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Author: John S. Silva Publisher: Springer Science & Business Media ISBN: 1461300630 Category : Medical Languages : en Pages : 412
Book Description
Cancer Informatics chronicles the development of the National Cancer Institute's new Cancer Informatics Infrastructure (CII) - an information management system infrastructure designed to faciliate clinical trials, provide for reliable, secure information exchange, and improve patient care. The book details the challenges involved in creating and managing such a knowledge base, including technologies, standards, and current, state-of-the-art applications. The ultimate goal of CII is to function as an enabler of clinical trials, expediting the clinical trials lifecycle, faciliating faster and safer drug development and more appropriate treatment choices for cancer patients. Contributors address the role the CII must play in converting the growing knowledge of genes, proteins, and pathways into appropriate preventative, diagnostic, and therapeutic measures. Presented in four sections, the first provides an overview of the processes involved in moving the infrastructure for cancer from theory into practice. Sections two through four offer the latest work done in the areas of technology, cancer-specific and national standards, and applications to faciliate clinical trials.
Author: John S. Silva Publisher: Springer Science & Business Media ISBN: 1461300630 Category : Medical Languages : en Pages : 412
Book Description
Cancer Informatics chronicles the development of the National Cancer Institute's new Cancer Informatics Infrastructure (CII) - an information management system infrastructure designed to faciliate clinical trials, provide for reliable, secure information exchange, and improve patient care. The book details the challenges involved in creating and managing such a knowledge base, including technologies, standards, and current, state-of-the-art applications. The ultimate goal of CII is to function as an enabler of clinical trials, expediting the clinical trials lifecycle, faciliating faster and safer drug development and more appropriate treatment choices for cancer patients. Contributors address the role the CII must play in converting the growing knowledge of genes, proteins, and pathways into appropriate preventative, diagnostic, and therapeutic measures. Presented in four sections, the first provides an overview of the processes involved in moving the infrastructure for cancer from theory into practice. Sections two through four offer the latest work done in the areas of technology, cancer-specific and national standards, and applications to faciliate clinical trials.
Author: Bradford W. Hesse Publisher: Academic Press ISBN: 0128022000 Category : Computers Languages : en Pages : 449
Book Description
Oncology Informatics: Using Health Information Technology to Improve Processes and Outcomes in Cancer Care encapsulates National Cancer Institute-collected evidence into a format that is optimally useful for hospital planners, physicians, researcher, and informaticians alike as they collectively strive to accelerate progress against cancer using informatics tools. This book is a formational guide for turning clinical systems into engines of discovery as well as a translational guide for moving evidence into practice. It meets recommendations from the National Academies of Science to "reorient the research portfolio" toward providing greater "cognitive support for physicians, patients, and their caregivers" to "improve patient outcomes." Data from systems studies have suggested that oncology and primary care systems are prone to errors of omission, which can lead to fatal consequences downstream. By infusing the best science across disciplines, this book creates new environments of "Smart and Connected Health." Oncology Informatics is also a policy guide in an era of extensive reform in healthcare settings, including new incentives for healthcare providers to demonstrate "meaningful use" of these technologies to improve system safety, engage patients, ensure continuity of care, enable population health, and protect privacy. Oncology Informatics acknowledges this extraordinary turn of events and offers practical guidance for meeting meaningful use requirements in the service of improved cancer care. Anyone who wishes to take full advantage of the health information revolution in oncology to accelerate successes against cancer will find the information in this book valuable. Presents a pragmatic perspective for practitioners and allied health care professionals on how to implement Health I.T. solutions in a way that will minimize disruption while optimizing practice goals Proposes evidence-based guidelines for designers on how to create system interfaces that are easy to use, efficacious, and timesaving Offers insight for researchers into the ways in which informatics tools in oncology can be utilized to shorten the distance between discovery and practice
Author: Igor Jurisica Publisher: Springer Science & Business Media ISBN: 0387693211 Category : Medical Languages : en Pages : 193
Book Description
Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools for analyzing data in the field of medical information science. This, of course, requires analytic tools. Those tools are garnered by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Key challenges in this field include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment.
Author: Terrence Adam Publisher: Springer Nature ISBN: 3030186261 Category : Medical Languages : en Pages : 349
Book Description
This book adopts an integrated and workflow-based treatment of the field of personalized and precision medicine (PPM). Outlined within are established, proven and mature workflows as well as emerging and highly-promising opportunities for development. Each workflow is reviewed in terms of its operation and how they are enabled by a multitude of informatics methods and infrastructures. The book goes on to describe which parts are crucial to discovery and which are essential to delivery and how each of these interface and feed into one-another. Personalized and Precision Medicine Informatics provides a comprehensive review of the integrative as well as interpretive nature of the topic and brings together a large body of literature to define the topic and ensure that this is the key reference for the topic. It is an unique contribution that is positioned to be an essential guide for both PPM experts and non-experts, and for both informatics and non-informatics professionals.
Author: Alexander Krasnitz Publisher: Humana Press ISBN: 9781493988662 Category : Medical Languages : en Pages : 280
Book Description
This volume covers a wide variety of state of the art cancer-related methods and tools for data analysis and interpretation. Chapters were designed to attract a broad readership, ranging from active researchers in computational biology and bioinformatics developers, clinical oncologists, and anti-cancer drug developers wishing to rationalize their search for new compounds. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, installation instructions for computational tools discussed, explanations of the input and output formats, and illustrative examples of applications. Authoritative and cutting-edge, Cancer Bioinformatics: Methods and Protocols aims to support researchers performing computational analysis of cancer-related data.
Author: Weinberg, Robert A. Publisher: W.W. Norton & Company ISBN: 0815345283 Category : Science Languages : en Pages : 6
Book Description
Incorporating the most important advances in the fast-growing field of cancer biology, the text maintains all of its hallmark features. It is admired by students, instructors, researchers, and clinicians around the world for its clear writing, extensive full-color art program, and numerous pedagogical features.
Author: Bairong Shen Publisher: Springer ISBN: 9811015031 Category : Science Languages : en Pages : 331
Book Description
This book introduces readers to essential methods and applications in translational biomedical informatics, which include biomedical big data, cloud computing and algorithms for understanding omics data, imaging data, electronic health records and public health data. The storage, retrieval, mining and knowledge discovery of biomedical big data will be among the key challenges for future translational research. The paradigm for precision medicine and healthcare needs to integratively analyze not only the data at the same level – e.g. different omics data at the molecular level – but also data from different levels – the molecular, cellular, tissue, clinical and public health level. This book discusses the following major aspects: the structure of cross-level data; clinical patient information and its shareability; and standardization and privacy. It offers a valuable guide for all biologists, biomedical informaticians and clinicians with an interest in Precision Medicine Informatics.
Author: Trevor F. Cox Publisher: CRC Press ISBN: 1000601102 Category : Mathematics Languages : en Pages : 334
Book Description
Cancer is a dreaded disease. One in two people will be diagnosed with cancer within their lifetime. Medical Statistics for Cancer Studies shows how cancer data can be analysed in a variety of ways, covering cancer clinical trial data, epidemiological data, biological data, and genetic data. It gives some background in cancer biology and genetics, followed by detailed overviews of survival analysis, clinical trials, regression analysis, epidemiology, meta-analysis, biomarkers, and cancer informatics. It includes lots of examples using real data from the author’s many years of experience working in a cancer clinical trials unit. Features: A broad and accessible overview of statistical methods in cancer research Necessary background in cancer biology and genetics Details of statistical methodology with minimal algebra Many examples using real data from cancer clinical trials Appendix giving statistics revision.
Author: John S. Silva
Author: John S. Silva
Author: Bradford W. Hesse
Author: Herman R. Menck
Author: Igor Jurisica
Author: Terrence Adam
Author: Alexander Krasnitz
Author: Weinberg, Robert A.
Author: United States
Author: Bairong Shen
Author: Trevor F. Cox