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Institution

Emory University

EducationAtlanta, Georgia, United States
About: Emory University is a education organization based out in Atlanta, Georgia, United States. It is known for research contribution in the topics: Population & Medicine. The organization has 51959 authors who have published 122469 publications receiving 6010698 citations.


Papers
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Journal ArticleDOI
TL;DR: The 13th St Gallen International Breast Cancer Conference (2013) Expert Panel reviewed and endorsed substantial new evidence on aspects of the local and regional therapies for early breast cancer, supporting less extensive surgery to the axilla and shorter durations of radiation therapy.

2,831 citations

Journal ArticleDOI
TL;DR: This research presents a meta-analysis of 125 cases of central giant cell apoptosis, a type of cell death that is known as a “cell death” and which has been associated with Parkinson’s disease for more than 40 years.
Abstract: Timothy H. Dellit, Robert C. Owens, John E. McGowan, Jr., Dale N. Gerding, Robert A. Weinstein, John P. Burke, W. Charles Huskins, David L. Paterson, Neil O. Fishman, Christopher F. Carpenter, P. J. Brennan, Marianne Billeter, and Thomas M. Hooton Harborview Medical Center and the University of Washington, Seattle; Maine Medical Center, Portland; Emory University, Atlanta, Georgia; Hines Veterans Affairs Hospital and Loyola University Stritch School of Medicine, Hines, and Stroger (Cook County) Hospital and Rush University Medical Center, Chicago, Illinois; University of Utah, Salt Lake City; Mayo Clinic College of Medicine, Rochester, Minnesota; University of Pittsburgh Medical Center, Pittsburgh, and University of Pennsylvania, Philadelphia, Pennsylvania; William Beaumont Hospital, Royal Oak, Michigan; Ochsner Health System, New Orleans, Louisiana; and University of Miami, Miami, Florida

2,831 citations

Journal ArticleDOI
TL;DR: It is argued that information technology investments and capabilities influence firm performance through three significant organizational capabilities (agility, digital options, and entrepreneurial alertness) and strategic processes (capability-building, entrepreneurial action, and coevolutionary adaptation).
Abstract: Agility is vital to the innovation and competitive performance of firms in contemporary business environments. Firms are increasingly relying on information technologies, including process, knowledge, and communication technologies, to enhance their agility. The purpose of this paper is to broaden understanding about the strategic role of IT by examining the nomological network of influences through which IT impacts firm performance. By drawing upon recent thinking in the strategy, entrepreneurship, and IT management literatures, this paper uses a multitheoretic lens to argue that information technology investments and capabilities influence firm performance through three significant organizational capabilities (agility, digital options, and entrepreneurial alertness) and strategic processes (capability-building, entrepreneurial action, and coevolutionary adaptation). We also propose that these dynamic capabilities and strategic processes impact the ability of firms to launch many and varied competitive actions and that, in turn, these competitive actions are a significant antecedent of firm performance. Through our theorizing, we draw attention to a significant and reframed role of IT as a digital options generator in contemporary firms.

2,830 citations

Journal ArticleDOI
TL;DR: HAIs in hospitals are a significant cause of morbidity and mortality in the United States and the method described for estimating the number of HAIs makes the best use of existing data at the national level.
Abstract: Objective.The purpose of this study was to provide a national estimate of the number of healthcare-associated infections (HAI) and deaths in United States hospitals.Methods.No single source of nationally representative data on HAIs is currently available. The authors used a multi-step approach and three data sources. The main source of data was the National Nosocomial Infections Surveillance (NNIS) system, data from 1990–2002, conducted by the Centers for Disease Control and Prevention. Data from the National Hospital Discharge Survey (for 2002) and the American Hospital Association Survey (for 2000) were used to supplement NNIS data. The percentage of patients with an HAI whose death was determined to be caused or associated with the HAI from NNIS data was used to estimate the number of deaths.Results.In 2002, the estimated number of HAIs in U.S. hospitals, adjusted to include federal facilities, was approximately 1.7 million: 33,269 HAIs among newborns in high-risk nurseries, 19,059 among newborns in we...

2,822 citations

Journal ArticleDOI
TL;DR: The 1000 Functional Connectomes Project (Fcon_1000) as discussed by the authors is a large-scale collection of functional connectome data from 1,414 volunteers collected independently at 35 international centers.
Abstract: Although it is being successfully implemented for exploration of the genome, discovery science has eluded the functional neuroimaging community. The core challenge remains the development of common paradigms for interrogating the myriad functional systems in the brain without the constraints of a priori hypotheses. Resting-state functional MRI (R-fMRI) constitutes a candidate approach capable of addressing this challenge. Imaging the brain during rest reveals large-amplitude spontaneous low-frequency (<0.1 Hz) fluctuations in the fMRI signal that are temporally correlated across functionally related areas. Referred to as functional connectivity, these correlations yield detailed maps of complex neural systems, collectively constituting an individual's "functional connectome." Reproducibility across datasets and individuals suggests the functional connectome has a common architecture, yet each individual's functional connectome exhibits unique features, with stable, meaningful interindividual differences in connectivity patterns and strengths. Comprehensive mapping of the functional connectome, and its subsequent exploitation to discern genetic influences and brain-behavior relationships, will require multicenter collaborative datasets. Here we initiate this endeavor by gathering R-fMRI data from 1,414 volunteers collected independently at 35 international centers. We demonstrate a universal architecture of positive and negative functional connections, as well as consistent loci of inter-individual variability. Age and sex emerged as significant determinants. These results demonstrate that independent R-fMRI datasets can be aggregated and shared. High-throughput R-fMRI can provide quantitative phenotypes for molecular genetic studies and biomarkers of developmental and pathological processes in the brain. To initiate discovery science of brain function, the 1000 Functional Connectomes Project dataset is freely accessible at www.nitrc.org/projects/fcon_1000/.

2,787 citations


Authors

Showing all 52622 results

NameH-indexPapersCitations
Younan Xia216943175757
Eric J. Topol1931373151025
Bernard Rosner1901162147661
Paul G. Richardson1831533155912
Peter W.F. Wilson181680139852
Dennis S. Charney179802122408
Joseph Biederman1791012117440
Kenneth C. Anderson1781138126072
David A. Weitz1781038114182
Lei Jiang1702244135205
William J. Sandborn1621317108564
Stephen J. Elledge162406112878
Ali H. Mokdad156634160599
Michael Tomasello15579793361
Don W. Cleveland15244484737
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023195
20221,124
20218,694
20208,001
20197,033
20186,326