Modeling CD4\(^+\) T cells dynamics in HIV-infected patients receiving repeated cycles of exogenous Interleukin 7

DOI10.1214/17-AOAS1047zbMath1382.92118arXiv1602.05399OpenAlexW2964162931MaRDI QIDQ1684239

Laura Villain, Daniel Commenges, Mélanie Prague, Rodolphe Thiébaut, Ana Jarne, Yves-Emmanuel Lévy

Publication date: 8 December 2017

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1602.05399

zbMATH Keywords

modelingHIVmechanistic modelsCD4Interleukin 7

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Cell biology (92C37)

Related Items (3)

Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States ⋮ Evaluating the use of generalized dynamic weighted ordinary least squares for individualized HIV treatment strategies ⋮ Controlling IL-7 injections in HIV-infected patients

This page was built for publication: Modeling CD4\(^+\) T cells dynamics in HIV-infected patients receiving repeated cycles of exogenous Interleukin 7