Feilim Mac Gabhann

The paper develops ODE and PDE models to simulate endometrial cell proliferation and interactions in 3D co-cultures under hormone and cytokine conditions.

The paper develops a mechanistic model of sFLT1 secretion dynamics, showing that a delay differential equation system best fits experimental data and identifies key constrained parameters.

The paper develops a computational framework to quantify lymphocyte motility behaviors and predict their impact on B-T interactions in germinal centers, finding that differential motility enhances B-T interaction rates.

The paper quantifies how VEGF ligand binding affects trafficking of VEGFR1, VEGFR2, and NRP1 in human endothelial cells, showing that VEGFR2 internalization is ligand-dependent while VEGFR1 is not.

Simulations using a mechanistic HIV model show that interindividual variability in infection dynamics drives differential responses to HSCT, with remission dependent on donor-to-host immune cell ratios and better predicted by clinical observations than model parameters.

The paper develops a quantitative systems pharmacology model to analyze ADCs, showing that bystander effects are significant in vivo and highlighting key design parameters for optimizing efficacy and toxicity.

The paper constructs a Hydractinia cell atlas to study the cellular and molecular mechanisms of coloniality, finding that distinct colony parts are defined by combinations of shared cell types and rare innovations.

The paper develops a computational model to analyze how bispecific antibodies interact with IL-6 and IL-8 receptors, showing how binding dynamics influence therapeutic efficacy.

The paper quantifies trafficking dynamics of VEGFR1, VEGFR2, and NRP1 in HUVECs, showing differences in trafficking rates and surface localization compared to non-human endothelial cells.