2018
DOI: 10.1002/pamm.201800323
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Modelling of lung‐metastases apoptosis within brain tissue

Abstract: Apoptosis, a form of programmed cell death, can be induced in lung-cancer cells by treatment with death-receptor ligands. In this contribution, the coupled multiphasic process is described using a continuum-mechanical model based on the Theory of Porous Media. Furthermore, the data-enriched model incorporates the crucial apoptosis parameters, which are estimated via the maximum likelihood estimation based on cell-culture experiments.

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Cited by 1 publication
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“…The parameter estimation is based on maximising the likelihood of the error log(ε) = log(y data ) − log(ȳ simu ), such that the simulation resultȳ simu given by the parameters resemble the experimental dataȳ data , cf. [4]. For the introduced apoptotic cellular pathway model, all kinetic reaction parameters are optimised.…”
Section: Modelling Approachmentioning
confidence: 99%
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“…The parameter estimation is based on maximising the likelihood of the error log(ε) = log(y data ) − log(ȳ simu ), such that the simulation resultȳ simu given by the parameters resemble the experimental dataȳ data , cf. [4]. For the introduced apoptotic cellular pathway model, all kinetic reaction parameters are optimised.…”
Section: Modelling Approachmentioning
confidence: 99%
“…For the introduced apoptotic cellular pathway model, all kinetic reaction parameters are optimised. Furthermore, these results are compared to the model introduced in [4], which only differentiates in the metastases decline which consists of a constitutive logarithmic density production termρ SC ⊖ = n ST ρ SR (µ SC init ⊖ + c ID m µ SC max ⊖ ). Hereby, µ SC init ⊖ represents an initial apoptosis rate, while a maximum rate µ SC max ⊖ is related to the drug concentration.…”
Section: Modelling Approachmentioning
confidence: 99%
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