The article explores the transformative potential of Artificial Intelligence (AI) in modernizing the study and application of Traditional Chinese Medicine (TCM) for treating stroke. The authors detail how TCM has shown efficacy in stroke recovery, but its complex, multi-component nature creates challenges for traditional research methods like compound screening and network pharmacology. The core of the paper focuses on how cutting-edge AI technologies—specifically Large Language Models (LLMs) and AI-integrated Virtual Cell (AIVC) models—can overcome these limitations by integrating diverse datasets, from ancient texts to multi-omics data, to elucidate multi-target therapeutic mechanisms. The article proposes theoretical frameworks for applying AI in both basic research (target prediction and validation) and clinical research (personalized treatment and diagnosis), aiming to move TCM from subjective, experience-based practice toward objective, precision medicine.

References:

• Meng Q, Mi Y, Wang F, et al. Intelligent technology leads the transformation of traditional Chinese medicine: Large models and virtual cells aid modern analysis of stroke treatment[J]. Pharmacological Research, 2025: 107953.