Mammography is a critical tool in breast cancer diagnosis, offering powerful visual analysis of complex biological conditions. Join Koch Institute faculty member Regina Barzilay, Delta Electronics Professor at CSAIL, and her collaborator Connie Lehman, Professor of Radiology at Harvard Medical School and Chief of Breast Imaging at Massachusetts General Hospital, to find out how they are working together to integrate machine learning algorithms into clinical care for improved patient outcomes. Barzilay, motivated in part by her own experience with breast cancer, will discuss how she uses machine learning tools to improve consistency and accuracy in mammography assessments, while Lehman will share perspectives on the strengths and limitations of current approaches to mammography and elements critical for successful integration of AI discoveries into clinical care. Following their presentations, the team will sit down in conversation with Linda Pizzuti Henry, Managing Director of The Boston Globe, to offer insight into the future of mammography and shed new light on novel solutions for biomedical challenges.
Regina Barzilay, PhD
Member, Koch Institute for Integrative Cancer Research at MIT
Delta Electronics Professor, Department of Electrical Engineering and Computer Science
Constance Lehman, MD, PhD
Director of Breast Imaging and Co-Director, Avon Comprehensive Breast Evaluation Center,
Massachusetts General Hospital
Professor of Radiology, Harvard Medical School
Moderated by Linda Pizzuti Henry, Managing Director, The Boston Globe and co-founder, HUBweek, with opening remarks by Susan Hockfield, PhD, MIT President Emerita and Member, Koch Institute.
Reception at 5:30, Presentations at 6:00. Registration is not yet available.