Long-term HIV dynamics: Mathematical modeling and optimal control

Marios M. Hadjiandreou, Raul Conejeros, Vassilis S. Vassiliadis, D. Ian Wilson

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
Páginas444-450
Número de páginas7
EstadoPublicada - 2008
Publicado de forma externa
Evento2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008 - Las Vegas, NV, Estados Unidos
Duración: 14 jul. 200817 jul. 2008

Serie de la publicación

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

Conferencia

Conferencia2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
País/TerritorioEstados Unidos
CiudadLas Vegas, NV
Período14/07/0817/07/08

Huella

Profundice en los temas de investigación de 'Long-term HIV dynamics: Mathematical modeling and optimal control'. En conjunto forman una huella única.

Citar esto