Gradient method for finding optimal scheduling in infinite dimensional models of chemotherapy.
Model based analysis of signaling pathways
The paper is concerned with application of mathematical modeling to the analysis of signaling pathways. Two issues, deterministic modeling of gene transcription and model-driven discovery of regulatory elements, are dealt with. First, the biological background is given and the importance of the stochastic nature of biological processes is addressed. The assumptions underlying deterministic modeling are presented. Special emphasis is put on describing gene transcription. A framework for including...
Coupled analytical and numerical approach to uncovering new regulatory mechanisms of intracellular processes
The paper deals with the analysis of signaling pathways aimed at uncovering new regulatory processes regulating cell responses. First, general issues of comparing simulation and experimental data are discussed, and various aspects of data normalization are covered. Then, a model of a particular signaling pathway, induced by Interferon-β, is briefly introduced. It serves as an example illustrating how mathematical modeling can be used for inferring the structure of a regulatory system governing the...
Different models of chemotherapy taking into account drug resistance stemming from gene amplification
This paper presents an analysis of some class of bilinear systems that can be applied to biomedical modelling. It combines models that have been studied separately so far, taking into account both the phenomenon of gene amplification and multidrug chemotherapy in their different aspects. The mathematical description is given by an infinite dimensional state equation with a system matrix whose form allows decomposing the model into two interacting subsystems. While the first one, of a finite dimension,...
Sensitivity Analysis Aimed at Finding Potential Molecular Drug Targets
Sensitivity analysis has become one of the standard tools in analysis of models of intracellular processes. Various methods have been proposed, developed for either local or global sensitivity of systems under investigation. In this work, we propose a method that may be used to find potential molecular drug targets, taking into account heterogeneity of population of cells with respect to their responses to a particular drug agent.
Prediction of lung cancer patients’ response to combined chemo-radiotherapy using a personalized hybrid model
The paper presents a novel approach to the prediction of the combined therapy outcome for non-small lung cancer patients. A hybrid model is proposed, consisting of two parts. The first one is a mathematical model of tumor response to therapy, whose parameters are expressed as linear function of data from massspectrometry of patient blood plasma samples. These linear functions constitute thesecond component of the hybrid model. A comparison of clinical and simulation-based survival curves is used...
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