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Diagnosing the undiagnosed and combining international health records with Isaac Kohane

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Manage episode 280680945 series 2769784
Content provided by Anika Gupta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anika Gupta 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://player.fm/legal.

Rare diseases present a unique challenge in both diagnosis and treatment, given the small number of cases, often leaving them undiagnosed. I talk with Professor Isaac Kohane of Harvard Medical School about the Undiagnosed Diseases Network's efforts to catalogue and diagnose rare diseases, focusing on the role that data science--specifically, merging genotype and phenotype information, can play in bringing about hope to the families of affected individuals. We also discuss efforts to aggregate EHR data from hospitals across the world in order to better predict COVID-related symptoms and outcomes, faster than most healthcare systems have been able to.

Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary

--- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support
  continue reading

25 episodes

Artwork
iconShare
 
Manage episode 280680945 series 2769784
Content provided by Anika Gupta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anika Gupta 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://player.fm/legal.

Rare diseases present a unique challenge in both diagnosis and treatment, given the small number of cases, often leaving them undiagnosed. I talk with Professor Isaac Kohane of Harvard Medical School about the Undiagnosed Diseases Network's efforts to catalogue and diagnose rare diseases, focusing on the role that data science--specifically, merging genotype and phenotype information, can play in bringing about hope to the families of affected individuals. We also discuss efforts to aggregate EHR data from hospitals across the world in order to better predict COVID-related symptoms and outcomes, faster than most healthcare systems have been able to.

Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary

--- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support
  continue reading

25 episodes

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