Alexa Petrucciani

The paper extends a computational model of skeletal muscle regeneration to simulate and validate injury-specific responses to CTX, FI, and EC injuries, revealing distinct cytokine and cell dynamics across injury types.

The paper uses a computational model to predict how T cell exhaustion affects viral control in children with perinatal HIV, finding that exhausted CD8+ T cells can contribute to short-term viral suppression.

This paper develops an agent-based model to simulate immune responses to Mycobacterium tuberculosis infection, showing that early macrophage-CD4+ T cell interactions in latent TB infection reduce bacterial load through TNF and IFNγ mechanisms.

The paper uses agent-based simulations to show that 3D spheroid structures and cell movement enhance bacterial control in tuberculosis granuloma models.

The paper develops an agent-based model to simulate muscle regeneration, showing that combined cytokine parameter changes improve CSA recovery by 13%.

This paper introduces an agent-based model to simulate and compare traditional and spheroid in vitro tuberculosis infection models, showing heterogeneous outputs and predictive capabilities.