AI uncovers 'sentinel antibodies' that signal strong vaccine immunity

A machine‑learning model applied to a large cohort of blood samples detected specific antibody configurations that the scientists term "sentinel antibodies." These biomarkers reliably distinguished people who later generated a robust post‑vaccination antibody surge from those who did not. The approach leverages pattern recognition across 185 antigens and could become a clinical tool for early identification of patients needing altered vaccination strategies, such as higher doses or additional boosters.