The AI model analyzes three biomarkers from routine breast cancer hematoxylin and eosin-stained slides to predict breast cancer status. The tool helps physicians and researchers better understand the links between biological factors for treatment and the tumor, an Aug. 11 news release on the study said.
Treatment plans for breast cancer rely on identifying biomarkers. The algorithm interprets the slides and predicts biomarkers to help physicians determine treatment plans quicker.
The model will eventually be used to help physicians determine a tumor’s histology and microscopic structure.
