Modeling-error robustness of a viral-load preconditioning strategy for HIV treatment switching

Rutao Luo, Michael J Piovoso, Ryan Zurakowski
2010 American Control Conference (ACC)  
In previous work, we have developed optimal-control based approaches that seek to minimize the risk of subsequent virological failure by "pre-conditioning" the viral load during therapy switches. In this paper, we use Monte-Carlo methods to evaluate the sensitivity of an open-loop implementation of these approaches to modeling errors. To account for hidden parameter dependencies, we use parameter distributions obtained from the convergence of Bayesian parameter estimation techniques applied to
more » ... ets of clinical data obtained during serial therapy interruptions as the distribution from which the Monte-Carlo method samples.
pmid:24954972 pmcid:PMC4061758 fatcat:vmtmvxfxijfylorgedgkzdo2nu