Machine Learning (ML) is increasingly applied to fill data gaps in assessments to quantify
impacts associated with chemical emissions and chemicals in products. However, the …

Interior paints contain organic chemicals that might be harmful to painters and building
residents. This study aims to develop a high-throughput approach to screen near-field …

Chemicals assessment and management frameworks rely on regulatory toxicity values,
which are based on points of departure (POD) identified following rigorous dose–response …

Regulatory dose–response assessments traditionally rely on in vivo data and default
assumptions. New Approach Methods (NAMs) present considerable opportunities to both …

Ongoing efforts focus on quantifying plastic pollution and describing and estimating the
related magnitude of exposure and impacts on human and environmental health. Data …

There are two primary sources of uncertainty in the interpretability of toxicity values, like the
reference dose (RfD): estimates of the point of departure (POD) and the absence of chemical …

Per-and Polyfluoroalkyl substances (PFAS) are a class of manufactured chemicals that are
in widespread use and many present concerns for persistence, bioaccumulation and toxicity …

Purpose This study focuses on updating, improving, and expanding the extrapolation factors
needed to convert various acute or chronic effect concentration indicators into consistent …

Purpose This paper addresses the lack of ecotoxicity characterization factors (CFs) for
persistent and mobile (PM) chemicals in life cycle assessment. The specific aims are (1) to …

Chemical points of departure (PODs) for critical health effects are crucial for evaluating and
managing human health risks and impacts from exposure. However, PODs are unavailable …