Translating innovation to clinical outcomes
نویسندگان
چکیده
منابع مشابه
Translating clinical trials into meaningful outcomes.
Efforts to unravel the complex biology that is necessary to develop new therapies best suited for an individual with cancer are at a crossroads with a strained health care system and an insufficient clinical trial apparatus. The resulting failures have been described as the "valley of death." Progress into the future will require new considerations and the engagement of a broad band of stakehol...
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The genomics era has yielded great advances in the understanding of cancer biology. At the same time, the immense complexity of the cancer genome has been revealed, as well as a striking heterogeneity at the whole-genome (or omics) level that exists between even histologically similar tumors. The vast accrual and public availability of multi-omics databases with associated clinical annotation i...
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AIMS AND OBJECTIVES To describe the importance of, and methods for, successfully conducting and translating research into clinical practice. BACKGROUND There is universal acknowledgement that the clinical care provided to individuals should be informed on the best available evidence. Knowledge and evidence derived from robust scholarly methods should drive our clinical practice, decisions and...
متن کاملTranslating “Nondiabetic” A1C Levels to Clinical Practice
It is well recognized that there is a significant delay from the time clinical research findings are first reported and when the results become an integral part of clinical care. With the understanding that the prevalence and incidence of diabetes is increasing worldwide, and that the resulting complications are a major contributor to morbidity and mortality, the need for more rapid clinical tr...
متن کاملComputational medicine: translating models to clinical care.
Because of the inherent complexity of coupled nonlinear biological systems, the development of computational models is necessary for achieving a quantitative understanding of their structure and function in health and disease. Statistical learning is applied to high-dimensional biomolecular data to create models that describe relationships between molecules and networks. Multiscale modeling lin...
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ژورنال
عنوان ژورنال: Nephrology Dialysis Transplantation
سال: 2018
ISSN: 0931-0509,1460-2385
DOI: 10.1093/ndt/gfy231