Opportunities and Challenges in AI-Empowered Tibetan Medicine R&D
Ma Xiaofeng
Huang Wenyi
Abstract：Despite possessing a unique theoretical framework of"Three Causes and Five Sources"and abundant plateau medicine resources,Tibetan medicine currently faces critical bottlenecks in R&D(research&development),including unclear material foundation,undefined pharmacological mechanisms,and absent quality standard.This ar-ticle has systematically reviewed the opportunities and challenges of AI(artificial intelligence)in modernizing Tibet-an medicine R&D.In terms of opportunities,AI can be leveraged to construct specialized databases and knowledge graphs for Tibetan medicine,enable high-throughput screening of active ingredients and multi-target mechanism analysis,and establish intelligent systems ranging from medicinal material identification to drug quality control.The challenges,however,center on the fragmentation and non-standardization of Tibetan medicine data,semantic gap be-tween traditional theories and modern algorithms,and shortage of interdisciplinary talents.Looking ahead,only by strengthening foundational data infrastructure,developing specialized algorithm models tailored to Tibetan medical theories,and building deeply integrated interdisciplinary teams can AI fully unleash its role as the core engine to guide the Tibetan medicine industry toward high-quality and sustainable development.
Keywords：Tibetan medicineR&DAIDatabaseActive ingredients
Publication Date：2025-12-31
Online Publishing Date：2026-01-28(First online date of this platform, not the publication date of the document)
Pages：8( 81-88 )