Sentence examples for a more sensitive predictive from inspiring English sources

To generate a more sensitive predictive model for outcomes of patients with gastric cancer, we combined ICN1 expression and TNM stage to create a prognostic score system.

Information from such studies may subsequently allow situational risk factors to be used in combination with age (which is the best performing factor in our data -weighted categories of risk from the condata -weightedrate a more sensitive predicategoriesl.

To develop a more sensitive predictive tool, we constructed a prognostic model combining the two independent prognostic factors, intratumoral GalNAc-T5 expression and TNM stage, and compared its prognostic validity with the intratumoral GalNAc-T5 expression alone and TNM stage alone models by means of receiver operating characteristic analyses.

In a future that is nearly upon us, those predictions will cover a wider range of illnesses, with greater and more sensitive predictive power.

Incorporation of more sensitive predictive and/or prognostic molecular factors could help physicians in patients' selection.

Hence, combined efforts in the industry and academia should be paid to define the animal models and assays that are the most valid for nonclinical immunotoxicity evaluation and to design more sensitive predictive models.

Therefore, instead of using the CHIEF-CET, an effort was made to determine whether the Physical/Structural subscale is a more sensitive and convenient predictive tool for ADL disability in the community-dwelling elderly in Taiwan.

This suggests that additional work is required to develop a more sensitive validated AKI-predictive tool that would be useful in this clinical setting.

Our results suggest that the sIgE/tIgE ratio is a more sensitive marker for prediction of onset of Japanese cedar pollinosis, compared with the serum sIgE titer, and this ratio might be a useful predictive marker for development of AR.

A more sensitive method to assess additive predictive ability applies likelihood ratio testing between models with and without additional risk factors.

However, whether L-FABP would be a more sensitive marker of DN than AER or whether its predictive role is solely confined to the progression of the disease process is not yet known.