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Using mathematical modeling and control to develop structured treatment interruption strategies for HIV infection.

Publication ,  Journal Article
Rosenberg, ES; Davidian, M; Banks, HT
Published in: Drug Alcohol Depend
May 2007

The goal of this article is to suggest that mathematical models describing biological processes taking place within a patient over time can be used to design adaptive treatment strategies. We demonstrate using the key example of treatment strategies for human immunodeficiency virus type-1 (HIV) infection. Although there has been considerable progress in management of HIV infection using highly active antiretroviral therapies, continuous treatment with these agents involves significant cost and burden, toxicities, development of drug resistance, and problems with adherence; these latter complications are of particular concern in substance-abusing individuals. This has inspired interest in structured or supervised treatment interruption (STI) strategies, which involve cycles of treatment withdrawal and re-initiation. We argue that the most promising STI strategies are adaptive treatment strategies. We then describe how biological mechanisms governing the interaction over time between HIV and a patient's immune system may be represented by mathematical models and how control methods applied to these models can be used to design adaptive STI strategies seeking to maintain long-term suppression of the virus. We advocate that, when such mathematical representations of processes underlying a disease or disorder are available, they can be an important tool for suggesting adaptive treatment strategies for clinical study.

Duke Scholars

Published In

Drug Alcohol Depend

DOI

ISSN

0376-8716

Publication Date

May 2007

Volume

88 Suppl 2

Issue

Suppl 2

Start / End Page

S41 / S51

Location

Ireland

Related Subject Headings

  • Substance Abuse
  • Models, Theoretical
  • Humans
  • HIV Infections
  • CD4 Antigens
  • 4202 Epidemiology
  • 3214 Pharmacology and pharmaceutical sciences
  • 3101 Biochemistry and cell biology
  • 17 Psychology and Cognitive Sciences
  • 11 Medical and Health Sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Rosenberg, E. S., Davidian, M., & Banks, H. T. (2007). Using mathematical modeling and control to develop structured treatment interruption strategies for HIV infection. Drug Alcohol Depend, 88 Suppl 2(Suppl 2), S41–S51. https://doi.org/10.1016/j.drugalcdep.2006.12.024
Rosenberg, Eric S., Marie Davidian, and H Thomas Banks. “Using mathematical modeling and control to develop structured treatment interruption strategies for HIV infection.Drug Alcohol Depend 88 Suppl 2, no. Suppl 2 (May 2007): S41–51. https://doi.org/10.1016/j.drugalcdep.2006.12.024.
Rosenberg ES, Davidian M, Banks HT. Using mathematical modeling and control to develop structured treatment interruption strategies for HIV infection. Drug Alcohol Depend. 2007 May;88 Suppl 2(Suppl 2):S41–51.
Rosenberg, Eric S., et al. “Using mathematical modeling and control to develop structured treatment interruption strategies for HIV infection.Drug Alcohol Depend, vol. 88 Suppl 2, no. Suppl 2, May 2007, pp. S41–51. Pubmed, doi:10.1016/j.drugalcdep.2006.12.024.
Rosenberg ES, Davidian M, Banks HT. Using mathematical modeling and control to develop structured treatment interruption strategies for HIV infection. Drug Alcohol Depend. 2007 May;88 Suppl 2(Suppl 2):S41–S51.
Journal cover image

Published In

Drug Alcohol Depend

DOI

ISSN

0376-8716

Publication Date

May 2007

Volume

88 Suppl 2

Issue

Suppl 2

Start / End Page

S41 / S51

Location

Ireland

Related Subject Headings

  • Substance Abuse
  • Models, Theoretical
  • Humans
  • HIV Infections
  • CD4 Antigens
  • 4202 Epidemiology
  • 3214 Pharmacology and pharmaceutical sciences
  • 3101 Biochemistry and cell biology
  • 17 Psychology and Cognitive Sciences
  • 11 Medical and Health Sciences