Advances in AI-based patient stratification for rheumatic diseases

Review (2025)
Author(s)

Rachel Knevel (Leiden University Medical Center, TU Delft - Electrical Engineering, Mathematics and Computer Science, Newcastle University)

Research Group
Pattern Recognition and Bioinformatics
DOI related publication
https://doi.org/10.1038/s41584-025-01337-3 Final published version
More Info
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Publication Year
2025
Language
English
Research Group
Pattern Recognition and Bioinformatics
Journal title
Nature Reviews Rheumatology
Issue number
2
Volume number
22 (2026)
Pages (from-to)
75-77
Downloads counter
25
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Abstract

Advances in artificial intelligence (AI) are transforming patient stratification in rheumatology. In 2025, three landmark studies demonstrated how multimodal AI approaches spanning clinical, molecular and longitudinal data can uncover distinct disease subtypes and predict therapeutic response, advancing the field towards precision rheumatology.

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