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| nature cardiovascular research impact factor prediction: Epicardial Adipose Tissue Gianluca Iacobellis, 2020-03-25 This book is the first authoritative and comprehensive volume dedicated to epicardial adipose tissue (EAT). It provides an up-to-date and highly illustrated synopsis of the anatomical, biomolecular, genetic, imaging features, and clinical applications of EAT and its role in cardiovascular disease. It relays to the reader a contemporary view of the emerging interplay between the heart and adiposity-related diseases. In addition, this volume discusses the clinical implications and therapeutic targets of EAT in atrial fibrillation, heart failure and coronary artery disease. Comprehensive yet focused, Epicardial Adipose Tissue: From Cell to Clinic is an essential resource for physicians, residents, fellows, and medical students in cardiology, endocrinology, primary care, and health promotion and disease prevention. |
| nature cardiovascular research impact factor prediction: Acute Heart Failure Alexandre Mebazaa, Mihai Gheorghiade, Faiez Zannad, Joseph E. Parrillo, 2009-12-24 For many years, there has been a great deal of work done on chronic congestive heart failure while acute heart failure has been considered a difficult to handle and hopeless syndrome. However, in recent years acute heart failure has become a growing area of study and this is the first book to cover extensively the diagnosis and management of this complex condition. The book reflects the considerable amounts of new data reported and many new concepts which have been proposed in the last 3-4 years looking at the epidemiology, diagnostic and treatment of acute heart failure. |
| nature cardiovascular research impact factor prediction: Encyclopedia of Cardiovascular Research and Medicine , 2017-11-27 Encyclopedia of Cardiovascular Research and Medicine, Four Volume Set offers researchers over 200 articles covering every aspect of cardiovascular research and medicine, including fully annotated figures, abundant color illustrations and links to supplementary datasets and references. With contributions from top experts in the field, this book is the most reputable and easily searchable resource of cardiovascular-focused basic and translational content for students, researchers, clinicians and teaching faculty across the biomedical and medical sciences. The panel of authors chosen from an international board of leading scholars renders the text trustworthy, contemporary and representative of the global scientific expertise in these domains. The book's thematic structuring of sections and in-depth breakdown of topics encourages user-friendly, easily searchable chapters. Cross-references to related articles and links to further reading and references will further guide readers to a full understanding of the topics under discussion. Readers will find an unparalleled, one-stop resource exploring all major aspects of cardiovascular research and medicine. Presents comprehensive coverage of every aspect of cardiovascular medicine and research Offers readers a broad, interdisciplinary overview of the concepts in cardiovascular research and medicine with applications across biomedical research Includes reputable, foundational content on genetics, cancer, immunology, cell biology and molecular biology Provides a multi-media enriched color-illustrated text with high quality images, graphs and tables. |
| nature cardiovascular research impact factor prediction: Calcific Aortic Valve Disease Elena Aikawa, 2013-06-12 Due to population aging, calcific aortic valve disease (CAVD) has become the most common heart valve disease in Western countries. No therapies exist to slow this disease progression, and surgical valve replacement is the only effective treatment. Calcific Aortic Valve Disease covers the contemporary understanding of basic valve biology and the mechanisms of CAVD, provides novel insights into the genetics, proteomics, and metabolomics of CAVD, depicts new strategies in heart valve tissue engineering and regenerative medicine, and explores current treatment approaches. As we are on the verge of understanding the mechanisms of CAVD, we hope that this book will enable readers to comprehend our current knowledge and focus on the possibility of preventing disease progression in the future. |
| nature cardiovascular research impact factor prediction: How Tobacco Smoke Causes Disease United States. Public Health Service. Office of the Surgeon General, 2010 This report considers the biological and behavioral mechanisms that may underlie the pathogenicity of tobacco smoke. Many Surgeon General's reports have considered research findings on mechanisms in assessing the biological plausibility of associations observed in epidemiologic studies. Mechanisms of disease are important because they may provide plausibility, which is one of the guideline criteria for assessing evidence on causation. This report specifically reviews the evidence on the potential mechanisms by which smoking causes diseases and considers whether a mechanism is likely to be operative in the production of human disease by tobacco smoke. This evidence is relevant to understanding how smoking causes disease, to identifying those who may be particularly susceptible, and to assessing the potential risks of tobacco products. |
| nature cardiovascular research impact factor prediction: Deep Medicine Eric Topol, 2019-03-12 A Science Friday pick for book of the year, 2019 One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved. |
| nature cardiovascular research impact factor prediction: Improving Diagnosis in Health Care National Academies of Sciences, Engineering, and Medicine, Institute of Medicine, Board on Health Care Services, Committee on Diagnostic Error in Health Care, 2015-12-29 Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety. |
| nature cardiovascular research impact factor prediction: Transforming the Workforce for Children Birth Through Age 8 National Research Council, Institute of Medicine, Board on Children, Youth, and Families, Committee on the Science of Children Birth to Age 8: Deepening and Broadening the Foundation for Success, 2015-07-23 Children are already learning at birth, and they develop and learn at a rapid pace in their early years. This provides a critical foundation for lifelong progress, and the adults who provide for the care and the education of young children bear a great responsibility for their health, development, and learning. Despite the fact that they share the same objective - to nurture young children and secure their future success - the various practitioners who contribute to the care and the education of children from birth through age 8 are not acknowledged as a workforce unified by the common knowledge and competencies needed to do their jobs well. Transforming the Workforce for Children Birth Through Age 8 explores the science of child development, particularly looking at implications for the professionals who work with children. This report examines the current capacities and practices of the workforce, the settings in which they work, the policies and infrastructure that set qualifications and provide professional learning, and the government agencies and other funders who support and oversee these systems. This book then makes recommendations to improve the quality of professional practice and the practice environment for care and education professionals. These detailed recommendations create a blueprint for action that builds on a unifying foundation of child development and early learning, shared knowledge and competencies for care and education professionals, and principles for effective professional learning. Young children thrive and learn best when they have secure, positive relationships with adults who are knowledgeable about how to support their development and learning and are responsive to their individual progress. Transforming the Workforce for Children Birth Through Age 8 offers guidance on system changes to improve the quality of professional practice, specific actions to improve professional learning systems and workforce development, and research to continue to build the knowledge base in ways that will directly advance and inform future actions. The recommendations of this book provide an opportunity to improve the quality of the care and the education that children receive, and ultimately improve outcomes for children. |
| nature cardiovascular research impact factor prediction: Mathematics From the Birth of Numbers Jan Gullberg, 1997-01-07 An illustrated exploration of mathematics and its history, beginning with a study of numbers and their symbols, and continuing with a broad survey that includes consideration of algebra, geometry, hyperbolic functions, fractals, and many other mathematical functions. |
| nature cardiovascular research impact factor prediction: Mechanisms of Angiogenesis Matthias Clauss, Georg Breier, 2004-11-22 Is it advisable to go back from bedside to the bench? During the last decade, few topics encountered such a broad interest in bio- gy and medicine as angiogenesis. The amazing ability of the body to restore blood flow by induction of blood vessel growth as part of an adaptive process has alarmed physicians dealing with diseases in which angiogenesis is either exaggerated (as in tumors) or too slow (as in ischemic diseases of heart and brain). Not surprisingly, pro- and antiangiogenic strategies have found their way into clinical trials. For instance, for the USA, the NIH website in early 2004 displayed 38 clinical studies involving either pro- or antiangiogenic th- apies. Given the expected overwhelming wealth of clinical data, the question may be asked whether further exploration of biological mechanisms is required or whether results from the bedside are instructive enough to proceed. This question depends also on the progress of pro- and antiangiogenic clinical trials. In the following, I give a short overview about some of the progress that has been made in this field. Since Judah Folkman proposed antiangiogenic tumor therapy thirty years ago, it has become increasingly evident that agents which interfere with blood vessel formation also block tumor progression. Accordingly, antiangiogenic therapy has gained much attention as a potential adjunct to conventional c- cer therapy. |
| nature cardiovascular research impact factor prediction: Stroke Genetics Hugh S. Markus, 2003 Stroke is a major cause of death and the major cause of adult neurological disability in most of the world. Despite its importance on a population basis, research into the genetics of stroke has lagged behind that of many other disorders. However, the situation is now changing. An increasing number of single gene disorders causing stroke are being described, and there is growing evidence that polygenic factors are important in the risk of apparently sporadic stroke. Stroke Genetics provides an up-to-date review of the area, suitable for clinicians treating stroke patients, and both clinical and non-clinical researchers in the field of cerebrovascular disease. The full range of monogenic stroke disorders causing cerebrovascular disease, including ischaemic stroke, intracerebral haemorrhage, aneurysms and arteriovenous malformations, are covered. For each, clinical features, diagnosis, and genetics are described. Increasing evidence suggest that genetic factors are also important for the much more common multifactorial stroke; this evidence is reviewed along with the results of genetic studies in this area. Optimal and novel strategies for investigating multifactorial stroke, including the use of intermediate phenotypes such as intima-media thickness and MRI detected small vessel disease are reviewed. The book concludes by describing a practical approach to investigating patients with stroke for underlying genetic disorders. Also included is a list of useful websites. |
| nature cardiovascular research impact factor prediction: Disease Control Priorities, Third Edition (Volume 5) Dorairaj Prabhakaran, Shuchi Anand, Thomas A. Gaziano, Jean-Claude Mbanya, Rachel Nugent, 2017-11-17 Cardiovascular, respiratory, and related conditions cause more than 40 percent of all deaths globally, and their substantial burden is rising, particularly in low- and middle-income countries (LMICs). Their burden extends well beyond health effects to include significant economic and societal consequences. Most of these conditions are related, share risk factors, and have common control measures at the clinical, population, and policy levels. Lives can be extended and improved when these diseases are prevented, detected, and managed. This volume summarizes current knowledge and presents evidence-based interventions that are effective, cost-effective, and scalable in LMICs. |
| nature cardiovascular research impact factor prediction: The Future of the Public's Health in the 21st Century Institute of Medicine, Board on Health Promotion and Disease Prevention, Committee on Assuring the Health of the Public in the 21st Century, 2003-02-01 The anthrax incidents following the 9/11 terrorist attacks put the spotlight on the nation's public health agencies, placing it under an unprecedented scrutiny that added new dimensions to the complex issues considered in this report. The Future of the Public's Health in the 21st Century reaffirms the vision of Healthy People 2010, and outlines a systems approach to assuring the nation's health in practice, research, and policy. This approach focuses on joining the unique resources and perspectives of diverse sectors and entities and challenges these groups to work in a concerted, strategic way to promote and protect the public's health. Focusing on diverse partnerships as the framework for public health, the book discusses: The need for a shift from an individual to a population-based approach in practice, research, policy, and community engagement. The status of the governmental public health infrastructure and what needs to be improved, including its interface with the health care delivery system. The roles nongovernment actors, such as academia, business, local communities and the media can play in creating a healthy nation. Providing an accessible analysis, this book will be important to public health policy-makers and practitioners, business and community leaders, health advocates, educators and journalists. |
| nature cardiovascular research impact factor prediction: Prognosis Research in Healthcare Richard D. Riley, Danielle van der Windt, Peter Croft, Karel G. M. Moons, 2019-01-17 What is going to happen to me? Most patients ask this question during a clinical encounter with a health professional. As well as learning what problem they have (diagnosis) and what needs to be done about it (treatment), patients want to know about their future health and wellbeing (prognosis). Prognosis research can provide answers to this question and satisfy the need for individuals to understand the possible outcomes of their condition, with and without treatment. Central to modern medical practise, the topic of prognosis is the basis of decision making in healthcare and policy development. It translates basic and clinical science into practical care for patients and populations. Prognosis Research in Healthcare: Concepts, Methods and Impact provides a comprehensive overview of the field of prognosis and prognosis research and gives a global perspective on how prognosis research and prognostic information can improve the outcomes of healthcare. It details how to design, carry out, analyse and report prognosis studies, and how prognostic information can be the basis for tailored, personalised healthcare. In particular, the book discusses how information about the characteristics of people, their health, and environment can be used to predict an individual's future health. Prognosis Research in Healthcare: Concepts, Methods and Impact, addresses all types of prognosis research and provides a practical step-by-step guide to undertaking and interpreting prognosis research studies, ideal for medical students, health researchers, healthcare professionals and methodologists, as well as for guideline and policy makers in healthcare wishing to learn more about the field of prognosis. |
| nature cardiovascular research impact factor prediction: Intestinal Stem Cell Niche , 2018-04-24 Advances in Stem Cells and Their Niches addresses stem cells during development, homeostasis, and disease/injury of the respective organs, presenting new developments in the field, including new data on disease and clinical applications. Video content illustrates such areas as protocols, transplantation techniques, and work with mice. Explores not only reviews of research, but also shares methods, protocols, and transplantation techniques Contains video content to illustrate such areas as protocols, transplantation techniques, and work with mice Each volume concentrates on one organ, making this a unique publication |
| nature cardiovascular research impact factor prediction: Reproducibility and Replicability in Science National Academies of Sciences, Engineering, and Medicine, Policy and Global Affairs, Committee on Science, Engineering, Medicine, and Public Policy, Board on Research Data and Information, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Division on Earth and Life Studies, Nuclear and Radiation Studies Board, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Board on Behavioral, Cognitive, and Sensory Sciences, Committee on Reproducibility and Replicability in Science, 2019-10-20 One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science. |
| nature cardiovascular research impact factor prediction: Behind Deep Blue Feng-hsiung Hsu, 2022-05-03 The riveting quest to construct the machine that would take on the world’s greatest human chess player—told by the man who built it On May 11, 1997, millions worldwide heard news of a stunning victory, as a machine defeated the defending world chess champion, Garry Kasparov. Behind Deep Blue tells the inside story of the quest to create the mother of all chess machines and what happened at the two historic Deep Blue vs. Kasparov matches. Feng-hsiung Hsu, the system architect of Deep Blue, reveals how a modest student project started at Carnegie Mellon in 1985 led to the production of a multimillion-dollar supercomputer. Hsu discusses the setbacks, tensions, and rivalries in the race to develop the ultimate chess machine, and the wild controversies that culminated in the final triumph over the world's greatest human player. With a new foreword by Jon Kleinberg and a new preface from the author, Behind Deep Blue offers a remarkable look at one of the most famous advances in artificial intelligence, and the brilliant toolmaker who invented it. |
| nature cardiovascular research impact factor prediction: Educating the Student Body Committee on Physical Activity and Physical Education in the School Environment, Food and Nutrition Board, Institute of Medicine, 2013-11-13 Physical inactivity is a key determinant of health across the lifespan. A lack of activity increases the risk of heart disease, colon and breast cancer, diabetes mellitus, hypertension, osteoporosis, anxiety and depression and others diseases. Emerging literature has suggested that in terms of mortality, the global population health burden of physical inactivity approaches that of cigarette smoking. The prevalence and substantial disease risk associated with physical inactivity has been described as a pandemic. The prevalence, health impact, and evidence of changeability all have resulted in calls for action to increase physical activity across the lifespan. In response to the need to find ways to make physical activity a health priority for youth, the Institute of Medicine's Committee on Physical Activity and Physical Education in the School Environment was formed. Its purpose was to review the current status of physical activity and physical education in the school environment, including before, during, and after school, and examine the influences of physical activity and physical education on the short and long term physical, cognitive and brain, and psychosocial health and development of children and adolescents. Educating the Student Body makes recommendations about approaches for strengthening and improving programs and policies for physical activity and physical education in the school environment. This report lays out a set of guiding principles to guide its work on these tasks. These included: recognizing the benefits of instilling life-long physical activity habits in children; the value of using systems thinking in improving physical activity and physical education in the school environment; the recognition of current disparities in opportunities and the need to achieve equity in physical activity and physical education; the importance of considering all types of school environments; the need to take into consideration the diversity of students as recommendations are developed. This report will be of interest to local and national policymakers, school officials, teachers, and the education community, researchers, professional organizations, and parents interested in physical activity, physical education, and health for school-aged children and adolescents. |
| nature cardiovascular research impact factor prediction: Global Trends 2040 National Intelligence Council, 2021-03 The ongoing COVID-19 pandemic marks the most significant, singular global disruption since World War II, with health, economic, political, and security implications that will ripple for years to come. -Global Trends 2040 (2021) Global Trends 2040-A More Contested World (2021), released by the US National Intelligence Council, is the latest report in its series of reports starting in 1997 about megatrends and the world's future. This report, strongly influenced by the COVID-19 pandemic, paints a bleak picture of the future and describes a contested, fragmented and turbulent world. It specifically discusses the four main trends that will shape tomorrow's world: - Demographics-by 2040, 1.4 billion people will be added mostly in Africa and South Asia. - Economics-increased government debt and concentrated economic power will escalate problems for the poor and middleclass. - Climate-a hotter world will increase water, food, and health insecurity. - Technology-the emergence of new technologies could both solve and cause problems for human life. Students of trends, policymakers, entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades, will find this report, with colored graphs, essential reading. |
| nature cardiovascular research impact factor prediction: Manual of Cardiovascular Proteomics Giulio Agnetti, Merry L. Lindsey, D. Brian Foster, 2016-09-15 This book fulfils the need to keep up with the high number of innovations in proteomics, and at the same time to warn the readers about the danger of manufacturers and scientists claims around new technologies. Mass spectrometry stands as the core technology in proteomics. The emerging field of targeted proteomics and its potential applications in the cardiovascular arena are also reviewed and discussed. A concluding section highilghts the promise of proteomics in the light of these recent developments. As this technique and its applications have undergone remarkable advances in the past years, recent updates on proteomic applications are covered. Another key concept revealed by proteomic technologies is that the extent of protein post-translational modifications (PTMs) as well as their impact on the phenotype has been underestimated by pre-proteomics science. As such, part of the manual focuses on the emerging role of PTMs in basic cardiovascular sciences and in the clinics. In fact, there is an emerging consensus that the detailed annotation of protein PTMs could lead to a more in-depth representation of biological systems, translating into more specific targets for therapy as well as biomarkers. Moreover, a recent trend is so-called “targeted proteomics”. The approach was awarded the title of “Method of the Year” by Nature in 2013 (see the editorial by Vivien Marx in 1st issue of Nature in Jan 2013). According to a few proteomic scientists the emphasis should not be placed on generating long lists of proteins but lists of proteins with a true biological meaning. |
| nature cardiovascular research impact factor prediction: Genetic Dissection of Complex Traits D.C. Rao, C. Charles Gu, 2008-04-23 The field of genetics is rapidly evolving and new medical breakthroughs are occuring as a result of advances in knowledge of genetics. This series continually publishes important reviews of the broadest interest to geneticists and their colleagues in affiliated disciplines. Five sections on the latest advances in complex traits Methods for testing with ethical, legal, and social implications Hot topics include discussions on systems biology approach to drug discovery; using comparative genomics for detecting human disease genes; computationally intensive challenges, and more |
| nature cardiovascular research impact factor prediction: Grammar-Based Feature Generation for Time-Series Prediction Anthony Mihirana De Silva, Philip H. W. Leong, 2015-02-14 This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of machine learning techniques, among other things, depends on suitable engineering of features. This book proposes a systematic way for generating suitable features using context-free grammar. A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using grammatical evolution is proposed. The book contains graphical illustrations to explain the feature generation process. The proposed approaches are demonstrated by predicting the closing price of major stock market indices, peak electricity load and net hourly foreign exchange client trade volume. The proposed method can be applied to a wide range of machine learning architectures and applications to represent complex feature dependencies explicitly when machine learning cannot achieve this by itself. Industrial applications can use the proposed technique to improve their predictions. |
| nature cardiovascular research impact factor prediction: Strategies to Improve Cardiac Arrest Survival Institute of Medicine, Board on Health Sciences Policy, Committee on the Treatment of Cardiac Arrest: Current Status and Future Directions, 2015-09-29 Cardiac arrest can strike a seemingly healthy individual of any age, race, ethnicity, or gender at any time in any location, often without warning. Cardiac arrest is the third leading cause of death in the United States, following cancer and heart disease. Four out of five cardiac arrests occur in the home, and more than 90 percent of individuals with cardiac arrest die before reaching the hospital. First and foremost, cardiac arrest treatment is a community issue - local resources and personnel must provide appropriate, high-quality care to save the life of a community member. Time between onset of arrest and provision of care is fundamental, and shortening this time is one of the best ways to reduce the risk of death and disability from cardiac arrest. Specific actions can be implemented now to decrease this time, and recent advances in science could lead to new discoveries in the causes of, and treatments for, cardiac arrest. However, specific barriers must first be addressed. Strategies to Improve Cardiac Arrest Survival examines the complete system of response to cardiac arrest in the United States and identifies opportunities within existing and new treatments, strategies, and research that promise to improve the survival and recovery of patients. The recommendations of Strategies to Improve Cardiac Arrest Survival provide high-priority actions to advance the field as a whole. This report will help citizens, government agencies, and private industry to improve health outcomes from sudden cardiac arrest across the United States. |
| nature cardiovascular research impact factor prediction: Bioelectronic Medicine Valentin A. Pavlov, 2019 Cold Spring Harbor perspectives in medicine. |
| nature cardiovascular research impact factor prediction: Machine Learning in Cardiovascular Medicine Subhi J. Al'Aref, Gurpreet Singh, Lohendran Baskaran, Dimitri Metaxas, 2020-11-27 Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. |
| nature cardiovascular research impact factor prediction: Flood Forecasting Using Machine Learning Methods Fi-John Chang, Kuolin Hsu, Li-Chiu Chang, 2019-02-28 Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective. |
| nature cardiovascular research impact factor prediction: Myocardial Viability Vasken Dilsizian, 2000-02-10 Despite remarkable advances in the understanding and management of impaired left ventricular function (LVF) and related coronary disease, the prevalence of heart failure in the U.S. and the resulting death rates have almost tripled in the past 3 decades. New understanding of the relationships between the myocardium and LVF demonstrate a direct correlation between myocardial viability and improved patient survival. Because of this, myocardial viability is now a major investigative area in contemporary cardiology, one that holds significant clinical and prognostic relevance. Authored by physicians of international renown, the book brings together various disciplines affecting myocardial viability, with five main sections providing an introduction and comprehensive review of: basic concepts and mechanisms; vascular biology and cellular physiology; advances in functional imaging; and perfusion, metabolism and cell membrane integrity. New concepts, such as stunning and hibernation, are clarified, and subsequent novel diagnostic and therapeutic strategies are described. New and sophisticated examination techniques are also presented, as well as advances in instrumentation and imaging techniques, which may result in improved use of resources and enhanced efficiency of health care delivery. This monograph will serve as a reference source for those interested in the field of myocardial viability, and hopefully improve understanding between investigators from various disciplines. Clinical cardiologists, physicians, and nurses in the field, as well as radiologists, vascular surgeons, reperfusionists, cellular biologists and physiologists, and students will all find material of interest in this book. |
| nature cardiovascular research impact factor prediction: Metastatic Tumor Growth Gesellschaft zur Bekämpfung der Krebskrankheiten Nordrhein-Westfalen, 1980 |
| nature cardiovascular research impact factor prediction: Functional Imaging and Modeling of the Heart Daniel B. Ennis, Luigi E. Perotti, Vicky Y. Wang, 2021-06-18 This book constitutes the refereed proceedings of the 11th International Conference on Functional Imaging and Modeling of the Heart, which took place online during June 21-24, 2021, organized by the University of Stanford. The 65 revised full papers were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: advanced cardiac and cardiovascular image processing; cardiac microstructure: measures and models; novel approaches to measuring heart deformation; cardiac mechanics: measures and models; translational cardiac mechanics; modeling electrophysiology, ECG, and arrhythmia; cardiovascular flow: measures and models; and atrial microstructure, modeling, and thrombosis prediction. |
| nature cardiovascular research impact factor prediction: The Biopsychosocial Model of Health and Disease Derek Bolton, Grant Gillett, 2019-03-28 This open access book is a systematic update of the philosophical and scientific foundations of the biopsychosocial model of health, disease and healthcare. First proposed by George Engel 40 years ago, the Biopsychosocial Model is much cited in healthcare settings worldwide, but has been increasingly criticised for being vague, lacking in content, and in need of reworking in the light of recent developments. The book confronts the rapid changes to psychological science, neuroscience, healthcare, and philosophy that have occurred since the model was first proposed and addresses key issues such as the model’s scientific basis, clinical utility, and philosophical coherence. The authors conceptualise biology and the psychosocial as in the same ontological space, interlinked by systems of communication-based regulatory control which constitute a new kind of causation. These are distinguished from physical and chemical laws, most clearly because they can break down, thus providing the basis for difference between health and disease. This work offers an urgent update to the model’s scientific and philosophical foundations, providing a new and coherent account of causal interactions between the biological, the psychological and social. |
| nature cardiovascular research impact factor prediction: Flow Mihaly Csikszent, 1991-03-13 An introduction to flow, a new field of behavioral science that offers life-fulfilling potential, explains its principles and shows how to introduce flow into all aspects of life, avoiding the interferences of disharmony. |
| nature cardiovascular research impact factor prediction: Modeling Survival Data: Extending the Cox Model Terry M. Therneau, Patricia M. Grambsch, 2013-11-11 This book is for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Building on recent developments motivated by counting process and martingale theory, it shows the reader how to extend the Cox model to analyze multiple/correlated event data using marginal and random effects. The focus is on actual data examples, the analysis and interpretation of results, and computation. The book shows how these new methods can be implemented in SAS and S-Plus, including computer code, worked examples, and data sets. |
| nature cardiovascular research impact factor prediction: Phenotypic Drug Discovery Beverley Isherwood, Angelique Augustin, 2020-12-09 Phenotypic drug discovery has been highlighted in the past decade as an important strategy in the discovery of new medical entities. How many marketed drugs are derived from phenotypic screens? From the most recent examples, what were the factors enabling target identification and validation? This book answers these questions by elaborating on fundamental capabilities required for phenotypic drug discovery and using case studies to illustrate approaches and key success factors. Written and edited by experienced practitioners from both industry and academia, this publication will equip researchers with a thought-provoking guide to the application and future development of contemporary phenotypic drug discovery for clinical success. |
| nature cardiovascular research impact factor prediction: Cochrane Handbook for Systematic Reviews of Interventions Julian P. T. Higgins, Sally Green, 2008-11-24 Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves. |
| nature cardiovascular research impact factor prediction: Textbook of Vascular Medicine Rhian M. Touyz, Christian Delles, 2019-08-02 This textbook focuses on the vascular biology and physiology that underlie vascular disorders in clinical medicine. Vascular biomedicine is a rapidly growing field as new molecular mechanisms of vascular health and disease are unraveled. Many of the major cardiovascular diseases including coronary artery disease, heart failure, stroke and vascular dementia are diseases of the vasculature. In addition vascular injury underpins conditions like kidney failure and cardiovascular complications of diabetes. This field is truly multidisciplinary involving scientists in many domains such as molecular and vascular biology, cardiovascular physiology and pharmacology and immunology and inflammation. Clinically, specialists across multiple disciplines are involved in the management of patients with vascular disorders, including cardiologists, nephrologists, endocrinologists, neurologists and vascular surgeons. This book covers a wide range of topics and provides an overview of the discipline of vascular biomedicine without aiming at in-depth reviews, but rather offering up-to-date knowledge organized in concise and structured chapters, with key points and pertinent references. The structure of the content provides an integrative and translational approach from basic science (e.g. stem cells) to clinical medicine (e.g. cardiovascular disease). The content of this book is targeted to those who are new in the field of vascular biology and vascular medicine and is ideal for medical students, graduate and postgraduate students, clinical fellows and academic clinicians with an interest in the vascular biology and physiology of cardiovascular disease and related pathologies. |
| nature cardiovascular research impact factor prediction: Coronary Primary Prevention Trial , 1984 |
| nature cardiovascular research impact factor prediction: Epidemiology and Health Services Haroutune K. Armenian, Sam Shapiro, 1998 What is the relevance of epidemiology to decision making in the health services? If our ability to launch large-scale experimental studies of health services is limited, what are some alternative approaches to study design? How can we best make use of routinely collected data from health information systems? How can we best synthesize information to make more reasonable inferences? Epidemiology and Health Services is different from other books in the field. Many books and specialized publications have presented a comprehensive picture of epidemiologic methods, but they have not shown in a systematic way how these methods apply to health services. This book fills the gap, and goes even further by analyzing the strengths and limitations of epidemiologic methods in the context of health care delivery, and discussing approaches for making pertinent inferences in actual cases. The book addresses the needs of a broad spectrum of health professionals. It will help health service administrators, managers and other professionals design and conduct evaluative and intervention research on the delivery of health services. It will also give epidemiology and public health students a wider perspective on the various applications of the discipline. |
| nature cardiovascular research impact factor prediction: Computational Psychiatry A. David Redish, Joshua A. Gordon, 2016-12-09 Psychiatrists and neuroscientists discuss the potential of computational approaches to address problems in psychiatry including diagnosis, treatment, and integration with neurobiology. Modern psychiatry is at a crossroads, as it attempts to balance neurological analysis with psychological assessment. Computational neuroscience offers a new lens through which to view such thorny issues as diagnosis, treatment, and integration with neurobiology. In this volume, psychiatrists and theoretical and computational neuroscientists consider the potential of computational approaches to psychiatric issues. This unique collaboration yields surprising results, innovative synergies, and novel open questions. The contributors consider mechanisms of psychiatric disorders, the use of computation and imaging to model psychiatric disorders, ways that computation can inform psychiatric nosology, and specific applications of the computational approach. Contributors Susanne E. Ahmari, Huda Akil, Deanna M. Barch, Matthew Botvinick, Michael Breakspear, Cameron S. Carter, Matthew V. Chafee, Sophie Denève, Daniel Durstewitz, Michael B. First, Shelly B. Flagel, Michael J. Frank, Karl J. Friston, Joshua A. Gordon, Katia M. Harlé, Crane Huang, Quentin J. M. Huys, Peter W. Kalivas, John H. Krystal, Zeb Kurth-Nelson, Angus W. MacDonald III, Tiago V. Maia, Robert C. Malenka, Sanjay J. Mathew, Christoph Mathys, P. Read Montague, Rosalyn Moran, Theoden I. Netoff, Yael Niv, John P. O'Doherty, Wolfgang M. Pauli, Martin P. Paulus, Frederike Petzschner, Daniel S. Pine, A. David Redish, Kerry Ressler, Katharina Schmack, Jordan W. Smoller, Klaas Enno Stephan, Anita Thapar, Heike Tost, Nelson Totah, Jennifer L. Zick |
| nature cardiovascular research impact factor prediction: Machine Learning in Cardiovascular Medicine Subhi J. Al'Aref, Gurpreet Singh, Lohendran Baskaran, Dimitri Metaxas, 2020-11-20 Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. - Provides an overview of machine learning, both for a clinical and engineering audience - Summarize recent advances in both cardiovascular medicine and artificial intelligence - Discusses the advantages of using machine learning for outcomes research and image processing - Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach |
| nature cardiovascular research impact factor prediction: Cardiovascular Medicine James T. Willerson, Jay N. Cohn, Hein J.J. Wellens, David R. Holmes, 2007-12-06 This book offers the most up-to-date, user-friendly guidance on the evaluation, diagnosis and medical and surgical treatment of heart and vascular disease. The book and DVD package is designed to provide comprehensive coverage of every aspect of cardiovascular medicine. The book has consistent chapter organization relevant to modern cardiovascular practice, clear design and engaging text. The reader will have all the guidance to diagnose and manage the full range of cardiovascular conditions in one textbook resource, while also benefiting from access to additional video material from the integral DVD-ROM. This includes over 100 individual heart sounds. |
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