Characterising global antimicrobial resistance research explains why One Health solutions are slow in development: An application of AI-based gap analysis

The global health crisis of antimicrobial resistance (AMR) necessitates a One Health approach, but multisectoral, multidisciplinary research is rare. A study compiled 254,738 articles using Artificial Intelligence (AI) to create a database and information retrieval system for knowledge extraction on research over the last 20 years. Global maps were created to identify regional, methodological, and sectoral AMR research activities. Greater harmonisation in research methods across sectors and regions is urgently needed. Differences in analytical methods, such as culture-based versus genomic methods, result in poor communication between sectors, preventing One Health-based solutions. The study suggests performing culture-based and genomic AMR analysis in tandem for data integration and holistic One Health solutions. Increased investment in capacity development in low-income countries (LICs) is also recommended.