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Driving Disease Risk Prediction and Preventative Healthcare with AI - with Dan Elton of the National Human Genome Research Institute

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Manage episode 459794948 series 79750
Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Today’s guest is Dan Elton, Staff Scientist at the National Human Genome Research Institute (NHGRI) at the National Institutes of Health (NIH). Dan returns to explore the transformative role of AI in healthcare. In his new role, Dan shares how his work at NIH focuses on integrating diverse datasets—including genetics, electronic health records (EHR), and imaging—to advance disease risk prediction and personalized medicine. He sheds light on NIH’s efforts to create integrated data platforms, leveraging initiatives like the All of Us Program to enhance research accessibility and innovation. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

  continue reading

934 episodes

Artwork
iconShare
 
Manage episode 459794948 series 79750
Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Today’s guest is Dan Elton, Staff Scientist at the National Human Genome Research Institute (NHGRI) at the National Institutes of Health (NIH). Dan returns to explore the transformative role of AI in healthcare. In his new role, Dan shares how his work at NIH focuses on integrating diverse datasets—including genetics, electronic health records (EHR), and imaging—to advance disease risk prediction and personalized medicine. He sheds light on NIH’s efforts to create integrated data platforms, leveraging initiatives like the All of Us Program to enhance research accessibility and innovation. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

  continue reading

934 episodes

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