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Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases.
Network Medicine by Joseph Loscalzo,Albert-László Barabási,Edwin K. Silverman Pdf
Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases.
Analyzing Network Data in Biology and Medicine by Nataša Pržulj Pdf
Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.
National Research Council,Division on Earth and Life Studies,Board on Life Sciences,Committee on A Framework for Developing a New Taxonomy of Disease
Author : National Research Council,Division on Earth and Life Studies,Board on Life Sciences,Committee on A Framework for Developing a New Taxonomy of Disease Publisher : National Academies Press Page : 142 pages File Size : 52,6 Mb Release : 2012-01-16 Category : Medical ISBN : 9780309222228
Toward Precision Medicine by National Research Council,Division on Earth and Life Studies,Board on Life Sciences,Committee on A Framework for Developing a New Taxonomy of Disease Pdf
Motivated by the explosion of molecular data on humans-particularly data associated with individual patients-and the sense that there are large, as-yet-untapped opportunities to use this data to improve health outcomes, Toward Precision Medicine explores the feasibility and need for "a new taxonomy of human disease based on molecular biology" and develops a potential framework for creating one. The book says that a new data network that integrates emerging research on the molecular makeup of diseases with clinical data on individual patients could drive the development of a more accurate classification of diseases and ultimately enhance diagnosis and treatment. The "new taxonomy" that emerges would define diseases by their underlying molecular causes and other factors in addition to their traditional physical signs and symptoms. The book adds that the new data network could also improve biomedical research by enabling scientists to access patients' information during treatment while still protecting their rights. This would allow the marriage of molecular research and clinical data at the point of care, as opposed to research information continuing to reside primarily in academia. Toward Precision Medicine notes that moving toward individualized medicine requires that researchers and health care providers have access to very large sets of health- and disease-related data linked to individual patients. These data are also critical for developing the information commons, the knowledge network of disease, and ultimately the new taxonomy.
Institute of Medicine,Board on Health Care Services,Committee on Standards for Developing Trustworthy Clinical Practice Guidelines
Author : Institute of Medicine,Board on Health Care Services,Committee on Standards for Developing Trustworthy Clinical Practice Guidelines Publisher : National Academies Press Page : 217 pages File Size : 51,7 Mb Release : 2011-06-16 Category : Medical ISBN : 9780309216463
Clinical Practice Guidelines We Can Trust by Institute of Medicine,Board on Health Care Services,Committee on Standards for Developing Trustworthy Clinical Practice Guidelines Pdf
Advances in medical, biomedical and health services research have reduced the level of uncertainty in clinical practice. Clinical practice guidelines (CPGs) complement this progress by establishing standards of care backed by strong scientific evidence. CPGs are statements that include recommendations intended to optimize patient care. These statements are informed by a systematic review of evidence and an assessment of the benefits and costs of alternative care options. Clinical Practice Guidelines We Can Trust examines the current state of clinical practice guidelines and how they can be improved to enhance healthcare quality and patient outcomes. Clinical practice guidelines now are ubiquitous in our healthcare system. The Guidelines International Network (GIN) database currently lists more than 3,700 guidelines from 39 countries. Developing guidelines presents a number of challenges including lack of transparent methodological practices, difficulty reconciling conflicting guidelines, and conflicts of interest. Clinical Practice Guidelines We Can Trust explores questions surrounding the quality of CPG development processes and the establishment of standards. It proposes eight standards for developing trustworthy clinical practice guidelines emphasizing transparency; management of conflict of interest ; systematic review-guideline development intersection; establishing evidence foundations for and rating strength of guideline recommendations; articulation of recommendations; external review; and updating. Clinical Practice Guidelines We Can Trust shows how clinical practice guidelines can enhance clinician and patient decision-making by translating complex scientific research findings into recommendations for clinical practice that are relevant to the individual patient encounter, instead of implementing a one size fits all approach to patient care. This book contains information directly related to the work of the Agency for Healthcare Research and Quality (AHRQ), as well as various Congressional staff and policymakers. It is a vital resource for medical specialty societies, disease advocacy groups, health professionals, private and international organizations that develop or use clinical practice guidelines, consumers, clinicians, and payers.
This book is available as open access through the Knowledge Unlatched programme and is available on www.bloomsburycollections.com. We need to talk about Hippocrates. Current scholarship attributes none of the works of the 'Hippocratic corpus' to him, and the ancient biographical traditions of his life are not only late, but also written for their own promotional purposes. Yet Hippocrates features powerfully in our assumptions about ancient medicine, and our beliefs about what medicine – and the physician himself – should be. In both orthodox and alternative medicine, he continues to be a model to be emulated. This book will challenge widespread assumptions about Hippocrates (and, in the process, about the history of medicine in ancient Greece and beyond) and will also explore the creation of modern myths about the ancient world. Why do we continue to use Hippocrates, and how are new myths constructed around his name? How do news stories and the internet contribute to our picture of him? And what can this tell us about wider popular engagements with the classical world today, in memes, 'quotes' and online?
Networks in Tropical Medicine by Deborah Neill Pdf
Networks in Tropical Medicine explores how European doctors and scientists worked together across borders to establish the new field of tropical medicine in the late nineteenth and early twentieth centuries. The book shows that this transnational collaboration in a context of European colonialism, scientific discovery, and internationalism shaped the character of the new medical specialty. Even in an era of intense competition among European states, practitioners of tropical medicine created a transnational scientific community through which they influenced each other and the health care that was introduced to the tropical world. One of the most important developments in the shaping of tropical medicine as a specialty was the major sleeping sickness epidemic that spread across sub-Saharan Africa at the turn of the century. The book describes how scientists and doctors collaborated across borders to control, contain, and find a treatment for the disease. It demonstrates that these medical specialists' shared notions of "Europeanness," rooted in common beliefs about scientific, technological, and racial superiority, led them to establish a colonial medical practice in Africa that sometimes oppressed the same people it was created to help.
Approaching Complex Diseases by Mariano Bizzarri Pdf
This volume – for pharmacologists, systems biologists, philosophers and historians of medicine – points to investigate new avenues in pharmacology research, by providing a full assessment of the premises underlying a radical shift in the pharmacology paradigm. The pharmaceutical industry is currently facing unparalleled challenges in developing innovative drugs. While drug-developing scientists in the 1990s mostly welcomed the transformation into a target-based approach, two decades of experience shows that this model is failing to boost both drug discovery and efficiency. Selected targets were often not druggable and with poor disease linkage, leading to either high toxicity or poor efficacy. Therefore, a profound rethinking of the current paradigm is needed. Advances in systems biology are revealing a phenotypic robustness and a network structure that strongly suggest that exquisitely selective compounds, compared with multitarget drugs, may exhibit lower than desired clinical efficacy. This appreciation of the role of polypharmacology has significant implications for tackling the two major sources of attrition in drug development, efficacy and toxicity. Integrating network biology and polypharmacology holds the promise of expanding the current opportunity space for druggable targets.
Network Medicine by Albert-László Barabási,Joseph Loscalzo,Edwin K. Silverman Pdf
"Network medicine, a new field which developed from the application of systems biology approaches to human disease, embraces the complexity of multifactorial influences on disease, which can be driven by non-linear effects and molecular and statistical interactions. The development of comprehensive and affordable Omics platforms provides the data types for network medicine, and graph theory and statistical physics provide the theoretical framework to analyze networks. While network medicine provides a fundamentally different approach to understanding disease etiology, it will also lead to key differences in how diseases are treated--with multiple molecular targets that may require manipulation in a coordinated, dynamic fashion. Much remains to be learned regarding the optimal approaches to integrate different Omics data types and to perform network analyses; this book provides an overview of the progress that has been made and the challenges that remain."--
Network Pharmacology and Traditional Medicine by Shao Li,Yuanjia Hu,Shi-Bing Su Pdf
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
High-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to biologically or clinically important emergent phenotypes.
Artificial Neural Networks in Medicine and Biology by H. Malmgren,M. Borga,L. Niklasson Pdf
This book contains the proceedings of the conference ANNIMAB-l, held 13-16 May 2000 in Goteborg, Sweden. The conference was organized by the Society for Artificial Neural Networks in Medicine and Biology (ANNIMAB-S), which was established to promote research within a new and genuinely cross-disciplinary field. Forty-two contributions were accepted for presentation; in addition to these, S invited papers are also included. Research within medicine and biology has often been characterised by application of statistical methods for evaluating domain specific data. The growing interest in Artificial Neural Networks has not only introduced new methods for data analysis, but also opened up for development of new models of biological and ecological systems. The ANNIMAB-l conference is focusing on some of the many uses of artificial neural networks with relevance for medicine and biology, specifically: • Medical applications of artificial neural networks: for better diagnoses and outcome predictions from clinical and laboratory data, in the processing of ECG and EEG signals, in medical image analysis, etc. More than half of the contributions address such clinically oriented issues. • Uses of ANNs in biology outside clinical medicine: for example, in models of ecology and evolution, for data analysis in molecular biology, and (of course) in models of animal and human nervous systems and their capabilities. • Theoretical aspects: recent developments in learning algorithms, ANNs in relation to expert systems and to traditional statistical procedures, hybrid systems and integrative approaches.
Computational Network Analysis with R by Matthias Dehmer,Yongtang Shi,Frank Emmert-Streib Pdf
This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.
Gordon Guyatt,Drummond Rennie,Maureen O. Meade,Deborah J. Cook
Author : Gordon Guyatt,Drummond Rennie,Maureen O. Meade,Deborah J. Cook Publisher : McGraw Hill Professional Page : 383 pages File Size : 54,8 Mb Release : 2008-03-01 Category : Medical ISBN : 0071590390
Users' Guides to the Medical Literature by Gordon Guyatt,Drummond Rennie,Maureen O. Meade,Deborah J. Cook Pdf
The “essential” companion to the landmark Users' Guides to the Medical Literature - completely revised and updated! 5 STAR DOODY'S REVIEW! "This second edition is even better than the original. Information is easier to find and the additional resources that will be available at www.JAMAevidence.com will provide readers with a one-stop source for evidence-based medicine."--Doody's Review Service Evidence-based medicine involves the careful interpretation of medical studies and its clinical application. And no resource helps you do it better-and faster-than Users' Guides to the Medical Literature: Essentials of Evidence-Based Clinical Practice. This streamlined reference distills the most clinically-relevant coverage from the parent Users' Guide Manual into one highly-focused, portable resource. Praised for its clear explanations of detailed statistical and mathematical principles, The Essentials concisely covers all the basic concepts of evidence-based medicine--everything you need to deliver optimal patient care. It's a perfect at-a-glance source for busy clinicians and students, helping you distinguish between solid medical evidence and poor medical evidence, tailor evidence-based medicine for each patient, and much more. Now in its second edition, this carry-along quick reference is more clinically relevant--and more essential--than ever! FEATURES Completely revised and updated with all new coverage of the basic issues in evidence-based medicine in patient care Abundant real-world examples drawn from the medical literature are woven throughout, and include important related principles and pitfalls in using clinical research in patient care decisions Edited by over 60 internationally recognized editors and contributors from around the globe Also look for JAMAevidence.com, a new interactive database for the best practice of evidence based medicine.
