Pooya Mobadersany and Dr. Jeff Goldstein have published a paper in Lab Investigation describing GestAltNet, a convolutional network that learns to aggregate content from across whole slide images for prediction of patient-level labels.
Sanghoon Lee has published a paper in Cancer Research on HistomicsML, an interactive system for training machine learning models with whole-slide imaging data. This system overcomes several computational challenges to provide investigators with a responsive, intuitive tool for building machine learning models.
Our computational analysis of the relationships between breast cancer tissue morphology and MKK3 expression was published in the Journal of Translational Medicine. This paper describes how increased MKK3 expression is associated with worse outcomes in African American women who are diagnosed with breast cancer.
Our article on computational assessment of Tumor Infiltrating Lymphocytes (TILs) has been published in NPJ Breast Cancer as part of a series of papers on clinical implementation of TIL scoring procedures. This work is the culmination of a collaboration with the International Immuno-Oncology Biomarker Working Group on Breast Cancer led by Dr. Roberto Salgado