Literature DB >> 31602041

Can machine learning predict responses to TNF inhibitors?

Nisha Nair1, Anthony G Wilson2.   

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Year:  2019        PMID： 31602041     DOI： 10.1038/s41584-019-0320-9

Source DB:  PubMed          Journal:  Nat Rev Rheumatol        ISSN： 1759-4790            Impact factor:   20.543


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Review 1.  The CORRONA database.

Authors:  J Kremer
Journal:  Ann Rheum Dis       Date:  2005-11       Impact factor: 19.103

2.  Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers.

Authors:  Yuanfang Guan; Hongjiu Zhang; Daniel Quang; Ziyan Wang; Stephen C J Parker; Dimitrios A Pappas; Joel M Kremer; Fan Zhu
Journal:  Arthritis Rheumatol       Date:  2019-11-04       Impact factor: 10.995
  2 in total
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Review 1.  An introduction to machine learning and analysis of its use in rheumatic diseases.

Authors:  Kathryn M Kingsmore; Christopher E Puglisi; Amrie C Grammer; Peter E Lipsky
Journal:  Nat Rev Rheumatol       Date:  2021-11-02       Impact factor: 20.543

2.  Machine learning predicts response to TNF inhibitors in rheumatoid arthritis: results on the ESPOIR and ABIRISK cohorts.

Authors:  Vincent Bouget; Julien Duquesne; Signe Hassler; Paul-Henry Cournède; Bruno Fautrel; Francis Guillemin; Marc Pallardy; Philippe Broët; Xavier Mariette; Samuel Bitoun
Journal:  RMD Open       Date:  2022-08

Review 3.  Multi-omics approach to precision medicine for immune-mediated diseases.

Authors:  Mineto Ota; Keishi Fujio
Journal:  Inflamm Regen       Date:  2021-08-01
  3 in total

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