Moreover, traditional TNM-based predictive models (e.g., logistic regression) assume linearity and thus fail to capture complex, nonlinear interactions among tumor biomarkers (for example, synergistic effects between AFP levels and tumor size), resulting in biased risk stratification and potential delays in treating early-stage HCC (18). Here, AFP is linked to neoplasm.