High Risk Breast Cancer Prediction

AIM-AHEAD DSTC and Nightingale developed this Data Challenge to introduce underrepresented researchers and trainees to AI/ML and Health Equity with the analytical goal to improve the prediction of the cancer stage in minority patient’s cancers above a baseline score, using the whole slide images generated by a breast biopsy.

Breast cancer is a leading cause of cancer death in women. From a routine mammogram, some women go on to have an invasive biopsy to better examine a concerning area. Since the 1990s, there have been advancements in surgical procedures and chemotherapy.  But, known health disparities remain among breast cancer patients due to race, ethnicity, socioeconomic status, geography and access to equitable healthcare. This year, the Health Equity Data Challenge was developed to consider AI/ML solutions for analyzing breast biopsy image data and to demonstrate health disparity research to an underrespresented audience in biomedical research.