The translational chasm in machine learning for triple-negative breast cancer: a quantitative landscape assessment
Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer and the one with the fewest therapeutic targets. The application of machine learning (ML) in TNBC research is becoming increasingly widespread; however, systematic bibliometric studies focusing on this rapidly evolving interdiscipl...