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Diagnostics that are capable of detecting multiple biomarkers are improving the accuracy and efficiency of bioassays.
Larger prospective studies of single or panels of multiple biomarkers are necessary with standardised methodology.
Multiple biomarkers are being evaluated for the non-invasive diagnosis of NASH.
The large number of biological processes that may underlie the pathogenesis of complex diseases such as cardiovascular disease, cancer and dementia predict that multiple biomarkers are needed to capture the diversity.
Although a number of biomarkers including albumin, platelets, hyaluronic acid and AST have been evaluated, there is currently no single marker which successfully predicts significant fibrosis in HBV-related liver disease, and multiple biomarkers are needed to complement clinical data [ 7].
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The performance of multiple biomarkers was found to be better than that of individual biomarkers.
Multi-spectral detection capability, enabling concurrent examination of multiple biomarkers, is essential in modern flow cytometry.
However, a limited set of multiple biomarkers is usually employed in most of the studies.
The integration of multiple biomarkers is thought to improve the estimation of the course of cardiovascular diseases [ 20], although this assumption has been questioned [ 21].
In addition, the detection of multiple biomarkers is a condition precedent to calculate ratios that could strengthen interpretation of changes according to airway diseases.
In the diagnosis and prognosis of RA, measurement of a single biomarker is not sufficiently sensitive or accurate, and individual measurement of multiple biomarkers is labor intensive and therefore expensive.
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