Article info
PDFCorrespondence response
Response to: ‘Correspondence on ‘Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement’’ by Manetti
- Correspondence to Dr Kimberly Showalter, Department of Medicine, Division of Rheumatology, Hospital for Special Surgery, New York, NY 10021, USA; showalterk{at}hss.edu
Citation
Response to: ‘Correspondence on ‘Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement’’ by Manetti
Publication history
- Received October 21, 2020
- Accepted October 22, 2020
- First published November 6, 2020.
Online issue publication
March 31, 2023
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© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.