Regina Barzilay
雷吉娜·巴尔齐莱
PhD
School of Engineering Distinguished Professor of AI and Health; Faculty Lead, MIT Jameel Clinic工程学院AI与健康杰出教授；MIT Jameel诊所学术负责人
👥Biography 个人简介
Regina Barzilay is a Distinguished Professor at MIT CSAIL and faculty lead at the MIT Abdul Latif Jameel Clinic for Machine Learning in Health. A breast cancer survivor herself, she pioneered deep learning models for mammography-based cancer risk prediction and NLP systems to mine oncology clinical notes, transforming AI-driven early cancer detection.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
Mammography Risk Prediction
Developed Mirai, a deep learning model that predicts 5-year breast cancer risk from screening mammograms, significantly outperforming traditional clinical risk models across diverse patient populations.
NLP for Oncology
Created NLP frameworks to extract treatment response and disease trajectory data from unstructured clinical notes at scale, enabling large-cohort real-world evidence studies in oncology.
Representative Works 代表性著作
Mirai: Obtaining Accurate, High-Quality Mammography-Based Cancer Risk Predictions
Journal of Clinical Oncology (2022)
Landmark validation of Mirai across three international cohorts demonstrating superior breast cancer risk stratification.
Deep Learning for Predicting Breast Cancer Risk from Mammograms
Radiology (2019)
Demonstrated that a deep learning model trained on mammograms can predict future breast cancer diagnosis beyond BI-RADS density.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-01-15 | All information from publicly available academic sources
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