Ashlee N. Ford Versypt

This paper uses agent-based modeling to simulate IPF progression and evaluate treatment efficacy by analyzing collagen accumulation and invasion under different treatment scenarios.

The paper develops a mathematical model to simulate bone remodeling after surgical menopause, showing increased bone loss initially and a long-term rebound in bone density.

This paper develops a computational model to optimize multi-layered microcapsules for controlled drug release in treating wet AMD, showing polymer thickness and chitosan layer impact release dynamics.

This study uses a logic-based network model to predict how glucose signaling dysregulation affects glomerular endothelial cell fenestrations in diabetic kidney disease.

This study models and optimizes bi-layered chitosan-PCL microspheres for controlled drug release in intravitreal treatments of chronic retinal diseases.

The paper develops a logic-based ODE model to study inflammatory crosstalk between macrophages and glomerular endothelial cells in diabetic kidney disease, identifying key signaling molecules and interactions affecting endothelial dysfunction.

This paper develops a multiscale computational model to study how patient-specific factors affect the renin-angiotensin system and its role in COVID-19 lung fibrosis outcomes.

The paper develops a mathematical model to study how estrogen deficiency affects gut inflammation and immune cell dynamics, comparing predictions to in vivo mouse data.

This study uses an agent-based model to show that increased chemoattractant secretion and reduced cell-cell adhesion promote cancer cell transition from spheroid to network phenotypes.

This study develops spatial models of rabbit and human vitreous to analyze bevacizumab distribution and elimination, showing anterior elimination dominates in rabbits and both anterior/posterior elimination are important in humans.

This study develops a mathematical model to analyze how chronic kidney disease disrupts renal blood flow autoregulation by simulating vascular and feedback mechanisms.

The paper develops a mathematical model of glomerular fibrosis in diabetic kidney disease to predict therapeutic efficacy and identify ineffective treatments.

This study uses text mining to identify key signaling pathways and genes involved in diabetic kidney disease, providing testable hypotheses for further research.

The paper models the effects of Wnt-10b on bone metabolism using differential equations and validated parameters from mouse data, predicting increased pre-osteoblasts and osteoblasts and decreased osteoclasts.

The paper develops a mathematical model to study how collagen deposition in diabetic kidney disease affects intercellular signaling, finding that it can enhance signaling range rather than diminish it.

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.