Through the analysis involving differential gene expression and machine learning-based feature selection, we identified a subset of key genes, including CNOT1, KRT73, and CLEC2D, which consistently emerged across multiple models as potential biomarkers for early diabetes prediction. The gene discussed is CLEC2D; the disease is diabetes mellitus.