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Artificial Intelligence–Augmented Mixture Toxicology: Reframing Unresolved Risk at Camp Lejeune

delete2026-06-01
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PRE
AI
P
Peter Pressman *
A
A Wallace Hayes
DOI：10.1093/toxsci/kfag066delete
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Abstract

Abstract

En 中文
Persistent uncertainty regarding health risks associated with contaminated drinking water at Camp Lejeune reflects a broader limitation in toxicology: The difficulty of evaluating complex chemical mixtures in genetically heterogeneous populations. Historical assessments have relied on single-chemical paradigms, assumptions of dose additivity, and population-average susceptibility. These approaches are not well aligned with exposures involving multiple volatile organic compounds (VOCs) that share metabolic pathways and generate reactive intermediates.

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Toxicological Sciences cover
Toxicological Sciences
IF:
4.1
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1.6W

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university of maine
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university of south florida
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