Understanding Further the Phenotypic Spectrum of Central Nervous System Inflammatory Demyelinating Disorders Using Unsupervised Clustering

Key Points

• This study aims to refine the classification of central nervous system demyelinating disorders through unsupervised clustering.
• Utilized unsupervised clustering techniques
• Analyzed clinical data of double-seronegative AIDD
• Examined phenotypic variations based on data patterns
• Identified distinct phenotypic subgroups within antibody-negative CNS demyelination
• Enhanced understanding of heterogeneity in AIDD
• Provided insights that may guide future biomarker development and treatment strategies