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Combining Arsenic Data Across Populations Sheds Light on Exposure Sources


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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 September 7, 2022  4m