Sentence examples for implement in a clinical from inspiring English sources
An effective QA program should be practical to implement in a clinical setting.
Although sequences and postprocessing of images for T2 and T2* relaxation rate calculations are more difficult to implement in a clinical environment, this approach must be preferred to the simple signal-to-ratio determination in clinical trials.
It is found that data analyses require minimum manual data entry and, on average, are completed within 2 h from the time the myocardial positron emission tomography (PET) images are reconstructed, making these types of complex studies feasible to implement in a clinical PET environment.
In contrast, BOADICEA requires computation and is more difficult to implement in a clinical setting that is not familiar with risk prediction and genetic testing.
PCR-ELISA has merit with regard to its sensitivity, but is too time-consuming and expensive to implement in a clinical laboratory (Fig. 2).
The technique originally developed by Rhinn et al (2008), using fluorescence single-strand DNA detection with Oligogreen, seems a more specific way to normalise that seems not too difficult to implement in a clinical or research laboratory.
These improvements in radiographers' postural alternatives during mammography performance can reduce the risk of WRMSDs and for that reason should be implemented in a clinical context.
Consequently, the main goal was to develop a multiplex DNA-based assay which could easily be implemented in a clinical setting, while swiftly delivering a reliable ESBL-status for Enterobacteriaceae isolates.
This implies that all 44 mutant alleles/42 unique mutations (see Materials and Methods) could be genotyped accurately and thus be implemented in a clinical assay.
Future work with this tool could involve implementing in a clinical care setting a system loaded with the associations to provide real-time suggestions to clinicians to determine the utility of the suggestions.
Before being implemented in a clinical setting, response biomarkers must first be fully characterized and validated in large sample sets.
