Estimating provisional margins of exposure for data-poor chemicals using high-throughput computational methods
Current computational technologies hold promise for prioritizing the testing of the thousands of chemicals in commerce. Here, a case study is presented demonstrating comparative risk-prioritization approaches based on the ratio of surrogate hazard and exposure data, called margins of exposure (MoEs)...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Book |
| Published: |
Frontiers Media S.A.,
2022-10-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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