Ruian Ke

The paper develops a mechanistic model linking CD8+ T cell expansion sensitivity to HIV post-treatment control, showing strong correlations with Ki-67 and TCF-1 levels.

This study quantifies AZD5582's effect on SIV reservoirs in macaques, showing it reactivates 25% of latent cells per dose and clears 60-79% of reactivated cells.

The paper uses dynamic models to analyze viral rebound after HIV-1 treatment interruption, showing effector cell expansion rate distinguishes post-treatment controllers from non-controllers.

This study measures viral burst sizes in thousands of infected cells using dqPCR, finding significant variation in H3N2 and H1N1 strains with a small fraction of cells producing most viruses.

The paper develops a simulation tool to assess how contact tracing affects phylogenetic inferences from molecular epidemiology data.

This paper develops a deep learning method for real-time HIV outbreak detection using genomic data, achieving high specificity and sensitivity in identifying outbreaks.