Sentence examples for models for lung from inspiring English sources

This review will discuss the approaches to the generation of mouse models for lung cancer.

We review the commonly used preclinical models for lung cancers and evaluate their strengths and weaknesses.

Models for lung and any cancer were additionally adjusted for smoking duration (in years).

Xenograft models for lung cancer have advantages and disadvantages in comparison with classic transgenic and conditional murine models.

There is a considerable interest to refine prognostic models for lung cancer by gene expression signatures and whole genome sequencing [ 25, 26].

Here, we present the performance of the GEMM-ESC approach based on three different GEMMs, two models for lung cancer and one for mesothelioma.

PK/PD modeling for lung delivery.

For instance, a recent CAD system [3] designed for identifying lung nodules uses an active shape model for lung field segmentation, followed by a weighted multi-scale convergence-index filter for nodule candidates detection.

The following topical areas were explored as refinements to address the differences/similarities between the GI and the lung: Lung permeability and transport The role of fluid mechanics in pulmonary drug deposition Particle dissolution in the lung and in vitro testing as applicable to lung particle dissolution PK/PD modeling for lung delivery.

Although MDDC are not primary human DC, DC derived from primary human monocytes represent an appropriate model for lung DC, since monocytes give rise to myeloid DC in the resting lung [31] as well as to mucosal DC [32].

We have used a similar approach in our case control study design and analysis, and show how genetic variants previously showing small effects on lung cancer risk can be combined in an algorithm with other known risk factors to derive a risk model for lung cancer.