Frederick Howard, MD
American Board of Internal Medicine
Medical Oncology, American Board of Internal Medicine
Hematology, American Board of Internal Medicine
|Instructor (Elwood V. Jensen Scholar)
Hematology and Oncology, University of Chicago, Chicago, IL
Dr. Howard’s research focuses on answering several important questions at the intersection of digital health and breast medical oncology: 1) Can artificial intelligence be used to improve prediction of response to therapy in breast cancer, and thus lead to better personalization of therapies? 2) Can deep learning use readily available pathologic and imaging data to improve upon or supplement existing genomic biomarkers in breast cancer in order to reduce cost, prevent unnecessary treatment delays, and improve access to biomarkers? and 3) Given the rapid growth of big data / artificial intelligence tools in oncology, what safeguards need to be in place to ensure these tools do not recapitulate healthcare disparities that are currently prevalent in cancer care.