By incorporating diverse variables such as menopause status, hormone receptor levels (ER, PR, HER2), tumor grade, size, lymph node involvement, and the presence of inflammatory breast cancer, the RF model more accurately predicted patients likely to achieve a complete pathological response to NAC. The gene discussed is ERBB2; the disease is neoplasm.