This study was designed to develop and assess a deep learning model, LungPanelNet, for the non-invasive classification of lung diseases using a panel of six serum biomarkers, including SCCA, CEA, CA-125, CYFRA21-1, NSE, and ProGRP. The gene discussed is ENO2; the disease is lung disorder.