Microbiologic samples sent.

<p>Microbiologic samples sent.</p

Receiver operator characteristic curve for final diagnostic model.

<p>AUC = area under the curve.</p

Typical output of the BreathSpec instrument using a breath sample from a confirmed bacterial infected patient.

<p>Typical output of the BreathSpec instrument using a breath sample from a confirmed bacterial infected patient.</p

Characteristics of study participants grouped by any bacterial infection (confirmed plus probable—Labelled “aggregate bacterial”) and all other participants.

<p>Categories for which statistical significance testing for between group differences yields p <0.05 are shown in bold. BP = blood pressure; NEWS = national early warning score; T = temperature; SpO2 = oxygen saturation %; Cr = creatinine; CRP = C reactive protein; CXR = chest x-ray.</p

Fabrication of 3‑Dimensional Cellular Constructs via Microstereolithography Using a Simple, Three-Component, Poly(Ethylene Glycol) Acrylate-Based System

A novel method for the production of inhibitor- and solvent-free resins suitable for three-dimensional (3D) microstereolithography is reported. Using an exemplar poly­(ethylene glycol)-based resin, the control of features in the <i>X</i>, <i>Y</i>, and <i>Z</i> planes is demonstrated such that complex structures can be manufactured. Human mesenchymal stem cells cultured on the manufactured scaffolds remained viable during the 7 day assessment period, with proliferation rates comparable to those observed on tissue culture polystyrene. These data suggest that this novel, yet simple, method is suitable for the production of 3D scaffolds for tissue engineering and regenerative medicine applications

Tissue Transglutamase (TTG) titres at time of specimen collection and Marsh scores at diagnosis.

<p>*HLADQ2+.</p><p>N.B. 2 patients did not have their Marsh scores available, both were established on long term gluten free diets and had a tTG titre of <1 kU/L at the time of urine collection.</p><p>Tissue Transglutamase (TTG) titres at time of specimen collection and Marsh scores at diagnosis.</p

Results of the machine learning analysis.

<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for three classification algorithms. The values are computed using a leave-one-out cross-validation. The 95% confidence intervals are shown in brackets. The sensitivities and specificities are determined from the ROC curve, selecting in each case a threshold that gives good values for both.</p><p>Results of the machine learning analysis.</p

Demographic data of subjects.

<p>Demographic data of subjects.</p

Raw FAIMS output for a Coeliac patient urine sample.

<p>Raw FAIMS output for a Coeliac patient urine sample.</p

Scatter plot of TTG serology vs classification probability for Coeliac cases.

<p>The classification probabilities are the probability of a given patient having Coeliac disease, as determined by the sparse logistic regression algorithm. The overall correlation of these points is 0.28. One outlying point with TTG>60 kU/L has been removed.</p