AI-Driven Immune Repertoire Maps

Models anticipating immune aging, thymus shrinkage dynamics, and T-cell diversity loss.

Deep learning systems that analyze the diversity of T-cell and B-cell receptors (the immune repertoire) to track immune system aging (immunosenescence). These maps identify specific gaps in immunity that develop with age and guide the design of targeted immunotherapies or thymic regeneration strategies to restore youthful immune surveillance.