AI has significantly enhanced biomarker integration, improving predictive accuracy and risk stratification, particularly in diabetic kidney disease (DKD), through optimized diagnostic performance of proteomics-based biomarkers such as CKD273, TNFR1, and TNFR2 [97]. This evidence concerns the gene TNFRSF1A and diabetic kidney disease.