Sentence examples for sensitive in predicting from inspiring English sources

Exact(23)

While Andreas Bender et al. illustrated that this type of approach is quite sensitive in predicting ADR, the positive predictive value is generally quite low, averaging under 0.5 [ 19].

Additional study is needed to determine whether this test is sensitive in predicting recurrence of pre-eclampsia or IUGR.

Koyner et al. [21] recently demonstrated that the 2-h urine output after a standardized high-dose intravenous furosemide injection (furosemide stress test; FST) was sensitive in predicting AKI progression to stage 3 in patients with early AKI.

Our study confirms the results from other studies that growth during certain age intervals in childhood are more sensitive in predicting overweight.

Here we demonstrate that hybridization of probes, generated from labeling of g-DNA, to rice whole genome expression array (Affymetrix) is quite sensitive in predicting SFP a priori of their sequence information.

The genetic toxicology testing battery has been designed to be highly sensitive in predicting chemical carcinogenicity.

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Similar(37)

SMART - cop score is the most sensitive score in predicting 28 day mortality in the studied patient followed by SMART - co and PSI score).

These chaperokines (HSPs), expressing innate-immunity, and targeted hormone-response receptors (hGR), seem to represent more sensitive biomarkers in predicting future events than simultaneously calculated or defined severity of illness scores and shock.

However, neither the low (1 μg) or conventional (250 μg) short ACTH tests are sensitive enough in predicting who will benefit from steroid therapy in sepsis, and the benefits of steroids may not be related to this 'relative' deficiency.

The ideal biomarker would be easy and safe to collect, easily measured and reproducible, highly sensitive and specific in predicting clinical outcome, and have a defined role in the pathogenesis of ARDS [15].

The indices proposed by the TF are not sufficiently sensitive or specific in predicting weaning outcome.

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