Optimized structured treatment interruption for HIV therapy and its performance analysis on controllability.
This paper presents dynamic programming therapy to reduce medication and establish long-term immune response against HIV-infection. Understanding HIV-related immune system control enables better HIV therapy without using full-treatments. Discrete regimen and continuous regimen characteristics are compared. Controllability of HIV-related immune system is analyzed for better understanding of optimal control in HIV therapy. Using optimal control provides more effective therapy than the full treatment without interruption in terms of controllability analysis. Case studies indicated the proposed therapy induces long-term nonprogression while preserving high CD4 T-helper cell count and low virus load in HIV-infected patients.
Division of Electrical and Computer Engineering, Hanyang University, Seoul, 133-791, Korea. kojisnet@hotmail.com
Ji Hyun
JH
Ko
Won Hee
WH
Kim
Chung Choo
CC
Chung
D000465:Algorithms; D019380:Anti-HIV Agents / Q000008:administration & dosage*; D003198:Computer Simulation; D004334:Drug Administration Schedule; D004360:Drug Therapy, Computer-Assisted / Q000379:methods*; D006678:HIV / Q000187:drug effects* / Q000276:immunology*; D015658:HIV Infections / Q000188:drug therapy* / Q000276:immunology*; D006801:Humans; D008954:Models, Biological; D011786:Quality Control; D016896:Treatment Outcome
D019380:Anti-HIV Agents