Literature DB >> 15133623

Optimal HIV treatment by maximising immune response.

Rebecca V Culshaw1, Shigui Ruan, Raymond J Spiteri.   

Abstract

We present an optimal control model of drug treatment of the human immunodeficiency virus (HIV). Our model is based upon ordinary differential equations that describe the interaction between HIV and the specific immune response as measured by levels of natural killer cells. We establish stability results for the model. We approach the treatment problem by posing it as an optimal control problem in which we maximise the benefit based on levels of healthy CD4+ T cells and immune response cells, less the systemic cost of chemotherapy. We completely characterise the optimal control and compute a numerical solution of the optimality system via analytic continuation.

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Year:  2003        PMID: 15133623     DOI: 10.1007/s00285-003-0245-3

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


  13 in total

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Authors:  A S Perelson; D E Kirschner; R De Boer
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4.  Optimal control of the chemotherapy of HIV.

Authors:  D Kirschner; S Lenhart; S Serbin
Journal:  J Math Biol       Date:  1997-08       Impact factor: 2.259

5.  CD8+ lymphocyte responses to antiretroviral therapy of HIV infection.

Authors:  A Carr; S Emery; A Kelleher; M Law; D A Cooper
Journal:  J Acquir Immune Defic Syndr Hum Retrovirol       Date:  1996-12-01

6.  HIV-1 infection kinetics in tissue cultures.

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Journal:  Math Biosci       Date:  1996-11       Impact factor: 2.144

7.  Frequency of class I HLA-restricted anti-HIV CD8+ T cells in individuals receiving highly active antiretroviral therapy (HAART).

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8.  Identification of RANTES, MIP-1 alpha, and MIP-1 beta as the major HIV-suppressive factors produced by CD8+ T cells.

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9.  CD8+ lymphocytes can control HIV infection in vitro by suppressing virus replication.

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Journal:  Science       Date:  1986-12-19       Impact factor: 47.728

10.  Decay kinetics of human immunodeficiency virus-specific effector cytotoxic T lymphocytes after combination antiretroviral therapy.

Authors:  G S Ogg; X Jin; S Bonhoeffer; P Moss; M A Nowak; S Monard; J P Segal; Y Cao; S L Rowland-Jones; A Hurley; M Markowitz; D D Ho; A J McMichael; D F Nixon
Journal:  J Virol       Date:  1999-01       Impact factor: 5.103

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Review 5.  Modeling antiretroviral drug responses for HIV-1 infected patients using differential equation models.

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7.  Optimal control of HIV dynamic using embedding method.

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8.  Optimal control strategy for abnormal innate immune response.

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9.  Apoptosis in virus infection dynamics models.

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10.  Mathematical analysis of spread and control of the novel corona virus (COVID-19) in China.

Authors:  Anwarud Din; Yongjin Li; Tahir Khan; Gul Zaman
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