Phillip Minar

This study develops a model-informed Deep Q-Network to automate infliximab dosing in pediatric Crohn's disease, achieving high target attainment with minimal overtreatment.

This paper develops a hybrid population PK-ML model to improve infliximab concentration predictions in pediatric and young adult Crohn's disease patients, showing better accuracy than Bayesian estimation alone.

This study identifies IL-1β-inducing pathobionts in Crohn's disease that drive inflammation and may predict response to anti-TNF therapies.