A recent publication in Anticancer Research highlights the critical role of high-quality digital pathology imaging in developing AI models that predict treatment response in breast cancer.
The study utilized ASI’s HiPath Pro platform to generate standardized whole-slide images and quantitative Ki-67 data, enabling researchers to train a deep-learning model capable of predicting pathological complete response with high accuracy.
This work underscores how ASI’s imaging technology supports reproducible, data-driven oncology research and advances precision medicine.