Title: |
A nonlinear mpc approach to minimize toxicity in hiv-1 infection multi-drug therapy |
Authors: |
João Lemos xvii , João Pinheiro , Susana Vinga
|
Abstract: |
This work addresses the problem of minimizing the toxicity of the therapy applied to control
HIV-1 infection when a multi-drug therapy is (as usually) employed. An approach based on nonlinear
model predictive control (MPC), in which the input is a train of impulses corresponding to periodic pill
administration to the patient, is followed. Patient adherence to treatment and their impact on virus drug
resistance is considered in the model used. The control objective consists of driving the viral load to
a low specified value while minimizing the amount of drugs administered to the patient. Since various
dose combinations of reverse transcriptase inhibitor (RTI) and protease inhibitor (PI) drugs can be given
depending on the weights of the cost function minimized by periodic MPC while attaining the same
control objective, it is proposed that these weights can be adjusted to minimize the toxicity of the drug
cocktail administered. This approach is illustrated by means of simulation in a model that incorporates
both pharmaco-kinetics and pharmaco-dynamics of the drugs considered. |
Publication date: |
2012-07-16 |
Online entry date: |
2013-05-08 |
Conference: |
CONTROLO’2012 |
Publication pdf: |
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