Author

Ling N. Jin

2 papers indexed here

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Review Aug 2026

AI-driven cardiovascular toxicity assessment of emerging contaminants in water: from deep learning phenotyping to LLM-orchestrated risk evaluation.

A large language model-driven environmental risk assessment agent is proposed that orchestrates analytical workflows progressing from in vitro alert to in vivo validation, integrates multi-tier toxicity data, and generates interpretable and standardized risk outputs, thereby improving the efficiency and scalability of...

Li-Xiao Zhang, Zhi-Chao Zhu, Li-Ming Chen et al. · Water Research · 0 citations

Open access Jul 2026

Attribution of PM2.5-Induced Transcriptomic Perturbation to Toxic Components.

Ambient fine particulate matter (PM2.5) is a chemically complex mixture whose health impacts are not fully captured by particle mass. Here, we developed an interpretable chemotranscriptomic framework to attribute PM2.5-induced molecular perturbations to toxicity-relevant components. PM2.5 collected from urban roadside...

Shihao Wang, Xinyu Li, Yong Han et al. · Environmental Science and Te... · 0 citations