Dynamic Multidrug Therapies for HIV: Optimal and STI Control Approaches

We formulate a dynamic mathematical model that describes theinteraction of the immune system with the human immunodeficiencyvirus (HIV) and that permits drug ''cocktail'' therapies. Wederive HIV therapeutic strategies by formulating and analyzing anoptimal control problem using t...

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Main Authors: B. M. Adams, H. T. Banks, Hee-Dae Kwon, Hien T. Tran
Format: Article
Language:English
Published: AIMS Press 2004-06-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2004.1.223
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author B. M. Adams
H. T. Banks
Hee-Dae Kwon
Hien T. Tran
author_facet B. M. Adams
H. T. Banks
Hee-Dae Kwon
Hien T. Tran
author_sort B. M. Adams
collection DOAJ
description We formulate a dynamic mathematical model that describes theinteraction of the immune system with the human immunodeficiencyvirus (HIV) and that permits drug ''cocktail'' therapies. Wederive HIV therapeutic strategies by formulating and analyzing anoptimal control problem using two types of dynamic treatmentsrepresenting reverse transcriptase (RT) inhibitors and proteaseinhibitors (PIs). Continuous optimal therapies are found bysolving the corresponding optimality systems. In addition, usingideas from dynamic programming, we formulate and derive suboptimalstructured treatment interruptions (STI) in antiviral therapy thatinclude drug-free periods of immune-mediated control of HIV. Ournumerical results support a scenario in which STI therapies canlead to long-term control of HIV by the immune response systemafter discontinuation of therapy.
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spelling doaj-art-a5218b50b62348a1a883b7a97e271afe2025-01-24T01:46:53ZengAIMS PressMathematical Biosciences and Engineering1551-00182004-06-011222324110.3934/mbe.2004.1.223Dynamic Multidrug Therapies for HIV: Optimal and STI Control ApproachesB. M. Adams0H. T. Banks1Hee-Dae Kwon2Hien T. Tran3Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695-8212Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695We formulate a dynamic mathematical model that describes theinteraction of the immune system with the human immunodeficiencyvirus (HIV) and that permits drug ''cocktail'' therapies. Wederive HIV therapeutic strategies by formulating and analyzing anoptimal control problem using two types of dynamic treatmentsrepresenting reverse transcriptase (RT) inhibitors and proteaseinhibitors (PIs). Continuous optimal therapies are found bysolving the corresponding optimality systems. In addition, usingideas from dynamic programming, we formulate and derive suboptimalstructured treatment interruptions (STI) in antiviral therapy thatinclude drug-free periods of immune-mediated control of HIV. Ournumerical results support a scenario in which STI therapies canlead to long-term control of HIV by the immune response systemafter discontinuation of therapy.https://www.aimspress.com/article/doi/10.3934/mbe.2004.1.223nonlinear modelinghiv dynamicsoptimal control.structured treatment interruption
spellingShingle B. M. Adams
H. T. Banks
Hee-Dae Kwon
Hien T. Tran
Dynamic Multidrug Therapies for HIV: Optimal and STI Control Approaches
Mathematical Biosciences and Engineering
nonlinear modeling
hiv dynamics
optimal control.
structured treatment interruption
title Dynamic Multidrug Therapies for HIV: Optimal and STI Control Approaches
title_full Dynamic Multidrug Therapies for HIV: Optimal and STI Control Approaches
title_fullStr Dynamic Multidrug Therapies for HIV: Optimal and STI Control Approaches
title_full_unstemmed Dynamic Multidrug Therapies for HIV: Optimal and STI Control Approaches
title_short Dynamic Multidrug Therapies for HIV: Optimal and STI Control Approaches
title_sort dynamic multidrug therapies for hiv optimal and sti control approaches
topic nonlinear modeling
hiv dynamics
optimal control.
structured treatment interruption
url https://www.aimspress.com/article/doi/10.3934/mbe.2004.1.223
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