Sentence examples for multiple biomarkers to from inspiring English sources
The fornix provides multiple biomarkers to characterize circuit disruption in a mouse model of Alzheimer's disease.
Some researchers also used 18F-FDG-PET to analyze genetic information with multiple biomarkers to classify AD status, predicting cognitive decline or MCI to AD conversion [53, 54, 55].
The association between a greater number of elevated biomarkers and increased mortality after valve replacement was similar in the transcatheter and surgical AVR populations.These findings demonstrate the potential utility of multiple biomarkers to aid in risk stratification of patients with AS.
Frequently, the distributions of biomarker concentrations among two populations overlap to some degree, which creates the impetus to combine multiple biomarkers to achieve the most accurate diagnosis.
This is the first report on serial assessment of multiple biomarkers to identify changes associated with TST conversion in a recently MTB exposed cohort in a low HIV setting.
The fourth paper discussed application of multiple biomarkers to assess risk of corals.
In a typical application, a classification model is used to combine multiple biomarkers (predictors) to predict a binary outcome such as diseased/nondiseased, responders/non-responders to therapy, etc.
In this exploratory study we chose to include a sample size of 131 patients to be able to test multiple biomarkers at a reasonable cost and generate useful hypotheses for future research.
Net reclassification improvement (NRI) [ 40] was used to measure the additive value of measuring multiple biomarkers and to quantify improvement in performance over procalcitonin alone, which has previously been shown to be the best biomarker of SBI in Malawian children with signs of severe sepsis [ 29].
Therefore, it is expected that the use of multiple biomarkers leads to subdivision or merging of some SpolDB4 families.
Unlike previous studies, 12 which emphasised individual biomarkers, we performed a combined analysis of multiple biomarkers related to different pathogenesis pathways of type 2 diabetes.
