<p>Values for mathematical model input parameters are initially calibrated from experimental data obtained from untreated subjects and cell culture, yielding blood volume fraction, diffusion penetration distance, radius of blood sources, and fraction of cells killed in culture. Based on these parameter values, the model then calculates the fraction of tumor volume that would be killed <i>in vivo</i>, which can be compared to experimental data obtained from treated subjects.</p
<p>(<b>A</b>) Heatmap depicting average probability of tumor survival with respect to modeling param...
Using models to simulate and analyze biological networks requires principled approaches to parameter...
<p>(<b>A</b>) Functional relationships involving cell-scale parameters such as proliferation (Ki-67)...
<p><b>A</b>: Best fit of the model predictions (lines) to experimentally determined cell fractions a...
Computational and mathematical modelling has become a valuable tool for investigating biological sys...
In this work, a method is established to calibrate a model that describes the basic dynamics of DNA...
(A) Drug release profiles for gemcitabine with 3% alginate 15% PCL were measured by placing the gemc...
In this work, a method is established to calibrate a model that describes the basic dynamics of DNA ...
Fig 3A shows an example of temporally resolved IncuCyte images used for determining the tumor and en...
In this work we present a pedagogical tumour growth example, in which we apply calibration and valid...
Mathematical models are a core component in the foundation of cancer theory and have been developed ...
In this work, we present a pedagogical tumour growth example, in which we apply calibration and vali...
Background: Mathematical modeling is being applied to increasingly complex biological systems and da...
In this article our objective was to calibrate model of Circulating Tumor Cell (CTC). Different types...
<p>The figure shows the results of a mouse (<i>C4</i>) from control group (first row), and a mouse (...
<p>(<b>A</b>) Heatmap depicting average probability of tumor survival with respect to modeling param...
Using models to simulate and analyze biological networks requires principled approaches to parameter...
<p>(<b>A</b>) Functional relationships involving cell-scale parameters such as proliferation (Ki-67)...
<p><b>A</b>: Best fit of the model predictions (lines) to experimentally determined cell fractions a...
Computational and mathematical modelling has become a valuable tool for investigating biological sys...
In this work, a method is established to calibrate a model that describes the basic dynamics of DNA...
(A) Drug release profiles for gemcitabine with 3% alginate 15% PCL were measured by placing the gemc...
In this work, a method is established to calibrate a model that describes the basic dynamics of DNA ...
Fig 3A shows an example of temporally resolved IncuCyte images used for determining the tumor and en...
In this work we present a pedagogical tumour growth example, in which we apply calibration and valid...
Mathematical models are a core component in the foundation of cancer theory and have been developed ...
In this work, we present a pedagogical tumour growth example, in which we apply calibration and vali...
Background: Mathematical modeling is being applied to increasingly complex biological systems and da...
In this article our objective was to calibrate model of Circulating Tumor Cell (CTC). Different types...
<p>The figure shows the results of a mouse (<i>C4</i>) from control group (first row), and a mouse (...
<p>(<b>A</b>) Heatmap depicting average probability of tumor survival with respect to modeling param...
Using models to simulate and analyze biological networks requires principled approaches to parameter...
<p>(<b>A</b>) Functional relationships involving cell-scale parameters such as proliferation (Ki-67)...