Sentence examples for modeling we predicted from inspiring English sources

Using computational modeling, we predicted the dosimetric impact of post-treatment 90Y PET/CT-guided percutaneous ablation of the portions of a tumor receiving the lowest absorbed dose.

Using an integrated approach, including network modeling, we predicted that this gene signature is causally associated with adiposity phenotypes.

Using computational modeling, we predicted for the first time the intrinsic the structural conformations and features of each ALDH enzyme involved in biological pathways.

Third, using structural equation modeling we predict that Cd44 as the most likely candidate gene for our previously reported QTL and identify several genes predicted to be downstream of Cd44.

To show the different predictions from these models we predicted the change in body weight during total starvation for an obese 100 kg, 1.64 m tall female aged 35 (BMI=35.2).

After estimating the probit model, we predicted the propensity scores and the common support region.

Applying the CFD model, we predicted the local yielding rate of nanotubes along the axis of the reactor.

By simulating the osteotomy on a 3D model, we predicted the movements of the cut chin bone and used these data to 3D-print a surgical guiding device.

Without other adjustments to the model, we predicted the correct stress levels in the free and channel-die compression experiments as well as values of Lankford coefficients.

In summary, using in silico TLR4 model we predicted and experimentally validated the enhancement of TRAM-dependent pathways due to SFR in the removal of MyD88 and TRAF6.

To explore how normalization would affect the performance of the two models, we predicted target concentrations using GLAM, but beginning with the quantile normalized signal intensities used by Abdueva et al. [4] (Figure S1).