Early detection, clinical management and disease recurrence monitoring are critical areas in cancer treatment in which specific biomarker panels are likely to be very important in each of these key areas. We have previously demonstrated that levels of alpha-2-heremans-schmid-glycoprotein (AHSG), complement component C3 (C3), clusterin (CLI), haptoglobin (HP) and serum amyloid A (SAA) are signif...

This investigation was carried out to evaluate the bioavailability of a new suspension formulation of cefixime (100 mg/5 ml), Winex, relative to the reference product, Suprax (100 mg/5 ml) suspension. The bio-availability study was carried out in 24 healthy male volunteers who received a single oral dose (200 mg) of the test (A) and the reference (B) products on 2 treatment days after an overni...

For a continuous-scale diagnostic test, the most commonly used summary index of the receiver operating characteristic curve (ROC) is the area under the curve (AUC) that measures the accuracy of the diagnostic test. In this article, we propose an empirical likelihood (EL) approach for the inference on the AUC. First we define an EL ratio for the AUC and show that its limiting distribution is a s...

AUC provides a matrix-free environment that allows the near-native state characterization of a wide range of molecules. Our recently launched Optima AUC is the only commercially available instrument equipped with a state of the art optical system. Here, the new Optima AUC was compared to the ProteomeLab and tested to demonstrate higher resolution, accuracy, better data fitting and precision at ...

The Area Under the ROC Curve (AUC) has been recognised as a very robust measure for classification evaluation. Recent efforts have focussed on modifying existing algorithms to improve their AUC or even to use AUC as a search criterion [6]. In this paper, we suggest the possibility that we could improve the AUC of existing models and techniques, without changing the techniques or retraining the ...

The bioavailability and metabolism of cyclosporine A (CsA) capsules were compared with two bioequivalent (Food and Drug Administration approved) preparations in rats. Two groups of Wistar-Kyoto rats were given 10 mg/kg q.d. of Sandimmun Neoral (NEO), Novartis Pharma, and CsA (United States Pharmacopeia modified), Eon Labs (EON), as capsules dissolved in water by oral gavage. After reaching stea...

Area under the ROC curve, a.k.a. AUC, is a measure of choice for assessing performance classifier imbalanced data. AUC maximization refers to learning paradigm that learns predictive model by directly maximizing its score. It has been studied more than two decades dating back late 90s, and huge amount work devoted since then. Recently, stochastic big data deep (DAM) have received increasing att...

The Area under the ROC curve (AUC) is a good alternative to the standard empirical risk (classification error) as a performance criterion for classifiers. While most classifier formulations aim at minimizing the classification error, few methods exist that directly optimize the AUC. Moreover, the reported methods that optimize the AUC are often not efficient even for moderately sized datasets. ...