Swalife AI-Powered Network Analysis Tool: An Intelligent Platform for Herb-Disease-Protein Interaction Mining

The integration of artificial intelligence (AI) in biomedical research has revolutionized data analysis, yet researchers continue to face challenges in efficiently identifying and interpreting complex relationships among herbs, diseases, and protein targets. Traditional literature review and database exploration methods are time-intensive, fragmented, and often fail to capture the multi-dimensional nature of biological interactions involved in herbal therapeutics.To address this gap, the Swalife AI-Powered Network Analysis Tool has been developed as an intelligent platform that automates literature mining, data integration, and network visualization. By combining data from PubMed and UniProt, the tool constructs herb-disease-protein interaction networks, enabling users to uncover potential molecular targets and biological pathways relevant to drug discovery, systems pharmacology, and personalized medicine.The tool allows users to input disease and herb parameters to retrieve related scientific articles, identify target proteins, and visualize interactive biological networks. Its features such as downloadable data outputs and graphical mapping facilitate in-depth exploration of molecular mechanisms underlying herbal actions. The platform ultimately accelerates hypothesis generation, enhances research efficiency, and bridges the gap between traditional medicine and modern molecular biology.