Sentence examples for using a standard diagnostic from inspiring English sources

Exact(4)

The RNA was prepared both manually and by robot, then the FMDV RNA was quantified in each preparation using a standard diagnostic real-time RT-PCR assay [8].

In India, patients are evaluated for TB using a standard diagnostic algorithm, starting with sputum-smear microscopy examinations for persons suspected of TB.

All index patients were evaluated using a standard diagnostic protocol including neurological examination, neuropsychological testing, biochemical analyses, EEG and neuroimaging.

However, the clinical utility of detecting breath CO2 kinetics using a standard diagnostic infrared CO2 breath analyzer between individuals with NGT and those with PDED has not been clearly established.

Similar(56)

Plasma progesterone was measured in duplicate using a standard kit (Diagnostic Systems Laboratories Inc, Webster, TX) as described elsewhere [41].

The tuberculin skin test (TST) is used as a standard diagnostic tool to assess for infection with Mycobacterium tuberculosis (M.tb).

This is currently accomplished using a standard interview schedule of the Diagnostic and Statistical Manual [ 23], the Standard Clinical Inventory of Disorders – Patient version (SCID-P)[ 24].

Drug sensitivity of each cell line was calculated from the drug dose response curves obtained by using a standard MTT assay kit (Roche Diagnostics GmbH, Mannheim, Germany) and expressed as IC50 (drug concentration resulting in 50% inhibition of cell growth after 96 h of in vitro treatment).

Fasting blood glucose and the lipid profile (triglyceride, total cholesterol, high-, low- and very low-density cholesterol) were assayed by a photometer (Hitachi 917, Roche Diagnostics, Germany) using a standard method at the Diagnostic Center in HCMC.

Consistency is improved by the use of a standard diagnostic registry both within most veterinary practices in Sweden and when data is recorded in the insurance database.

Figure 3c shows a standard diagnostic used to identify data points that are not well fit by the model, and it does not indicate the presence of any overly problematic points in this case.

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