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RHEUMATOID ARTHRITIS

RNA sequencing and machine learning as molecular scalpels

Nature Reviews Rheumatology volume 14, pages 388–390 (2018)Cite this article

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The application of new technologies including RNA sequencing and machine learning to the analysis of synovial tissue is yielding new insights into the pathology of rheumatoid arthritis, with potential implications for the clinical management of the disease.

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Fig. 1: Omics approaches needed to gain translational insight into RA pathology.

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Authors and Affiliations

  1. Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London and Barts Health NHS Trust, London, UK

    Myles J. Lewis

  2. Centre for Translational Bioinformatics, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London and Barts Health NHS Trust, London, UK

    Michael R. Barnes

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  1. Myles J. Lewis
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  2. Michael R. Barnes
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Correspondence to Michael R. Barnes.

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The authors declare no competing interests.

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Lewis, M.J., Barnes, M.R. RNA sequencing and machine learning as molecular scalpels. Nat Rev Rheumatol 14, 388–390 (2018). https://doi.org/10.1038/s41584-018-0012-x

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