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Shepherd Research Lab Blog

Advanced Machine Learning Methods For Personalized Cancer Screening

by Margaretta Colangelo

On December 2, 2022, the AI Precision Health Institute at the University of Hawaiʻi Cancer Center is hosting the second seminar in a series on AI in cancer research and clinical practice. This seminar entitled The Seeing into the future: Machine Learning Methods for Personalized Cancer Screening will be presented by Adam Yala, PhD via Zoom. Prof. Yala is assistant professor of Computational Precision Health and EECS at UC Berkeley and UCSF. His research focuses on developing machine learning methods for personalized medicine and translating them to clinical care. His research has contributed to three areas:

  1. predicting future cancer risk
  2. designing personalized screening policies
  3. private data sharing through neural obfuscation.

Prof. Yala’s tools underly multiple prospective trials and his research has been featured in the Washington Post, New York Times, Boston Globe and Wired. Prof Yala obtained his BS, MEng and PhD in Computer Science from MIT and he was a member of MIT Jameel Clinic and MIT CSAIL.

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