Adrianne L. Jenner

This paper uses mathematical models to investigate T cell differentiation pathways during ex vivo expansion, finding that differentiation is dynamic and not unidirectional, with implications for improving adoptive T cell therapy.

This paper develops a multiscale mathematical model of Multiple Sclerosis, showing that EBV infections, estrogen/vitamin D levels, and HLA-DR mutations influence disease initiation and progression.

This paper develops a mathematical model of multiple sclerosis that captures inflammation-driven demyelination dynamics and relapsing-remitting behavior using experimental data.

This study develops a mathematical model to simulate retinal microglia migration during inflammation, showing that LPS delivery route and species-specific pharmacokinetics drive redistribution patterns.

The paper develops a model to show phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma and suggests intermittent treatments may be more effective.

This paper develops an agent-based model to simulate multiple sclerosis progression and evaluates therapeutic strategies targeting oligodendrocytes and the blood-brain barrier.

The paper models T cell expansion in micro-rod scaffolds using stochastic and continuum approaches, finding that homogeneous scaffolds and IL-2 loading enhance expansion.

This paper develops a stochastic model to assess the identifiability of phenotypic adaptation parameters from low-cell-count experiments and shows that cell-to-cell heterogeneity is non-identifiable from population-level data.

This study uses virtual patient cohorts to model immune response differences in cancer and immunosuppressed COVID-19 patients, identifying key immune dysregulation factors.

This paper calibrates agent-based models of tumour growth using approximate Bayesian computation to estimate parameters and quantify uncertainty in biphasic growth models.

Open-source agent-based PhysiCell model of SARS-CoV-2 infection in lung epithelium; version 5 clears virus in about 6 days in simulation, and delayed T cell arrival increases epithelial loss.