Combining machine learning with microbiome and metabolomic data from 4,000+ IBD patients, this project develops tools to predict disease flares, identify therapeutic targets, and enable personalized flare prevention.
Building AI-powered digital avatars that simulate each patient's immune system to predict therapy response and accelerate precision immunotherapy development.
Systematically identifying and validating repurposed FDA-approved drugs for over 160 autoimmune diseases using AI, knowledge graphs, and high-throughput experimental screening.
Yale's Colton Center for Autoimmunity has selected eleven faculty-led projects for 2024 funding, supporting breakthrough research into lupus, asthma, allergies, and other autoimmune diseases — with mentorship and commercialization support included.
