Sentence examples for with the sensitivity to detect from inspiring English sources

Analytical methods are then developed with the sensitivity to detect the leachables in the drug product at the threshold determined by the toxicity of the leachable.

Another MRI-based technique, arterial spin labeling (ASL), provides noninvasive, quantitative indices of cerebral blood flow (CBF) with the sensitivity to detect "tonic" states over the course of minutes [Aguirre et al., 2002]; thus, ideally suitable for examining persistent or on-going pain.

To account for these empirical limitations of cellular composition on the observed expression differences between the X and autosomes, we developed a Bayesian statistical framework based on the relative difference between the spermatogenesis stages (mitosis compared to meiosis) and with the sensitivity to detect down regulation on the X-chromosome during the meiotic phase [ 25].

Detectors such as aLIGO/VIRGO, LISA, and pulsar timing observations with SKA and EPTA have the sensitivity to detect such signals.

The method has a very large sensitivity but low specificity with small sample sizes – we showed (Sebastiani et al, 2006) that with 20 samples per group, the sensitivity to detect a fold change of 2 or larger can be 100%, but specificity can be <70%.

A comparison was not made in this study of the sensitivity to detect tumour with the endovaginal coil compared with external array imaging only.

For longitudinal imaging within a trial or indeed for clinical follow-up, the focus is elsewhere, with more emphasis on repeatability and the sensitivity to detect change.

Susceptibility-weighted imaging has considerably increased microbleed detection rates compared with gradient echo sequences [ 75] although the sensitivity to detect microbleeds is also dependent on slice thickness and magnetic field strength.

In contrast, Illumina sequencing has the power to detect small differences in expression but lacks the sensitivity to detect genes with very low transcript levels (unless a very deep coverage is used).

This suggests that microarray experiments performed with RNA from whole head tissues lack the sensitivity to detect many gene expression changes in brain tissues.

Combined with the poor sensitivity to detect subtle changes in QOL, these results indicate that generic preference-based instruments may not be appropriate for comparing cancer treatments.