Study 1TNFA expression is best associated with wavelet-transformed mean attenuation.COL1A1 and CD31 expression best associated with texture-based metrics. Study 2Radiomics-based ML model significantly improved MACE prediction when added to traditional risk stratification that included risk factors, coronary calcium score, coronary stenosis, and CCTA HRP features (Δ[C-statistic] = 0.126, p < 0.001). Study 3Fat radiomics profile is higher in patients with AMI compared to the matched controls (p < 0.001). The gene discussed is PECAM1; the disease is coronary stenosis.