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

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Acknowledgments

We would like to thank all the members of the ReACCh-Out and BBOP research consortia for their contributions to patient care and data collection in support of JIA studies.

Declaration of Interests

R Yeung has consulting fees from Novartis and Eli Lilly. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Reviewer disclosures

Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Additional information

Funding

This paper was funded by the Canadian Institutes of Health Research team grants 82517 and QNT-69301, Genome Canada, and the Hak-Ming and Deborah Chiu Chair in Pediatric Translational Research.