Machine learning-based identification of kbhb-affected tumor cell subsets as prognostic and therapeutic targets in breast cancer

Kbhb influences breast cancer heterogeneity, with SCGB2A2 + neoplastic cells serving as valuable prognostic indicators. Targeting these cells may improve therapeutic outcomes. Our model also supports machine learning-guided drug discovery for metabolically vulnerable subpopulations.