Wen Li, PhD associate professional researcher at the Department of Radiology and Biomedical Imaging at UCSF, is first author of “Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge” published in Radiology: Imaging Cancer. Breast cancer is the most common cancer worldwide, which is why the BMMR2 Challenge assembled eight teams from four countries to develop imaging-based models with high performance for predicting response to neoadjuvant chemotherapy for breast cancer.
The BMMR2 teams, from academia and industry, aimed to leverage the power of artificial intelligence to analyze multiparametric MRI data and predict early treatment response in patients undergoing neoadjuvant chemotherapy. The rich data set, generated from the ACRIN 6698 trial — a sub-study of the I-SPY 2 trial encompassing longitudinal…
