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A.I. in Medicine: Predicting Cancer & Transforming Healthcare – with Dr. Adam Yala
- 2025/03/12
- 再生時間： 1 時間 31 分
- ポッドキャスト
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サマリー
あらすじ・解説
In this episode, we’re joined by Dr. Adam Yala to explore his groundbreaking research on using A.I. to predict breast cancer with his deep learning model, Mirai. We dive into the potential of A.I. in healthcare, the challenges it faces, and what the future may hold—including whether A.I. could one day take on the roles of nurses and practitioners. This is a fascinating and eye-opening look at how A.I. is transforming medicine today and what’s next on the horizon.
Dr. Yala is an assistant professor of Computational Precision Health at UC Berkeley and UCSF. His research focuses on developing machine learning methods for personalized medicine and translating them into clinical care.
His previous research has focused on two areas: 1) predicting future cancer risk, and 2) designing personalized screening policies. His breast cancer tool, Mirai, has been tested at 43 hospitals from 14 countries.
Adam's tools now underly prospective trials, and his research has been featured in the Washington Post, New York Times, and the Boston Globe. Prof Yala obtained his BS, MEng and PhD in Computer Science from MIT where he was a member of MIT Jameel Clinic and MIT CSAIL.