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Mathematical Biosciences and Engineering : MBE|November 17, 2010
Using nonlinear model predictive control to find optimal therapeutic strategies to modulate inflammationJudy Day, Jonathan Rubin, Gilles ClermontJournal of Theoretical Biology|April 6, 2006
A reduced mathematical model of the acute inflammatory response: I. Derivation of model and analysis of anti-inflammationAngela Reynolds, Jonathan Rubin, Gilles Clermont, et al.Journal of Theoretical Biology|April 18, 2006
A reduced mathematical model of the acute inflammatory response II. Capturing scenarios of repeated endotoxin administrationJudy Day, Jonathan Rubin, Yoram Vodovotz, et al.Plos Computational Biology|June 25, 2019
Correction: From Inverse Problems in Mathematical Physiology to Quantitative Differential DiagnosesSven Zenker, Jonathan Rubin, Gilles ClermontPlos Computational Biology|November 14, 2007
From inverse problems in mathematical physiology to quantitative differential diagnosesSven Zenker, Jonathan Rubin, Gilles ClermontJournal of Critical Care|December 6, 2008
Equation-based models of dynamic biological systemsSilvia Daun, Jonathan Rubin, Yoram Vodovotz, et al.Journal of Theoretical Biology|June 14, 2008
An ensemble of models of the acute inflammatory response to bacterial lipopolysaccharide in rats: results from parameter space reductionSilvia Daun, Jonathan Rubin, Yoram Vodovotz, et al.Shock (Augusta, Ga.)|August 17, 2006
In silico models of acute inflammation in animalsYoram Vodovotz, Carson C Chow, John Bartels, et al.Critical Care (London, England)|August 11, 2007
Modeling longitudinal data in acute illnessGilles ClermontPageof 30