Sentence examples for insufficiency to predict from inspiring English sources

It is also noteworthy that some limitations exist in this approach, including the insufficiency to predict more restricted tissue-specific editing, the inadequacy to identify some true editing sites with 40-60% or >95% editing ratios, and inaccuracies in identifying non-clustered editing sites (about 47% experimental validation, Table  3).

We analyzed prognostic factors to predict renal insufficiency after partial or radical nephrectomy.

The sensitivity of a baseline cortisol ≤ 25 μg/dl associated with hemodynamic response to predict adrenal insufficiency was 83.3%95%5% confidence interval; 72.5 94).

Despite these limitations, to our knowledge, it is the first research that provides an applicable tool to predict postoperative renal insufficiency that could help risk stratification and treatment strategies selection.

The ability to predict which patients would develop renal insufficiency following RNU would be extremely useful.

Uterine artery Doppler analysis has the potential to predict pregnancy complications associated with uteroplacental insufficiency before the onset of clinical features.

Lindkvist et al. [ 23] reported significance of nutritional markers such as albumin, prealbumin, magnesium, HbA1C, and cholesterol to predict the probability of pancreatic exocrine insufficiency.

Through using the training cohort, multivariate models were developed to predict acute respiratory distress syndrome, renal insufficiency, hepatobiliary dysfunction and disseminated intravascular coagulation, as defined according to established criteria.

This observation reflects the substantial insufficiency of using HER2 gene amplification or HER2 protein overexpression to predict patient responsiveness to Herceptin.

Although NGAL was associated with progression of CKD after kidney injury in a few reports [ 130– 133], an analysis from the Chronic Renal Insufficiency Cohort (CRIC) questioned its role as a useful biomarker to predict progression [ 134].

Based on the user's recent monthly Internet data budget usage behavior, we explore a time series analysis method to predict the future Internet data budget plan so that insufficiency or wastage of bandwidth can be avoided.