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HIV model parameter estimates from interruption trial data including drug efficacy and reservoir dynamicsOptimal antiviral switching to minimize resistance risk in HIV therapy.Resistance evolution in HIV - modeling when to intervene.Robust closed-loop minimal sampling method for HIV therapy switching strategies.Measurement error robustness of a closed-loop minimal sampling method for HIV therapy switchingDynamics of melanoma tumor therapy with vesicular stomatitis virus: explaining the variability in outcomes using mathematical modeling.Nonlinear observer output-feedback MPC treatment scheduling for HIV.Approximate-model closed-loop minimal sampling method for HIV viral-load minima detection.
P2860
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P2860
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on March 2011
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Controlling the Evolution of Resistance
@en
Controlling the Evolution of Resistance.
@nl
type
label
Controlling the Evolution of Resistance
@en
Controlling the Evolution of Resistance.
@nl
prefLabel
Controlling the Evolution of Resistance
@en
Controlling the Evolution of Resistance.
@nl
P2093
P2860
P1476
Controlling the Evolution of Resistance
@en
P2093
Jason Hernandez
Lamont Cannon
Michael J Piovoso
Ryan Zurakowski
P2860
P304
P356
10.1016/J.JPROCONT.2010.11.010
P577
2011-03-01T00:00:00Z