Advances in AI-based patient stratification for rheumatic diseases

Rachel Knevel

doi:10.1038/s41584-025-01337-3

Advances in AI-based patient stratification for rheumatic diseases

Rachel Knevel^*

^*Corresponding author for this work

Pattern Recognition and Bioinformatics

Research output: Contribution to journal › Review article › peer-review

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.

Original language	English
Pages (from-to)	75-77
Number of pages	3
Journal	Nature Reviews Rheumatology
Volume	22 (2026)
Issue number	2
DOIs	https://doi.org/10.1038/s41584-025-01337-3
Publication status	Published - 2025

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title = "Advances in AI-based patient stratification for rheumatic diseases",

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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Advances in AI-based patient stratification for rheumatic diseases

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