Advances in the Co-Host Immune Response to Multisystem Inflammatory Syndrome and Kawasaki Disease in Children with AI-Guided Features

Purpose: To explore the role of artificial intelligence in immune response mechanism children with multi-system inflammatory syndrome and Kawasaki disease. Methods: search domestic foreign literatures about these two diseases, analyze according to characteristics intelligence. Results: AI analysis showed that kinds children's were concentrated cytokine storm centered on il-15/IL15RA, which confirmed diseases had same initial pathway, but differences phenotype, cytokine, cell count other aspects suggested KD MIS-C different diseases. Conclusion: It shows applicability this research direction, points out limitations current scope samples. The difference between results guides direction future research. Accurate comprehensive laboratory indicators parameters can be applied provide basis for diagnosis treatment As number infected people increases, problem sample limitation work also improved.