Spatial proteomics guided by H&E-based AI reveals recurrence-risk niches in triple-negative breast cancer
An outcome informed spatial pathology framework in TNBC that integrates AI generated recurrence risk heatmaps with mass spectrometry based spatial proteomics is developed and defines a new role for outcome trained AI models as spatially explicit experimental guides that connect prognostic morphology with localized mole...