ABSTRACT Pediatric cancer is a significant cause of morbidity and mortality in children. The etiologies of pediatric cancer are largely unknown, but environmental pesticide exposures are likely to contribute. Chronic low‐dose exposure to pesticide mixtures through drinking water is a growing concern in agricultural communities.
Grace N. VanDeSteeg +4 more
wiley +1 more source
ABSTRACT Objective This study aims to explore the association between exposure to di‐(2‐ethylhexyl) phthalate (DEHP) and diabetic kidney disease (DKD), and to elucidate its potential molecular mechanisms. The study findings provide scientific evidence for the prevention and control of environmental risk factors related to DKD.
Dapeng Yin +6 more
wiley +1 more source
Protocol for analyzing potential targets of environmental pollutants in human diseases using network toxicology and molecular docking. [PDF]
Hong Y +6 more
europepmc +1 more source
Abstract Background A handheld smartphone‐based computer vision algorithm (RealHorse® [RH]) offers accessible alternatives for equine gait analysis but requires validation against a gold‐standard three‐dimensional multicamera optical motion capture system (Qualisys® [QS]).
Karsten Key +4 more
wiley +1 more source
Accelerating AOP Development in the AOP-Wiki with AI: A Practical Road Map for the Community. [PDF]
Song Y +4 more
europepmc +1 more source
Next generation validation for next generation risk assessment. [PDF]
Kopańska K, Hartung T.
europepmc +1 more source
Exploring the Toxicological Relationship Between Diisononyl Cyclohexane-1,2-dicarboxylate and Atherosclerosis Through Network Toxicology, Machine Learning, and Multi-Dimensional Bioinformatics. [PDF]
Cao J +6 more
europepmc +1 more source
Potential for Computational Genotoxicity: A Report on Symposium 3 of the 53rd Annual Meeting of the Japanese Environmental Mutagen and Genome Society (JEMS), 2024. [PDF]
Koyama N +4 more
europepmc +1 more source
Environmental toxicant glyphosate induces cardiotoxicity: New insights from network toxicology, integrated machine learning, molecular modeling and multidimensional bioinformatics analysis. [PDF]
Sun M, Wang Y, Tong R, Yan R, Pu J.
europepmc +1 more source

