As part of its Breast Cancer Awareness lecture series, the Flora Stone Mather Center for Women will host Anant Madabhushi, professor and director of the Center for Computational Imaging and Personalized Diagnostics in the Department of Biomedical Engineering, for a lecture.
Madabhushi will present “Image-Based Risk Score for Predicting Aggressiveness and Outcome for Breast Cancers” Monday, Oct. 3, from 11:30 a.m. to 1 p.m. at the women’s center, located in Tinkham Veale University Center Suite 248.
With the advent of digital pathology, there is an opportunity to develop computerized image analysis methods to not just detect and diagnose disease from histopathology tissue sections, but to also attempt to predict risk of recurrence, predict disease aggressiveness and long-term survival.
At the Center for Computational Imaging and Personalized Diagnostics, the team has been developing a suite of image-processing and computer vision tools, specifically designed to predict disease progression and response to therapy via the extraction and analysis of image-based “histological biomarkers” derived from digitized tissue biopsy specimens. These tools would serve as an attractive alternative to molecular-based assays, which attempt to perform the same predictions.