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Combining Arsenic Data Across Populations Sheds Light on Exposure Sources
Manage episode 340495075 series 3017470
Indhold leveret af Adeline Lopez and NIEHS Superfund Research Program. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Adeline Lopez and NIEHS Superfund Research Program eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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.
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