Researchers at Cold Spring Harbor Laboratory developed BATCAVE, a comprehensive database of over 22,000 TCR-peptide interactions, and an AI model named BATMAN that predicts T cell receptor cross-reactivity with improved accuracy. This tool promises to refine TCR-based immunotherapies by minimizing off-target effects and improving therapeutic precision. Additionally, teams from Indiana University and University of Maryland devised a plain-language “hypothesis grammar” to simulate cell activity over time, enabling predictions of multicellular interactions relevant to cancer progression and tissue development. These advances exemplify AI's growing role in computational immunology and systems biology.