Grad Student Seminar: Eric Friedlander
Joint Image and Genomic Analysis for Breast Cancer
Current clinical practice for the diagnosis of cancer is through biopsies with pathology reviews. More recently genomic data has been used for a refined diagnosis and in particular for tumor classification to enable patient-specific treatment and improved long-term disease prognosis. In an ongoing collaboration with researchers in the Computer Science Department and Lineberger Collaborative Cancer Center we are working to improve prognosis by combining both pathological image and genomic information. In this talk, I will discuss the progress of the project up to this point and outline some future questions. This talk may be of special interest to first and second year students as there is the opportunity (and funding) to get involved in this project going forward under the supervision of Professor J.S. Marron.