
This study aims to develop computer vision methods to quantify aggregates of cells in synovial tissue and compare these to clinical and gene expression parameters. High-resolution automated identification and quantification of synovial immune cell aggregates uncovered skewing in the synovium from naive IGHD and IGHM to memory IGHG3 and IGHG1 and revealed that this process is reflected in the blood of patients with high inflammatory synovium.
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