Scheduling of optimal medication strategies for early HIV infection

Samira Khalili; Antonios Armaou

doi:10.1109/ACC.2007.4282889

Scheduling of optimal medication strategies for early HIV infection

Samira Khalili
, Antonios Armaou

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of the 2007 American Control Conference, ACC
Pages	4112-4117
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2007.4282889
State	Published - 2007
Event	2007 American Control Conference, ACC - New York, NY, United States Duration: Jul 9 2007 → Jul 13 2007

Publication series

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

Other

Other	2007 American Control Conference, ACC
Country/Territory	United States
City	New York, NY
Period	7/9/07 → 7/13/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2007.4282889

Cite this

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title = "Scheduling of optimal medication strategies for early HIV infection",

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.",

author = "Samira Khalili and Antonios Armaou",

year = "2007",

doi = "10.1109/ACC.2007.4282889",

language = "English (US)",

isbn = "1424409888",

series = "Proceedings of the American Control Conference",

pages = "4112--4117",

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note = "2007 American Control Conference, ACC ; Conference date: 09-07-2007 Through 13-07-2007",

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AU - Khalili, Samira

AU - Armaou, Antonios

PY - 2007

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AB - 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.

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DO - 10.1109/ACC.2007.4282889

M3 - Conference contribution

AN - SCOPUS:46449107994

SN - 1424409888

SN - 9781424409884

T3 - Proceedings of the American Control Conference

SP - 4112

EP - 4117

BT - Proceedings of the 2007 American Control Conference, ACC

T2 - 2007 American Control Conference, ACC

Y2 - 9 July 2007 through 13 July 2007

ER -

Scheduling of optimal medication strategies for early HIV infection

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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