Scheduling of optimal medication strategies for early HIV infection

Samira Khalili, Antonios Armaou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This work focuses on scheduling the optimal treatment strategy for patients at the early stage of HIV infection. Unlike patients with an established HIV infection, complete eradication of the infection is still possible at this stage. Treatment has the ability to further increase the probability of eradication. However, high dosages of drugs should be avoided, if possible, because of toxicity effects and high cost of the current drugs. Stochastic simulation is capable of determining the infection probability at early infection stage. Consequently, to obtain acceptable treatment strategies, an optimization problem was formulated, employing a stochastic model to predict the response of an average patient to treatment. Treatment strategies for prompt and also a few days latency in treatment initiation were obtained. Results were compared with constant treatment strategy and were shown to be more successful.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 American Control Conference, ACC
Pages4112-4117
Number of pages6
DOIs
StatePublished - Dec 1 2007
Event2007 American Control Conference, ACC - New York, NY, United States
Duration: Jul 9 2007Jul 13 2007

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2007 American Control Conference, ACC
CountryUnited States
CityNew York, NY
Period7/9/077/13/07

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Khalili, S., & Armaou, A. (2007). Scheduling of optimal medication strategies for early HIV infection. In Proceedings of the 2007 American Control Conference, ACC (pp. 4112-4117). [4282889] (Proceedings of the American Control Conference). https://doi.org/10.1109/ACC.2007.4282889