A model predictive control based scheduling method for HIV therapy.
Recently developed models of the interaction of the human immune system and the human immunodeficiency virus (HIV) suggest the possibility of using interruptions of highly active anti-retroviral therapy (HAART) to simulate a therapeutic vaccine and induce cytotoxic lymphocyte (CTL) mediated control of HIV infection. We have developed a model predictive control (MPC) based method for determining optimal treatment interruption schedules for this purpose. This method provides a clinically implementable framework for calculating interruption schedules that are robust to errors due to measurement and patient variations. In this paper, we discuss the medical motivation for this work, introduce the MPC-based method, show simulation results, and discuss future work necessary to implement the method.
Department of Ecology and Evolutionary Biology, 321 Steinhaus Hall, University of California, Irvine, CA 92697, USA. ryanz@uci.edu
Ryan
R
Zurakowski
Andrew R
AR
Teel
D016915:AIDS Vaccines; D019380:Anti-HIV Agents / Q000008:administration & dosage* / Q000627:therapeutic use; D023241:Antiretroviral Therapy, Highly Active; D019295:Computational Biology; D018450:Disease Progression; D004334:Drug Administration Schedule; D015658:HIV Infections / Q000188:drug therapy* / Q000276:immunology*; D006801:Humans; D018448:Models, Immunological; D013602:T-Lymphocytes, Cytotoxic / Q000276:immunology; D006377:T-Lymphocytes, Helper-Inducer / Q000276:immunology; D019562:Viral Load
D016915:AIDS Vaccines; D019380:Anti-HIV Agents