Computational Methods in Digital Health: Lessons learned from ongoing UCSF research projects
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 Published On Dec 15, 2021

The DEB Digital Health Initiative presents a seminar on computational methods in digital health research. Panelists Drs. Thu Nguyen, John Kornak, and Geoff Tison discuss their current work using machine learning for health equity research, Bayesian imaging analysis, and combining machine learning with large scale epidemiological and clinical research methods. Moderator, Dr. Jean Feng, then leads the panelists in an interactive Q&A session on best practices, challenges, and common approaches across projects.

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