Against the backdrop of the construction of New Medical Sciences and the rapid advancement of artificial intelligence (AI) technologies, postgraduate education in pharmacology faces problems such as accelerated iteration of disciplinary knowledge, insufficient cultivation of scientific research thinking, and ambiguous pathways for integrating AI into core curricula. Based on teaching practice, this paper explores an artificial intelligence (AI)-integrated teaching model for postgraduate students majoring in pharmacology along three main threads: literature analysis, experimental design, and academic expression. By introducing authentic research scenarios including intelligent deduction of GLP-1 mechanisms, AI-assisted PK prediction, and simulated defense on animal ethics, an integrated training pathway linking teaching and scientific research is established. This paper puts forward corresponding countermeasures for potential challenges in practical promotion and application, and hopes to offer references for postgraduate education in pharmacology as well as the teaching reform of pharmacy-related majors.

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