Review highlights AI's role in drug discovery for neurodegenerative diseases using traditional Chinese medicine strategies.
Key Points
This review aims to explore the integration of AI and network pharmacology in understanding the therapeutic mechanisms of traditional Chinese medicine for neurodegenerative diseases.
Reviewed advances in AI-driven network pharmacology applications for TCM in major neurodegenerative diseases
Examined methodological frameworks and validation challenges
Assessed the clinical translation potential of findings
AI-TCM-NP integration shows promise in facilitating drug discovery and biomarker identification
Significant gaps exist between computational predictions and experimental validation
Future research directions are suggested for applying computational approaches to traditional medicine.