Sentence examples for role of these models from inspiring English sources

Exact(4)

Thus, it is important to understand the role of these models as a complementary tool in a larger comprehensive preclinical drug discovery program.

Through a process of designing, training, and testing the aforementioned classifiers, we tried to investigate the potential role of these models to improve the accuracy of diagnosis.

At the same time, the important role of these models in developing a computerized decision making support systems for clinicians was discussed.

Most of the ICU prognostic models are based on variables recorded within 24 hours of ICU admission, and there is a paucity of data describing the role of these models in predicting the outcome of patients who survive their initial ICU stay.

Similar(56)

However, very few studies have been performed to establish comprehensive prediction methodology for concrete pumping, that is, there have been few studies investigating the role of these rheological models on determining the pipe flow of pumped concrete, more specifically, for the formation and material properties of lubrication layer.

It will be of great interest to test the role of these evolutionary models of Y degeneration using population genomic studies of the D. albomicans neo-sex chromosomes.

Thus, findings produced by using selective thermo-TRP antagonists may better unveil the role of these channels in models of pain diseases.

Testing the roles of these evolutionary models for the peanut genome will require extensive data on the expression of homoeologous genes.

The extended role of nurses in both of these models is striking, in particular their role as coordinator for the hospital site and for the clinical assessment of deteriorating patients.

As these are all key processes involved in demyelination, several recent studies have examined the role of these receptors in animal models of MS, as well as in the human disease.

The game also illustrates the role of climate models in assessing these changes and the difficulties of estimating probabilities with limited data.

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