• DocumentCode
    1420798
  • Title

    A Game Theoretical Approach to Optimal Control of Dual Drug Delivery for HIV Infection Treatment

  • Author

    Wu, Jing ; Zhang, Mingjun

  • Author_Institution
    Dept. of Mech., Aerosp. & Biomed. Eng., Univ. of Tennessee, Knoxville, TN, USA
  • Volume
    40
  • Issue
    3
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    694
  • Lastpage
    702
  • Abstract
    For human immunodeficiency virus (HIV) infection treatment, the host immune system and antiviral drugs form a coalition to fight against HIV. Evidence suggests that drug therapy with Highly Active Antiretroviral Therapy can effectively prolong the life of the patient because it can reduce the replication of HIV while, at the same time, protecting the CD4+ T cells. The dosages of different drugs, however, are important in determining the success of the treatment. In addition, drug therapy for HIV is complicated by the fact that viruses can mutate, thereby effectively escaping from the attack of the drugs. This paper models HIV drug therapy by considering a game between HIV and a coalition consisting of both antiviral drugs and the host immune system. The Nash equilibrium (NE) is calculated as the solution of the game. The simulation results show that an NE exists in which both T cells and viruses remain and coexist after several generations. This brings a new drug therapy during HIV infection to prolong the life of the patient with HIV coexistence.
  • Keywords
    drug delivery systems; drugs; game theory; microorganisms; optimal control; CD4 cells; HIV drug therapy; HIV infection treatment; Nash equilibrium; T cells; antiviral drug; drug delivery; game theory; highly active antiretroviral therapy; human immunodeficiency virus; immune system; optimal control; Acquired immunodeficiency syndrome (AIDS); Nash equilibrium (NE); game theory; human immunodeficiency virus (HIV); optimal control; viral dynamics; Algorithms; Anti-HIV Agents; Decision Support Systems, Clinical; Decision Support Techniques; Drug Combinations; Drug Therapy, Computer-Assisted; Game Theory; HIV Infections; Humans;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/TSMCB.2010.2040616
  • Filename
    5416298