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Therefore, the next challenge in modeling will be to incorporate ubiquitinylation control into the existing models of death receptor signaling.
Within the last decade, a number of mathematical models of death receptor signaling were created that changed the understanding of the extrinsic apoptosis.
Some predictive models of death for community dwelling elderly patients have been published, that use either self-reported data [ 32] or clinical data [ 11, 17].
Creation of mathematical models of death receptor signaling led to an enormous progress in the quantitative understanding of the network regulation and provided fascinating insights into the mechanisms of apoptosis control.
An important contribution to the understanding of the extrinsic apoptotic pathway was the development of Boolean models of death receptor signaling, which allowed to understand the mechanism of the crosstalk between TNF-R and CD95 stimulation in hepatocytes on a larger scale.
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Since then, there have been considerable theoretical efforts on modeling and systems analysis using ODE models of death-receptor mediated apoptosis [ 17, 18, 26, 27], mitochondria-mediated apoptosis [ 28, 29], or integrated extrinsic and intrinsic apoptosis pathways [ 15, 30- 34].
For secondary outcome, Cox regression model will be applied to building the prediction model of death.
We aimed to develop and validate a risk prediction model of death for injured and Traumatised Thai children.
The Health Assessment Questionnaire HAQQ) was based on a hierarchical model of death, disability, discomfort, drug toxicity and dollar cost [ 39].
In the second model, namely, the obstetric model of death, time is measured on the scale of gestational age with fetuses censored at birth or death.
Since hospital admission was identified as a risk factor for death, we went further and built a predictive model of death for that sub-group of patients.
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