A paradigm shift and practical exploration in veterinary pharmacology and toxicology teaching reform in China's frontier regions under AI empowerment.

Abstract

Veterinary pharmacology and toxicology education in Southwest China's border regions faces unique challenges, including plateau animal diseases and transnational epidemic control, and the need for strict veterinary drug residue monitoring and toxic risk prevention, which traditional teaching methods cannot adequately address. This study explores an AI-driven educational reform centered on data-driven instruction and virtual reality integration. By constructing dynamic regional knowledge graphs, personalized learning pathways, and high-fidelity simulation platforms for plateau pharmacology experiments, clinical decision-making, and toxicological risk assessment, we establish an intelligent teaching system tailored to frontier characteristics. The system deeply integrates pharmacological efficacy research with toxicological safety evaluation, an integration emphasized as the cornerstone of veterinary practice in ensuring drug safety, controlling residue risks, and safeguarding the "One World, One Health" paradigm. The reform also addresses digital divide risks while developing a multidimensional evaluation framework covering both therapeutic effectiveness and toxicological safety competencies. This paradigm shift aims to enhance the quality of veterinary pharmacology and toxicology education in border regions by providing systematic solutions for cultivating professionals capable of balancing drug efficacy and safety, addressing regional toxicological challenges, and serving regional development needs.