This study employed machine learning techniques to identify four key genes—DPYSL2, CIB2, IFI44, and SAMHD1—that potentially play a significant role in the pathogenesis and progression of diabetic foot ulcer (DFU) disease. Here, DPYSL2 is linked to diabetic foot.