ライフサイエンスコーパス: Grace

1 f Genetic Risk Assessment of Cardiac Events (GRACE).

2 ontinuous hs-cTn T at presentation (modified GRACE).

3 ucose-response activation conserved element (GRACE).

4 endows our voluntary actions with vigor and grace.

5 ng the on-line gene regression analysis tool GRACE.

6 sing as predicted by the model of Lisman and Grace.

7 lts remained consistent after adjustment for GRACE 2.0 (T3: adjusted HR, 1.86; 95% CI, 1.04-3.74; P =

8 rtality were similar between the two scores (GRACE 2.0 0.841 and SMIR 0.865).

9 Although the variables used in the GRACE 2.0 score and SMIR score were not exactly the same

10 patients and compared its performance to the GRACE 2.0 score for predicting 1-year all-cause mortalit

11 The GRACE 2.0 score has limited discriminatory performance a

12 We evaluated the GRACE 2.0 score in 420 781 consecutive patients with NST

13 112 (10%) patients died with an AUC for the GRACE 2.0 score of 0.83 [95% confidence interval (CI) 0.

14 The GRACE 2.0 score provided good discrimination for all-cau

15 al in Sweden (n = 22 589), we calculated the GRACE 2.0 score to estimate death at 1 year.

16 The GRACE 2.0 score underestimated in-hospital mortality ris

17 -cause mortality in our population using the GRACE 2.0 score was cardiopulmonary resuscitation on adm

18 Discrimination of in-hospital death by the GRACE 2.0 score was good in male patients (area under th

19 Exposure included AI-ECG score, HEART score, GRACE 2.0 score, high-sensitivity troponin level, and Ph

20 77; 95% CI, 0.869-0.886) and superior to the GRACE 2.0 score, high-sensitivity troponin level, and Ph

21 ustment for established risk factors and the GRACE 2.0 score.

22 PCI, the SMIR score performed as well as the GRACE 2.0 score.

23 he Global Registry of Acute Coronary Events (GRACE) 2.0 score was developed and validated in predomin

24 GRACE 3.0 led to a clinically relevant reclassification

25 The GRACE 3.0 score performs better in men and women and red

26 External validation of the GRACE 3.0 score was done in 20 727 patients from Switzer

27 Accounting for sex differences, GRACE 3.0 showed superior discrimination and good calibr

28 (NSTE-ACS) and to develop an improved score (GRACE 3.0) that accounts for sex differences in disease

29 The GRACE 6-month postdischarge prediction model is a simple

30 he Global Registry of Acute Coronary Events (GRACE), a multinational cohort study, 44 372 patients wi

31 Grace-AKO can control FDR in finite-sample settings and

32 Grace-AKO finally identifies 47 candidate genes associat

33 This article proposes a novel method named Grace-AKO for graph-constrained estimation (Grace), whic

34 Simulation studies show that Grace-AKO has better performance in finite-sample FDR co

35 We apply Grace-AKO to the prostate cancer data in The Cancer Geno

36 The independent mass change from GRACE amounts to 2.78 +/- 0.6 mm/year for this region, w

37 Bola Grace and colleagues argue that using digital health tec

38 es the long-term trends, as confirmed by the GRACE and GRACE-FO missions for 2002-2022.

39 Gravity Recovery and Climate Experiment (GRACE) and global positioning system (GPS) observations

40 the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GFO) satellites.

41 the Gravity Recovery and Climate Experiment (GRACE) and GRACE-Follow On (GRACE-FO) satellites(13).

42 5D) Gravity Recovery and Climate Experiment (GRACE) and its Follow-On (GRACE-FO) satellite solutions

43 and errors relating to removing longitudinal GRACE artefacts ('destriping'), confine our estimate to

44 of Gravity Recovery And Climate Experiment (GRACE)-based ocean mass trend and, in addition, places a

45 Since GHDI is GRACE-based and has minimal dependence of hydrological p

46 ates (US) from 2003 to 2012, and establish a GRACE-based Hydrological Drought Index (GHDI) for drough

47 nhibition of the transactivation activity of GRACE by LID under low glucose concentration and reversa

48 of TCGA, CCLE, and NCI60 data sets show that GRACE can improve our understanding of how a transcripti

49 the end of the sentence, "On a monthly basis GRACE can resolve TWS changes with sufficient accuracy o

50 patients in a manner that is additive to the GRACE clinical risk factors, troponin, and hs-CRP, possi

51 From the GRACE CNES/GRGS series of time variable geoid models, we

52 onal genomics resource in this pathogen (the GRACE collection) by 866 genes.

53 the Gravity Recovery and Climate Experiment (GRACE) conducted from April 2002 to April 2006 to provid

54 Water Storage Deficit Index (TWSDI) based on GRACE data has been widely used for characterizing droug

55 ver, challenging because of uncertainties in GRACE data processing.

56 The GRACE data were compared with ~ 3300 flood events report

57 spatial filtering and limited resolution of GRACE data, the estimated total ice melting rate over Gr

58 onths (from August 2002 to December 2010) of GRACE data, we estimate a continent-wide ice-mass change

59 directly infer the ocean mass trend based on GRACE data.

60 a global, simultaneous inversion of monthly GRACE-derived satellite gravity fields, from which we ca

61 or 2003-2015 using the annual variability in GRACE-derived total water storage for 18 major watershed

62 (1.08 +/- 0.3 mm/y) is smaller than previous GRACE estimates (up to 2 mm/y), but it is consistent wit

63 GRACE estimates in southeast Greenland suggest accelerat

64 ird to a half of the most recently published GRACE estimates, which cover a similar time period but a

65 ng on the test case considered, the model by Grace et al. offered superior predictions (MAPE < 6% for

66 GRACE exploits biological a priori and heterogeneous dat

67 GRACES exploits latent relations between samples with va

68 rmance on patients who have values for the 8 GRACE features plus any subset of the 11 non-GRACE featu

69 GRACE features plus any subset of the 11 non-GRACE features.

70 g-term trends, as confirmed by the GRACE and GRACE-FO missions for 2002-2022.

71 limate Experiment (GRACE) and its Follow-On (GRACE-FO) satellite solutions to enhance the detection o

72 mate Experiment (GRACE) and GRACE-Follow On (GRACE-FO) satellites(13).

73 Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GFO) satellites.

74 Continuous monitoring of storage change from GRACE Follow-On gravity measurements provides important

75 g of the peak floodplain storage observed by GRACE Follow-On.

76 on Gravity Recovery and Climate Experiment (GRACE) Follow-On spacecraft detected the peak water stor

77 Recovery and Climate Experiment (GRACE) and GRACE-Follow On (GRACE-FO) satellites(13).

78 imentation, we developed an algorithm called GRACE (Gene Regulatory network inference ACcuracy Enhanc

79 lysis using a newly developed program dubbed GRACE (geometric real-space analysis of crystal epitaxy)

80 at erroneous corrections for GIA contaminate GRACE/GFO estimates as time goes forward.

81 ive symptoms), revascularization status, and GRACE (Global Registry of Acute Coronary Events) dischar

82 NSTE-ACS; and 2) its additive value over the GRACE (Global Registry of Acute Coronary Events) risk sc

83 ttendance at cardiac rehabilitation, and the GRACE (Global Registry of Acute Coronary Events) risk sc

84 scores improve the predictive ability of the GRACE (Global Registry of Acute Coronary Events) risk sc

85 elevation myocardial infarction (NSTEMI) and GRACE (Global Registry of Acute Coronary Events) score >

86 time to PCI, post-PCI myocardial perfusion, GRACE (Global Registry of Acute Coronary Events) score,

87 Adjustments were made for GRACE (Global Registry of Acute Coronary Events) score,

88 GRACE (Global Registry of Acute Coronary Events) scores

89 yses were conducted using the well validated GRACE (Global Registry of Acute Coronary Events) variabl

90 We use NASA GRACE/GRACE-FO data to show that the continents have und

91 re, Gravity Recovery And Climate Experiment (GRACE) gravity observations and sea-level anomalies from

92 ttington Hospital, 207 (13%) at the Princess Grace Hospital, 12 (1%) at the Wellington Hospital and 1

93 vels of "accuracy." Our findings support the Grace hypothesis.

94 According to the "Grace" hypothesis, honesty results from the absence of t

95 DI is established to represent the extent of GRACE-inferred TWS anomaly departing from its historical

96 GRACE-inferred TWS exhibits opposite patterns between no

97 r, for patients who are relatively low-risk (GRACE<=87), RLRVI had an AUC and Hazard Ratio of 0.754 a

98 hrt Gravity Recovery and Climate Experiment (GRACE mission) observations.

99 ses from the Gravity and Climate Experiment (GRACE) mission but at much higher resolution.

100 ty satellite data, provided by the CHAMP and GRACE missions.

101 finite-sample FDR control than the original Grace model.

102 Resources for Assessment and Care of Elders (GRACE) model, Guided Care, and the Program of All-inclus

103 The GRACE observations provide evidence of crustal dilatatio

104 ght monitoring and recovery assessment using GRACE observations, providing useful information about v

105 hropogenic and climatic-driven components of GRACE observations.

106 Gravity Recovery and Climate Experiment (GRACE) observations provide information on Total Water S

107 d 6.27, respectively, vs. 0.688 and 2.46 for GRACE, (p < 0.007).

108 lies of Antarctic ice mass change during the GRACE period (2003-2017).

109 mpare the initiation of ASMs within a 45-day grace period (treatment arm) with no initiation of ASMs

110 consecutive days identified during a 6-month grace period after baseline.

111 n institutional practice patterns; and (4) a grace period approach to determine the effectiveness of

112 bability of treatment weighting analysis and grace period approaches, treatment with percutaneous mic

113 ently used by researchers, but the impact of grace period decisions on bias from exposure misclassifi

114 Further, including a grace period for each object dispensing may unintentiona

115 This "grace period" may serve as a modifying factor in the epi

116 rials: one for each day of a 5-day treatment grace period.

117 Grace periods (periods assuming continued treatment impa

118 ts into chronic and new users, incorporating grace periods for dose stabilization, with particular at

119 h bias, we recommend (1) avoiding the use of grace periods when specifying object drug exposure episo

120 liana developmental gene regulatory network, GRACE recovers cell cycle related regulatory mechanisms

121 -2013, proportions with intermediate to high GRACE risk decreased (87.2% vs 82.0%); proportions with

122 lence of cardiometabolic risk factors in all GRACE risk groups.

123 However, whilst the GRACE risk model was well calibrated in White patients (

124 changed when adjusted additively by baseline GRACE risk score (HR, 0.975 [95% CI, 0.972-0.977]; AMR/1

125 ve value of continuous hs-cTn T and modified GRACE risk score compared with the original GRACE risk s

126 The GRACE risk score for White [AUC 0.87, 95% confidence int

127 y of the extent of myocardial injury, in the GRACE risk score improved the mortality risk prediction

128 erior performance compared with the original GRACE risk score in terms of reclassification and discri

129 The GRACE risk score provided good discrimination overall fo

130 pooled population of 9450 patients, modified GRACE risk score showed superior performance compared wi

131 The performance of the GRACE risk score was estimated by discrimination [area u

132 Baseline demographics, clinical risk (GRACE risk score), and pharmacological and invasive coro

133 GRACE risk score compared with the original GRACE risk score.

134 GRACE risk scores increased over time for both sexes wit

135 d with physician-estimated risk but not with GRACE risk.

136 Global Registries of Acute Coronary Events (GRACE) risk score (GRS) to guide acute coronary syndrome

137 he Global Registry of Acute Coronary Events (GRACE) risk score, a guideline-recommended risk stratifi

138 We show GRACE's potential to produce high confidence regulatory

139 GRACE's sensitivity to the long spatial wavelength of gr

140 freshwater flux from Greenland using updated GRACE satellite data, present new flux estimates for hea

141 otal water storage anomalies (TWSA) from the GRACE satellite mission and water surface elevations fro

142 arly two decades of observations from NASA's GRACE satellite missions and show that the rate of groun

143 rom Gravity Recovery and Climate Experiment (GRACE) satellite data are dominated by significant uncer

144 rom Gravity Recovery and Climate Experiment (GRACE) satellite data.

145 the Gravity Recovery and Climate Experiment (GRACE) satellite mission, robustly isolates the gravity

146 the Gravity Recovery and Climate Experiment (GRACE) satellite mission, we estimate ice mass changes o

147 the Gravity Recovery and Climate Experiment (GRACE) satellite pair to characterize the hydrological d

148 the Gravity Recovery and Climate Experiment (GRACE) satellite to evaluate the sustainability of surfa

149 s of mass changes obtained from the orbiting GRACE satellites, form the basis for imaging the monthly

150 ith Gravity Recovery and Climate Experiment (GRACE) satellites and Argo profiling floats, it has been

151 win Gravity Recovery and Climate Experiment (GRACE) satellites have a geoid height accuracy of 2 to 3

152 Gravity Recovery and Climate Experiment (GRACE) satellites have been emerging as a powerful tool

153 The Gravity Recovery and Climate Experiment (GRACE) satellites observed a +/-15-microgalileo gravity

154 the Gravity Recovery and Climate Experiment (GRACE) satellites showed that these models reasonably re

155 the Gravity Recovery and Climate Experiment (GRACE) satellites using regression procedures and domina

156 the Gravity Recovery And Climate Experiment (GRACE) satellites, with rates reaching 20 cm yr(-1) and

157 In this post hoc analysis, patients with a GRACE score >140 were categorized into 3 groups accordin

158 (>24 hours) CAG in patients with NSTEMI with GRACE score >140 with ischemic outcomes.

159 studies that did not use clinical criteria (GRACE score <140 and pain-free) compared with studies th

160 reclassification compared with the original GRACE score (in-hospital mortality: area under the recei

161 The GRACE score added to clinician intuition improved discri

162 We calculated the GRACE score for in-hospital mortality and assessed ethni

163 y significant, improvement over the standard GRACE score on both datasets.

164 k by physician estimation, increased risk by GRACE score was associated with higher mortality (3.7% v

165 The GRACE score was superior to physician estimation (c stat

166 perior to physician estimation (c statistic: GRACE score, 0.812 [95% confidence interval, 0.772-0.851

167 ar ejection fraction, diabetes mellitus, and GRACE score, ETA </=0.19 ms was associated with a hazard

168 When CTSS was added to the GRACE score, it conferred significant discrimination and

169 n fraction, increased respiratory rate, high GRACE score, or presence of diabetes mellitus, patients

170 tified 19 features, 8 of which appear in the GRACE score.

171 ification of patients with NSTE-ACS over the GRACE score.

172 an global registry of acute coronary events (GRACE) score 115 (standard deviation 35)) were randomise

173 he Global Registry of Acute Coronary Events (GRACE) score was developed to evaluate risk in patients

174 he Global Registry of Acute Coronary Events (GRACE) score was developed to evaluate risk in patients

175 ge Global Registry of Acute Coronary Events (GRACE) score was used to calculate an individual risk sc

176 he Global Registry of Acute Coronary Events (GRACE) score were derived from predominantly Caucasian p

177 g, Global Registry of Acute Coronary Events [GRACE] score) for death, death/myocardial infarction, an

178 ProSP-adjusted GRACE scores reclassified patients significantly (overal

179 PENK-adjusted GRACE scores reclassified patients significantly (overal

180 on 12), 69% were male, and the mean baseline GRACE scores were 119.5 (standard deviation 31.4) and 12

181 ProSP levels with GRACE scores were independent predictors of 6-month deat

182 , or HF, and they improve risk prediction of GRACE scores, predominantly by down-classifying risk in

183 ors of 6-month death and/or MI compared with GRACE scores.

184 h-risk groups and improve risk prediction of GRACE scores.

185 nd Global Registry of Acute Coronary Events (GRACE) scores as comparators and to identify levels that

186 GRACE scoring was used for comparisons with PENK for the

187 . CoDE-ACS, MI3) and prognosis (e.g. PRAISE, GRACE, SEX-SHOCK scores) of ACS, along with their implic

188 ri information to refine spatial patterns of GRACE signals that could be more useful in groundwater r

189 We demonstrate that GRACES significantly outperforms other feature selection

190 findings show the promising potential of 5D GRACE solutions, which are still in the development phas

191 GRACE Terrestrial Water Storage (TWS) provides unique an

192 na conditions, consistent with trends in the GRACE terrestrial water storage data.

193 olicy makers must make use of this period of grace to assess alternative sources of energy and determ

194 ression Analysis of Coordinated Expression" (GRACE) to adjust for the effect of SCNA in co-expression

195 the Gravity Recovery and Climate Experiment (GRACE) to estimate terrestrial water storage (TWS) chang

196 RAph Convolutional nEtwork feature Selector (GRACES)-to select important features for HDLSS data.

197 However, GRACE-TWS records are relatively short for long-term hyd

198 GRACE uses a novel optimization scheme to integrate regu

199 t in-hospital mortality were informed by the GRACE variables and developed in sex-disaggregated data

200 he Global Registry of Acute Coronary Events (GRACE) we trained a logistic regression model using thes

201 Grace-AKO for graph-constrained estimation (Grace), which incorporates aggregation of multiple knock

202 ugh planarians experienced a brief fall from grace, with the advent of molecular tools, planarians, s