Dr Samuel Bitoun on machine learning to classify the focus score and Sjögren's disease

This month's episode covers Sjögren’s disease—an autoimmune condition that primarily affects areas of the body that produce fluids, such as tears and saliva. The cause of the disease isn’t understood. Currently there are no licensed drugs to treat the disease, but phase 2 clinical trials have reported encouraging results, and phase 3 trials are underway.

Dr Samuel Bitoun, from the University of Paris-Saclay and APHP, discusses how Sjögren’s disease is currently classified, the challenges of using such classification, and how AI and deep learning could potentially contribute to this area, which is the focus of his recent study published in The Lancet Rheumatology, which aimed to train a neural network model to perform focus score classification and identify new histological patterns associated with this disease.

Click here to read the full article: https://www.thelancet.com/journals/lanrhe/article/PIIS2665-9913(25)00181-X/fulltext

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