• Antibody repertoires encode rich immunological history and can serve as biomarkers for disease diagnosis and vaccine efficacy prediction.
• Deep learning models are increasingly applied to predict antibody-antigen binding, generate specific antibodies, and support immunologic diagnoses.
• Understanding antibody clonotype evolution is crucial for developing repertoire-directed vaccination strategies.
• AI-driven analysis of high-dimensional antibody repertoire data promises to revolutionize adaptive immunity research and clinical applications.