LungPanelNet: a machine learning-based approach for the early prediction and differentiation of non-small cell lung cancer

Our findings demonstrate that a machine learning model integrating a panel of serum tumor markers can effectively distinguish NSCLC from a spectrum of benign pulmonary conditions with high accuracy. This approach shows promise as a clinical decision-support tool, though further validation in larger, prospective, multi-center cohorts is warranted. This was a retrospective cohort study without clinical trial registration.