The proposed device, called USENSE, integrates lateral flow microfluidic channels, a gold‐based sensor array for quantifying PGE2, IL‐8, and LPS levels, and a random forest machine learning model for reliable diagnosis of UTI. The gene discussed is CXCL8; the disease is bacterial urinary tract infection.