Oral squamous cell carcinoma (OSCC) accounts for over 90% of oral cancers worldwide, with 5-year survival rates below 60% largely due to late-stage diagnosis. External validation on an independent dataset (PXD025701, 28 samples, 45% protein overlap) achieved 70.4% AUC, demonstrating robust cross-laboratory generalization despite significant batch effects. Consensus biomarker analysis across four independent ranking methods (Random Forest importance, ANOVA F-test, Logistic Regression coefficients, ensemble scoring) identified hemopexin (HPX) as the primary target (F=380.32, p<0.001, ensemble rank #2). This end-to-end computational-to-experimental pipeline provides a roadmap for translating AI-designed proteins into accessible point-of-care diagnostics for cancer screening
