.