https://www.selleckchem.com/products/U0126.html Level of evidence IV. Inconsistent associations between long-term exposure to particles with an aerodynamic diameter ≤ 2.5   μ m [fine particulate matter ( PM 2.5 )] components and mortality have been reported, partly related to challenges in exposure assessment. We investigated the associations between long-term exposure to PM 2.5 elemental components and mortality in a large pooled European cohort; to compare health effects of PM 2.5 components estimated with two exposure modeling approaches, namely, supervised linear regression (SLR) and random forest (RF) algorithms. We pooled data from eight European cohorts with 323,782 participants, average 2.5 mass. Associations with cause-specific mortality were less consistent in two-pollutant models. Long-term exposure to V in PM 2.5 was most consistently associated with increased mortality. Associations for the other components were weaker for exposure modeled with RF than SLR in two-pollutant models. https//doi.org/10.1289/EHP8368. Long-term exposure to V in PM2.5 was most consistently associated with increased mortality. Associations for the other components were weaker for exposure modeled with RF than SLR in two-pollutant models. https//doi.org/10.1289/EHP8368. Inhibition of acetylcholinesterase (AChE), a biomarker of organophosphorous and carbamate exposure in environmental and occupational human health, has been commonly used to identify potential safety liabilities. So far, many environmental chemicals, including drug candidates, food additives, and industrial chemicals, have not been thoroughly evaluated for their inhibitory effects on AChE activity. AChE inhibitors can have therapeutic applications (e.g., tacrine and donepezil) or neurotoxic consequences (e.g., insecticides and nerve agents). The objective of the current study was to identify environmental chemicals that inhibit AChE activity using and models. To identify AChE inhibitors rapidly and efficiently, we