A data-driven model of the role of energy in sepsis

DOI10.1016/j.jtbi.2021.110948zbMath1480.92049OpenAlexW3209238021MaRDI QIDQ2068719

Heinz Redl, Jonathan E. Rubin, David Swigon, Gilles Clermont, Ivan Ramirez-Zuniga

Publication date: 20 January 2022

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2021.110948

zbMATH Keywords

ordinary differential equationscomputational modelingBayesian parameter estimationsepsisbioenergetics

Mathematics Subject Classification ID

Biophysics (92C05) Computational methods for problems pertaining to biology (92-08) Pathology, pathophysiology (92C32)

Related Items

Modeling of adaptive immunity uncovers disease tolerance mechanisms

Uses Software

• SUNDIALS
• BayesDA

Cites Work

• Unnamed Item
• Unnamed Item
• SUNDIALS
• Optimal control strategy for abnormal innate immune response
• Mathematical modeling of energy consumption in the acute inflammatory response
• A mathematical model of the inflammatory response to pathogen challenge
• An ensemble of models of the acute inflammatory response to bacterial lipopolysaccharide in rats: results from parameter space reduction
• Using nonlinear model predictive control to find optimal therapeutic strategies to modulate inflammation
• The dynamics of acute inflammation
• A reduced mathematical model of the acute inflammatory response. I: Derivation of model and analysis of anti-inflammation
• Mathematical model of a three-stage innate immune response to a pneumococcal lung infection
• On the Importance of the Jacobian Determinant in Parameter Inference for Random Parameter and Random Measurement Error Models
• Optimal control of innate immune response