GMFG and atherosclerosis: Machine learning-based techniques, including LASSO, Boruta, Support Vector Machine, and Random Forest, were employed to specifically identify CTSC, TGFBI, and GMFG as potential diagnostic biomarkers associated with SMC activity in atherosclerosis.