Sentence examples for multiple biomarkers from from inspiring English sources

The ability to detect multiple biomarkers from the same sample allows for better diagnoses, more efficient testing, and lower volumes of sample required.

Biochip array technology allows multiplex determination of multiple biomarkers from a single sample [ 16, 17].

It may be expected that the most detailed prognostic classification will result not from one, but rather from a panel of multiple biomarkers from this list.

The actual screening efficiencies demonstrated in the blind test set indicate that those multiple biomarkers from MALDI-TOF MS of serum N-glycans were useful for the screening of the ovarian cancer patients, particularly at the early stages.

We applied combinatorial approaches [ 17], using information provided by clinical features, standard clinical laboratory tests and multiple biomarkers from distinct pathobiological pathways, to examine novel strategies to distinguish dengue from leptospirosis.

The improved performance of this model compared with that of single markers demonstrates the value of risk assessment models that incorporate multiple biomarkers from diverse pathophysiological pathways associated with type 2 diabetes.

To evaluate the multiple biomarkers developed from the training sets, a blind test of 60 unknown samples was performed.

Unique aspects of this study were that it (1) examined critically ill patients at high risk of developing AKI secondary to significant kidney hypoperfusion; (2) captured patients very soon after insult; and (3) measured multiple biomarkers repeatedly from the earliest practicable time point following insult.

It should be noted that not all papers demonstrate detection of multiple biomarkers using samples from body fluids, but rather focus on a single protein, sometimes present in a plain buffer.

Finally, companies marketing new biomarkers face different regulatory and re-imbursement processes from country to country, competition from multiple biomarkers, and the need for clinical studies to convince the medical community of the value of the new biomarker.

Here we propose to apply a hierarchical Bayesian change-point model to jointly study the features of time series from multiple biomarkers.