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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:J R Soc Interface
Egile Nagusiak: 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.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: The Royal Society 2021
Gaiak:
Life Sciences–Mathematics interface
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC8241492/
https://ncbi.nlm.nih.gov/pubmed/34186015
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2021.0314
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