March 5, 2021
GestAltNet: aggregation and attention paper published in Lab Investigation

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.

February 1, 2021
Paper on interactive learning for whole-slide images published in Cancer Research

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.

September 1, 2020
Paper on MKK3 expression and outcomes in breast cancer for African American women

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.

May 12, 2020
Three papers on Tumor Infiltrating Lymphocytes published in NPJ 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