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Samantha Cooray, Alexander Deng, Tim Dong

There is much excitement about the deployment of artificial intelligence (AI) in healthcare, and the musculoskeletal field is no exception. In this article, we introduce some of the latest developments relating to osteoarthritis (OA), osteoporosis, rheumatoid arthritis (RA) (as an example of inflammatory arthritis), connective tissue disease (CTD), Ehlers–Danlos syndrome (EDS) and musculoskeletal surgical interventions. […]

Aurélie Najm, ACR 2021: B-cell Repertoire as a Predictor of Methotrexate Response

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Published Online: Nov 10th 2021

touchIMMUNOLOGY was delighted to speak with Dr Aurélie Najm (University of Glasgow, Glasgow, UK) about B-cell repertoire changes in patients with rheumatoid arthritis and the recent analysis designed to create a nomogram capable of using B-cell repertoire properties to predict response to methotrexate.

This information is brought to you by Touch Medical Media and is not sponsored by, nor a part of, the American College of Rheumatology.

The analysis entitled ‘B Cells Repertoire Repartition Predicts Response to Methotrexate at 6 and 12 Months in Naïve RA: A Machine Learning Driven Approach’ (ABSTRACT NUMBER: 0982) was presented at the ACR Convergence, 5-9 November 2021.

Questions

  1. How does the B cell repertoire change in rheumatoid arthritis according to treatment response? (0:19)
  2. Could you tell us a little about the machine learning based approach you have developed for predicting response to methotrexate? (1:02)
  3. What were the aims, design of your study assessing this model? (1:57)
  4. What were the study findings? (2:50)
  5. What will be the potential impact of this approach on clinical practice? (4:02)

Disclosures: Dr Aurélie Najm has acted as a consultant for BMS, UCB and Chugai; and as a speaker for UCB.

Support: Interview and filming supported by Touch Medical Media Ltd. Interview conducted by Gina Furnival.

Filmed in coverage of virtual ACR Convergence 2021.

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