Open access
Jul 2026
A machine learning approach to metabolomics identifies putative biomarker candidates and dysregulated pathways for distinguishing gout from asymptomatic hyperuricemia in the Zhuang population
This study suggests sex-specific metabolic alterations in gout and provides robust machine learning-based models for male participants, and provides a basis for mechanism-targeted strategies in HUA management.
Yu Wei, Xiao-Qiang Qiu, Li Su et al.
· Metabolomics · 1 citation