Sentence examples for clinically usable from inspiring English sources

Furthermore, due to variable interobserver agreement, insufficient correlation with MGMT promoter methylation status and the lack of a firm association with patient outcome [ 20, 29, 103], MGMT IHC has not proved to be a clinically usable biomarker for routine diagnostic purposes and clinical decision-making.

However, the intent of the manuscript was to show a clinically usable approximation between NECR and image quality.

Here, we redirected continuously expanding and clinically usable established human NK-92 cells to the tumor-associated ErbB2 (HER2) antigen.

This is also why the transferability of our results is not of a quantitative but rather qualitative nature, which is thought to be clinically usable and useful.

Clinically usable tissue-engineered constructs are currently limited due to their inability of forming microvascular networks necessary for adequate cellular oxygen and nutrient supply upon implantation.

We evaluated a third-generation high sensitivity "guidelines acceptable" troponin I assay (hs-cTnI) against a contemporary "clinically usable" troponin assay (cTnI).

GG, calculated as an average over several years' measurements (5), is evidently not usable clinically.

We also collected data in the use of other information resources, which are probably more clinically oriented and more usable for practical clinical information.

To date, no reviews have been published exploring the psychological impact of pregnancy on body image as identified in the qualitative literature, and no attempt has been made to collate the existing literature into a usable basis for clinically relevant guidance.

Hyland et al. [ 39] have shown that venography is able to identify clinically occult veins which may be usable for AVF formation, a conclusion which is supported by Patel et al. [ 40] who found that while this imaging modality can identify a greater number of suitable veins, paradoxically, the combined use of DUS and venography was associated with a decreased AVF maturation rate.

To translate our glioma classification system into a clinically useful application that is readily usable by clinicians and other statistically and computationally naïve users, we implemented GliomaPredict, a computational tool that allows anyone to reliably predict the subtype of a new glioma patient utilizing his/her tumor gene expression profile.