Environmental science & technologyMachine LearningWater QualityWater PollutantsChemicalFluorocarbons
Machine Learning-Driven Cross-Species Toxicity Prediction for Advancing Ecologically Relevant PFAS Water Quality Criteria.
Weigang Liang, Jingya Li, Xiaolei Wang, John P Giesy, Xiaoli Zhao
Published: 202510.1021/acs.est.5c12013
Abstract
Traditional toxicity testing cannot keep pace with the rapid growth of synthetic chemicals, creating major data gaps that hinder the development of water quality criteria (WQC) for emerging contaminants. This study developed a machine learning model…
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