Machine Learning in Medical Imaging: From New Techniques to Clinical Translation

The Marvin Zelen Symposium is our flagship annual conference promoting #datascience in the public sphere. The event is named after Marvin Zelen, PhD, founder of the Department of Data Science at Dana-Farber Cancer Institute and an important figure in bringing applied #statistics to prominence.
#Zelen2023 Agenda & Speakers
0:05 Marzyeh Ghassemi (Assistant Professor, MIT)
Designing Machine Learning Processes For Equitable Health Systems
36:31 Jonathan Chen (Instructor in Pathology, MGH)
Multicellular Networks: Immunity Hubs in Human NSCLC
1:01:08 Jayashree Kalpathy-Cramer (Professor, University of Colorado, MGH, and HMS)
Opportunities and Challenges for Medical Imaging AI - Lessons from Oncology and Ophthalmology
1:24:15 Bill Lotter (Member of the Faculty, DFCI and HMS)
AI for Mammography: From Algorithms to Clinical Integration
1:53:46 Shantanu Singh (Senior Group Leader, Broad Institute)
Fortune-telling with Images: Painting Cells for Discovering Drugs
2:21:46 Andy Beck (Co-founder & CEO, Path AI)
Emerging Methods in Machine Learning and Applications for Digital Pathology
2:44:35 Polina Golland (Professor, MIT)
Learning to Read X-ray: Applications to Heart Failure Monitoring
Special thanks to Frontier Science Foundation