Long-term HIV dynamics: Mathematical modeling and optimal control

Marios M. Hadjiandreou, RAUL JORGE CONEJEROS RISCO, Vassilis S. Vassiliadis, D. Ian Wilson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This study involves the mathematical modeling of long-term HIV dynamics and the investigation of optimal treatment strategies. The model duplicates literature-reported clinical data with good agreement and is able to predict the entire trajectory of the disease. The model is extended to account for therapy and the emergence of drug-resistant virus and used to investigate how continuous therapy and Structured Treatment Interruptions (STIs) can be implemented in an optimal manner to extend the life-expectancy of an HIV-infected patient to desirable times, while at the same time minimizing drug-related side-effects. Whereas the former fails when treating patients that have developed strong drug resistance, STIs prove to be very promising. This is because the optimal schedule of ON and OFF treatment allows for the interplay between the drug-sensitive and drug-resistant virus and prevents them from growing in an uncontrolled manner. As a result, uninfected CD4+ T-cells are maintained at relatively high values at all times.

Original languageEnglish
Title of host publicationProceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
Pages444-450
Number of pages7
StatePublished - 1 Dec 2008
Event2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008 - Las Vegas, NV, United States
Duration: 14 Jul 200817 Jul 2008

Publication series

NameProceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008

Conference

Conference2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
CountryUnited States
CityLas Vegas, NV
Period14/07/0817/07/08

Keywords

  • Drug efficacy
  • Resistance
  • STIs
  • Therapy

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