Comprehensive machine learning for identifying platelet-associated diagnostic biomarkers and immune landscape in Kawasaki disease

This study utilized platelet-associated biomarkers to establish a machine learning-based diagnostic model for KD and elucidated their pathogenic roles in immune dysregulation and vascular injury, thereby laying the foundation for improved diagnosis and targeted therapy in KD.