Predicting Neoadjuvant Treatment Response in Triple-Negative Breast Cancer Using Machine Learning.

Overall, our results emphasize that prediction models for NAC response should be based on biomarkers in combination rather than in isolation. Our study provides compelling evidence to support the use of ML-based models to predict NAC response in patients with TNBC.