Dr. Cooper will speak at the 7th annual Digital Pathology & AI Congress hosted on May 26-27. The virtual meeting will feature presentations from academia and industry discussing the application of machine learning to primary diagnosis and clinical research and strategies needed for clinical deployment.
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.
Mohamed Amgad will present our work on developing annotation datasets for computational pathology studies at a public meeting of the US FDA on March 10th.
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.
The Midwest Computational Pathology Workshop (MCCP) will host it's first workshop from January 26-28. The workshop, supported by the NSF Midwest BigData Hub, will feature speakers from academia and industry to foster collaboration in the Midwest and beyond.
Lee Cooper will speak at the University of Chicago Pathobiology of Disease seminar on December 17th.
Dr. Jeff Goldstein, MD, PhD won the best clinical poster award for his poster "AI estimation of gestational age based on microscopic appearance of placental villi."
On October 19th Dr. Cooper will speak at the at the UPenn Pathology Department Grand Rounds. The talk "Computational pathology for diagnostic inference and discovery" will discuss the significance of developments in computational biology for science and clinical practice.
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