Machine learning identifies an immunological pattern associated with multiple juvenile idiopathic arthritis subtypes

Keyphrases

• Active Disease 10%
• Adaptive Immune Response 20%
• Age-matched 10%
• Childhood Rheumatic Diseases 10%
• Clinical Heterogeneity 10%
• Disease Subsets 10%
• Flow Cytometry 10%
• Healthy children 10%
• Healthy Controls 10%
• Healthy Individuals 20%
• Immune Parameters 10%
• Immune Process 10%
• Immune Profiling 10%
• Immune Signature 30%
• Immunological Changes 10%
• Immunological Pattern 100%
• Inflammatory Diseases 10%
• Innate Immune Response 10%
• Machine Learning 100%
• Machine Learning Analysis 10%
• Machine Learning Approach 10%
• Response Group 10%
• Systemic Juvenile Idiopathic Arthritis (sJIA) 100%
• Treatment Response 10%

Immunology and Microbiology

• Adaptive Immune System 10%
• Immunity 60%
• Inflammatory Disorder 10%
• Juvenile Idiopathic Arthritis 100%
• Rheumatic Disease 10%