Jeffrey S. Hyams

Model-informed Deep Q-Networks to Guide Infliximab Dosing in Pediatric Crohn's Disease

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.

Hybrid Population PK-Machine Learning Modeling to Predict Infliximab Pharmacokinetics in Pediatric and Young Adult Patients with Crohn's Disease

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.

Identification of arginine-vasopressin receptor 1a (Avpr1a/AVPR1A) as a novel candidate gene for chronic visceral pain.

The paper identifies Avpr1a as a novel candidate gene for chronic visceral pain through genomic and functional analyses in mouse models and human patients.

Methylation Quantitative Trait Loci are Largely Consistent across Disease States in Crohns disease

The paper identifies methylation quantitative trait loci (mQTLs) in blood and ileum samples from Crohn's disease patients and finds they are largely consistent across disease states and tissues.

Stratification of Risk of Progression to Colectomy in Ulcerative Colitis using Measured and Predicted Gene Expression

The paper uses measured and predicted gene expression to identify ulcerative colitis patients at elevated risk of colectomy, showing both methods independently replicate in multiple datasets.