Timing HIV infection with a simple and accurate population viral dynamics model

Clinical trials for HIV prevention can require knowledge of infection times to subsequently determine protective drug levels. Yet, infection timing is difficult when study visits are sparse. Using population nonlinear mixed-effects (pNLME) statistical inference and viral loads from 46 RV217 study pa...

Descripción completa

Detalles Bibliográficos
Autores principales: Reeves, Daniel B., Rolland, Morgane, Dearlove, Bethany L., Li, Yifan, Robb, Merlin L., Schiffer, Joshua T., Gilbert, Peter, Cardozo-Ojeda, E. Fabian, Mayer, Bryan T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Life Sciences–Mathematics interface
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241492/
https://www.ncbi.nlm.nih.gov/pubmed/34186015
http://dx.doi.org/10.1098/rsif.2021.0314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241492/
https://www.ncbi.nlm.nih.gov/pubmed/34186015
http://dx.doi.org/10.1098/rsif.2021.0314

Ejemplares similares