Improving Health Equity Bit by Bit with AI Modeling || Jaysón Davidson @ucsf
Improving Health Equity Bit by Bit with AI Modeling || Jaysón Davidson  @ucsf
Uploaded May 2023 | Updated September 2026, 2 weeks ago
Using AI models, Jaysón Davidson's research suggests that by using social determinants of health, we can reduce the inequity that exists in out health care system, especially when it comes to diabetes. Housing, employment, education, and poverty status all factor in to health outcomes.
He found that patients from poor neighborhoods were prescribed cheaper and possibly less effective treatments.

Davidson won second prize at UCSF Grad Slam 2023, a competition that challenges PhD students to present a compelling talk on their research in three minutes or less using compelling language that non-specialists can understand.

For students, the contest is an incentive to clarify their ideas and to help others understand and appreciate the significance of their work. For the audience, it's an entertaining glimpse into research graduate students are engaged in. https://graduate.ucsf.edu/grad-slam

View all 10 Grad Slam competition talks: youtube.com/playlist?list=PLVLbDUiGesPxqpjXZ6PUZOLQ8QPoSQZbk

Jaysón Davidson's is part of the UCSF Pharmaceutical Sciences and Pharmacogenomics Program
Atul Butte, MD, PhD, faculty mentor
https://graduate.ucsf.edu/pspg
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Improving Health Equity Bit by Bit with AI Modeling || Jaysón Davidson

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