Qingxian Su

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...