Sentence examples for predictions of developing from inspiring English sources

It allows for predictions of developing laminar flows hydrodynamics and mass transfer of aqueous solutions in slits with permeable walls.

We have successfully implemented NOD2/CARD15 HRMA assays, which may contribute to the development of genetic profiles for risk prediction of developing CD and for differential diagnosis of CD vs. UC.

For prediction of developing metachronous MPC, we tried to generate a nomogram based on Cox regression.

Therefore, this review focuses on the prediction of developing AKI in adult critically ill patients.

Figure  3B illustrates different risk categories of the 30-year prediction of developing general cardiovascular disease calculated with the Framingham risk score at current age.

Table  2 shows the area under de curves (AUC's) for the prediction of developing AKI for each individual biomarker at the different time points.

Therefore, it seems reasonable to perhaps shift our views and using biomarkers together with other parameters such as traditional clinical characteristics to optimize the accuracy of prediction of developing AKI might be an interesting option.

Figures  2A and B show the risk percentages of developing general cardiovascular disease within 10 years and the different risk categories of the 10-year prediction of developing general cardiovascular disease calculated with the Framingham risk score of hypertensive term pregnancy women and normotensive term pregnancy women after extrapolation of their age to 60 years.

Quantitative measures of BPE and FGT are different before and after RRSO, and their relative changes are associated with prediction of developing breast cancer, potentially indicative of women who are more susceptible to develop breast cancer after RRSO in BRCA1/2 mutation carriers.

To validate and illustrate the utility of pathway activation predictions for developing hypotheses about pathways that function in tumor progression, we identified models with clear pathway activity predictions.

In addition, they showed that model predictions of the risk of developing late complications were more accurate than HbA1c predictions.