Computational Methods in Digital Health: Lessons learned from ongoing UCSF research projects @UCSFSchoolofMedicine
Computational Methods in Digital Health: Lessons learned from ongoing UCSF research projects  @UCSFSchoolofMedicine
Uploaded December 2021 | Updated September 2026, 2 weeks ago
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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Computational Methods in Digital Health: Lessons learned from ongoing UCSF research projects

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