Researchers are exploring new methods to improve detection and treatment of HER2-low breast cancer. Studies are utilizing various techniques, including quantitative transcriptomics, spatial transcriptomics, and computational pathology, to better understand tumor heterogeneity and predict treatment outcomes. These approaches may also involve the use of artificial intelligence, RNA sequencing, and immunohistochemistry to enhance breast cancer management and individualized therapy.