2022
DOI: 10.1007/16618_2022_39
|View full text |Cite
|
Sign up to set email alerts
|

A Unified Computational Model for the Human Response to Lipopolysaccharide-Induced Inflammation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 104 publications
0
1
0
Order By: Relevance
“…To support the convergence of the gradient‐based optimizer used to estimate identifiable model parameters, we further improved the nominal model fit to the peak magnitudes of cytokine profiles by scaling the peak cytokine concentrations as described in detail in Windoloski et al. ( 2023 ) and Windoloski ( 2023 ). Scaling analysis was applied to all simulations to capture mean and individual variation in cytokine responses.…”
Section: Methodsmentioning
confidence: 99%
“…To support the convergence of the gradient‐based optimizer used to estimate identifiable model parameters, we further improved the nominal model fit to the peak magnitudes of cytokine profiles by scaling the peak cytokine concentrations as described in detail in Windoloski et al. ( 2023 ) and Windoloski ( 2023 ). Scaling analysis was applied to all simulations to capture mean and individual variation in cytokine responses.…”
Section: Methodsmentioning
confidence: 99%