Traditional machine learning models—logistic regression, Random Forest, gradient boosting, and neural networks—have been used to integrate biochemical markers such as γ-glutamyl transferase (GGT) and alanine aminotransferase (ALT) for breast cancer prediction [139]. The gene discussed is GPT; the disease is breast carcinoma.