• DocumentCode
    2080751
  • Title

    Optimal control of HIV infection with a continuously-mutating viral population

  • Author

    Kutch, Jason J. ; Gurfil, Pini

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., Princeton Univ., NJ, USA
  • Volume
    5
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    4033
  • Abstract
    There has been much discussion in recent years devoted to determining the optimal methodology for administering anti-viral medication therapies to fight HIV infection. There are many reasons to seek such an optimal therapy, including the minimization of drug toxicity and monetary cost. However, there is increasing recognition that exposure to many anti-HIV medications produces extremely rapid changes in the viral population in an infected individual, from drug-sensitive to drug-insensitive viral strains. This paper investigates the reasons underlying the development of drug-insensitive HIV strains, and then, using numerical optimal control techniques, demonstrates that optimal drug administration may be useful in increasing patient health by delaying the emergence of drug-resistant mutant viral strains.
  • Keywords
    diseases; health care; minimisation; optimal control; patient treatment; physiological models; AIDS; HIV infection; continuously-mutating viral population; drug toxicity minimization; drug-insensitive viral strains; drug-sensitive viral strains; numerical optimal control techniques; optimal control; optimal therapy; Capacitive sensors; DNA; Drugs; Genetic mutations; Human immunodeficiency virus; Immune system; Medical control systems; Medical treatment; Optimal control; Viruses (medical);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2002. Proceedings of the 2002
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-7298-0
  • Type

    conf

  • DOI
    10.1109/ACC.2002.1024560
  • Filename
    1024560