Sentence examples for modeling of tumor from inspiring English sources

Pharmacokinetic analysis and modeling of tumor TACs and IDIF was performed using in-house software, developed within MATLAB (MathWorks, Inc).

Over the last few years, taking advantage of the linear kinetics of the tumor growth during the steady-state phase, tumor diameter-based rather than tumor volume-based models have been developed for the phenomenological modeling of tumor growth.

While much experimental effort is being devoted to the identification of the functional effects of individual mutations, mathematical modeling of tumor progression generally considers constant fitness increments as mutations are accumulated.

Population modeling of tumor size dynamics has recently emerged as an important tool in pharmacometric research.

Mathematical modeling of tumor growth that includes the immune response and chemotherapy treatment would provide an analytical predictive framework.

These results are consistent with the colorectal cancer study (Petrova et al., 2008) and show how dynamic modeling of tumor progression can give insights that static analysis misses.

Integrative mathematical modeling of tumor-immune system interactions and immunotherapy treatment could provide an analytical predictive framework to address such questions.

Significant research has been done in the modeling of tumors using theoretical models and computer simulations in order to describe and predict various aspects of tumor growth kinetics (TGK).

In this work we present a new strategy for solving numerically a (relatively simple) model of tumor growth.

This article describes the application of a mathematical model of tumor response to radiotherapy.

To eliminate the variable of tumor heterogeneity from a novel in vivo model of tumor angiogenesis.