Advances in Biomedical Literature Mining: A Comparative Review of Tools and the Emergence of the Swalife AI-Powered Platform

Abstract

The biomedical literature continues to expand at an unprecedented rate, creating significant challenges for researchers to efficiently extract actionable knowledge. Traditional literature mining tools often focus on narrow domains or lack integration of natural product research, limiting their utility in drug discovery. Artificial intelligence (AI) and natural language processing (NLP) have revolutionized biomedical text mining, enabling higher accuracy and broader scope. This review critically evaluates major biomedical literature mining platforms, highlighting their strengths and limitations, especially concerning herbal therapeutics and protein target analysis. We introduce the Swalife AI-powered tool, which uniquely integrates herb–disease–protein mining with AIdriven filtering and dynamic network visualization. Swalife addresses critical gaps by delivering a comprehensive, exportable platform tailored to natural product research, expediting drug discovery and systems pharmacology investigations.