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Expert Review of Clinical Immunology Volume 17, 2021 - Issue 1
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Editorial

The promise of machine learning to inform the management of juvenile idiopathic arthritis

Simon W. M. Enga Division of Rheumatology and Program in Cell Biology, The Hospital for Sick Children (SickKids), Toronto, Ontario, CanadaView further author information
,
Rae S. M. Yeunga Division of Rheumatology and Program in Cell Biology, The Hospital for Sick Children (SickKids), Toronto, Ontario, Canada;b Department of Paediatrics, Immunology and Institute of Medical Science, University of Toronto, Toronto, Ontario, CanadaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-2361-725XView further author information
ORCID Icon &
Quaid Morrisc Ontario Institute for Cancer Research, Toronto, Ontario, Canada;d Vector Institute, Toronto, Ontario, Canada;e Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USACorrespondence[email protected]
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Pages 1-3 | Received 24 Sep 2020, Accepted 10 Nov 2020, Published online: 26 Jan 2021

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Andrea S. Doria. (2023) Applications of artificial intelligence in clinical management, research, and health administration: imaging perspectives with a focus on hemophilia. Expert Review of Hematology 16:6, pages 391-405.
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Articles from other publishers (2)

Sifa Ozsari, Mehmet Serdar Güzel, Dilek Yılmaz & Kıvanç Kamburoğlu. (2023) A Comprehensive Review of Artificial Intelligence Based Algorithms Regarding Temporomandibular Joint Related Diseases. Diagnostics 13:16, pages 2700.
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Daniel D Reiff, Matthew L Stoll & Randy Q Cron. (2021) Precision medicine in juvenile idiopathic arthritis—has the time arrived?. The Lancet Rheumatology 3:11, pages e808-e817.
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