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Combining Arsenic Data Across Populations Sheds Light on Exposure Sources

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Manage episode 340495075 series 3017470
Content provided by Adeline Lopez and NIEHS Superfund Research Program. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adeline Lopez and NIEHS Superfund Research Program 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.
By combining data across three different populations, NIEHS Superfund Research Program (SRP) researchers were able to better characterize sources of arsenic exposure that should be included in risk assessments. The study was a collaboration among the University of California (UC), Berkeley, University of New Mexico (UNM), and Columbia University SRP centers.
  continue reading

159 episodes

Artwork
iconShare
 
Manage episode 340495075 series 3017470
Content provided by Adeline Lopez and NIEHS Superfund Research Program. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adeline Lopez and NIEHS Superfund Research Program 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.
By combining data across three different populations, NIEHS Superfund Research Program (SRP) researchers were able to better characterize sources of arsenic exposure that should be included in risk assessments. The study was a collaboration among the University of California (UC), Berkeley, University of New Mexico (UNM), and Columbia University SRP centers.
  continue reading

159 episodes

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