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Open AccessReview
Bridging the Precision Gap in Rheumatoid Arthritis: Spatial Transcriptomics, Spatial Proteomics, and Artificial Intelligence in Precision Health
by
Maliha Mashkoor
Maliha Mashkoor 1,2,
Shihua Zhang
Shihua Zhang 2,3,4,5 and
Allan Stensballe
Allan Stensballe 1,6,*
1
Department of Health Science and Technology, The Faculty of Medicine, Aalborg University, 9000 Aalborg, Denmark
2
Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences, Beijing 100190, China
3
State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
4
School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
5
Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 310024, China
6
Clinical Cancer Research Center, Aalborg University Hospital, 9000 Aalborg, Denmark
*
Author to whom correspondence should be addressed.
Biomedicines 2026, 14(3), 668; https://doi.org/10.3390/biomedicines14030668 (registering DOI)
Submission received: 20 January 2026
/
Revised: 9 March 2026
/
Accepted: 11 March 2026
/
Published: 14 March 2026
Abstract
Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by complex immune cell associations and continuous joint damage. Personalized clinical assessment and treatment options for RA remain hindered by a precision gap due to an inability to precisely match current global treatment strategies to individual molecular and spatial disease profiles. Recent advances in spatial transcriptomics and proteomics offer unprecedented opportunities to map molecular heterogeneity and spatial heterogeneity within RA tissues by identifying immune microenvironments activated during the disease, thus enabling precise therapeutic targeting. These techniques address the precision gap in RA by identifying distinct pathogenic subpopulations and cellular niches, providing insights into the biomolecules that possess significant therapeutic responses and are involved in disease progression. This review synthesizes recent findings demonstrating how spatial omics technologies, including spatial transcriptomics and proteomics, together with artificial intelligence, are transforming precision rheumatology.
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MDPI and ACS Style
Mashkoor, M.; Zhang, S.; Stensballe, A.
Bridging the Precision Gap in Rheumatoid Arthritis: Spatial Transcriptomics, Spatial Proteomics, and Artificial Intelligence in Precision Health. Biomedicines 2026, 14, 668.
https://doi.org/10.3390/biomedicines14030668
AMA Style
Mashkoor M, Zhang S, Stensballe A.
Bridging the Precision Gap in Rheumatoid Arthritis: Spatial Transcriptomics, Spatial Proteomics, and Artificial Intelligence in Precision Health. Biomedicines. 2026; 14(3):668.
https://doi.org/10.3390/biomedicines14030668
Chicago/Turabian Style
Mashkoor, Maliha, Shihua Zhang, and Allan Stensballe.
2026. "Bridging the Precision Gap in Rheumatoid Arthritis: Spatial Transcriptomics, Spatial Proteomics, and Artificial Intelligence in Precision Health" Biomedicines 14, no. 3: 668.
https://doi.org/10.3390/biomedicines14030668
APA Style
Mashkoor, M., Zhang, S., & Stensballe, A.
(2026). Bridging the Precision Gap in Rheumatoid Arthritis: Spatial Transcriptomics, Spatial Proteomics, and Artificial Intelligence in Precision Health. Biomedicines, 14(3), 668.
https://doi.org/10.3390/biomedicines14030668
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