Predicting T Cell Recognition: New Insights from Large-Scale Activation Data

A study accepted to ML4H 2025 explores whether sequence-based models trained on large-scale T-cell activation data can improve prediction of T cell receptor recognition, a longstanding challenge in computational immunology with implications for cancer and autoimmune disease. Predicting how T-cell receptors (TCRs) recognize peptide–MHC (pMHC) antigens is one of the central challenges in immunology today. It […] The post Predicting T Cell Recognition: New Insights from Large-Scale Activation Data appeared first on Adaptive Biotech .