Guanghua Xiao, of the Quantitative Biomedical Research Center, Department of Population and Data Sciences, Department of Bioinformatics at the University of Texas Southwestern Medical Center, will present:
“Machine Learning and Spatial Modelling for Cancer Pathology Images”
Abstract: With the advance of technology, tumor tissue histology slide scanning is fast becoming a routine clinical procedure, producing massive digital pathological images that capture histological details in high resolution. Reliable computational methods that predict patient prognosis and treatment response using tumor pathological slides will have an immediate impact on patient care in cancer. The spatial organization of different types of cells in tumor tissues reveals important information about the tumor microenvironment. In order to facilitate the study of cellular spatial organization and intercellular interactions, we developed computational algorithms to predict patient outcomes, as well as analysis tools to characterize the tumor microenvironment from standard Hematoxylin and Eosin (H&E)-stained pathology images.
A social tea will be held at 3:00 p.m. in A434 Mayo. All are Welcome.