Cancer Diagnosis Program Science Session Series: AI-Driven Imaging Biomarkers in Genitourinary Cancers

About this Class

Dr. Stephanie Harmon obtained her Ph.D. in medical physics at the University of Wisconsin–Madison and did her postgraduate training at Leidos Biomedical Research where she worked within the Molecular Imaging Branch and investigated computational biomarkers in various state-of-the-art prostate imaging modalities. In 2020, she became a staff scientist within the newly formed Artificial Intelligence Resource of the NCI.

Dr. Harmon’s research interests focus on computational approaches, including computer vision and artificial intelligence, for combining multiscale biological and clinicopathological data to model cancer and cancer-related outcomes. She investigates the functional relationship of imaging characteristics across biological scales and their role in phenotypic heterogeneity in various cancer types. Her research centers around the idea that the use of integrative biomarkers from various imaging scales could enhance the understanding of disease and the role of imaging in cancer diagnosis and treatment. Her long-term goal is to identify interpretable imaging-based biomarkers on histopathological images that can predict underlying molecular phenotypes and translate these findings to improve diagnosis, treatment, and patient outcomes in various cancers.

Dr. Harmon received many awards during her training, including the Prostate Cancer Foundation Young Investigator Award and the NCI Director’s Intramural Innovation Award.

Dr. Harmon has published over 75 peer-reviewed articles, including publications in the Journal of Nuclear Medicine, PLOS One, JAMA Oncology, Cancer Imaging, Radiology, American Journal of Pathology, Journal of Medical Imaging, Nature Medicine, Journal of Clinical Oncology, Clinical Cancer Research, and Nature Communications.

For more information, please contact Aniruddha Ganguly, Ph.D.

Meeting number (access code): 2319 301 4914

Meeting password: KpxUgxg$372