HIGHLIGHTS
- who: Xin Qi from the University of Basel, Switzerland have published the paper: Editorial: Advances in AI methods for computational pathology, in the Journal: (JOURNAL)
- how: The resulting WSI-derived features when combined with the state-of-the-art Magee features are shown to be beneficial to oncotype DX recurrence score prediction for patients with estrogen receptor-positive breast cancer enabling an avenue to predict chemotherapy benefits in such patient populations. The notion from this paper of combining WSI-derived histology features with other clinical and genomic information for better clinical support is valuable as . . .
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