Literature DB >> 9269736

Optimal control of the chemotherapy of HIV.

D Kirschner1, S Lenhart, S Serbin.   

Abstract

Using an existing ordinary differential equation model which describes the interaction of the immune system with the human immunodeficiency virus (HIV), we introduce chemotherapy in an early treatment setting through a dynamic treatment and then solve for an optimal chemotherapy strategy. The control represents the percentage of effect the chemotherapy has on the viral production. Using an objective function based on a combination of maximizing benefits based on T cell counts and minimizing the systemic cost of chemotherapy (based on high drug dose/strength), we solve for the optimal control in the optimality system composed of four ordinary differential equations and four adjoint ordinary differential equations.

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Year:  1997        PMID: 9269736     DOI: 10.1007/s002850050076

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  41 in total

1.  Optimal control strategies for disinfection of bacterial populations with persister and susceptible dynamics.

Authors:  N G Cogan; Jason Brown; Kyle Darres; Katherine Petty
Journal:  Antimicrob Agents Chemother       Date:  2012-07-02       Impact factor: 5.191

2.  A parameter sensitivity methodology in the context of HIV delay equation models.

Authors:  H T Banks; D M Bortz
Journal:  J Math Biol       Date:  2004-12-20       Impact factor: 2.259

3.  Costs versus benefits: best possible and best practical treatment regimens for HIV.

Authors:  O Krakovska; L M Wahl
Journal:  J Math Biol       Date:  2007-01-05       Impact factor: 2.259

4.  Can the viral reservoir of latently infected CD4(+) T cells be eradicated with antiretroviral HIV drugs?

Authors:  Robert J Smith; B D Aggarwala
Journal:  J Math Biol       Date:  2009-01-23       Impact factor: 2.259

5.  Analysis of recruitment and industrial human resources management for optimal productivity in the presence of the HIV/AIDS epidemic.

Authors:  Kazeem O Okosun; Oluwole D Makinde; Isaac Takaidza
Journal:  J Biol Phys       Date:  2012-11-01       Impact factor: 1.365

6.  Using mathematical modeling and control to develop structured treatment interruption strategies for HIV infection.

Authors:  Eric S Rosenberg; Marie Davidian; H Thomas Banks
Journal:  Drug Alcohol Depend       Date:  2007-02-05       Impact factor: 4.492

7.  Live attenuated HIV vaccines: predicting the tradeoff between efficacy and safety.

Authors:  S M Blower; K Koelle; D E Kirschner; J Mills
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-13       Impact factor: 11.205

8.  Switching neuronal state: optimal stimuli revealed using a stochastically-seeded gradient algorithm.

Authors:  Joshua Chang; David Paydarfar
Journal:  J Comput Neurosci       Date:  2014-08-22       Impact factor: 1.621

9.  Optimal HIV treatment by maximising immune response.

Authors:  Rebecca V Culshaw; Shigui Ruan; Raymond J Spiteri
Journal:  J Math Biol       Date:  2003-10-27       Impact factor: 2.259

Review 10.  Modeling antiretroviral drug responses for HIV-1 infected patients using differential equation models.

Authors:  Yanni Xiao; Hongyu Miao; Sanyi Tang; Hulin Wu
Journal:  Adv Drug Deliv Rev       Date:  2013-04-17       Impact factor: 15.470

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