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
Link To Document