Using three machine learning approaches, we selected IL6, ETS1, TDO2, and TBX2 as biomarkers related to senescence in AAA, with nomogram demonstrating their strong predictive value for AAA diagnosis. The gene discussed is ETS1; the disease is triple-A syndrome.