ML identified robust predictive models, highlighting SUV and kurtosis (from PET and CT features, respectively) and the expression levels of TP63, EPHA10, FBN2, and IL1RAP as key tools for distinguishing adenocarcinoma from squamous cell carcinoma. The gene discussed is FBN2; the disease is adenocarcinoma.