AI-guided analysis of human pancreatic islet sociology reveals distinct cell compositional changes in type 1 diabetes
Caroline Ward, Tabitha Banks‐Tibbs, Henry Thorpe, Antonia M Giles, Samuel J. Mabry, Jia-Jun Liu, Hung‐Ching Chang, Jinting Yang, Aidan Carney, Halla M Shaikh, Lauren M. Woolley, Paul Joseph, Jenesis Gayden-Kozel, Emily M. Rocha, Guy A. Rutter, , Zachary Freyberg
The paper uses AI to analyze pancreatic islet composition in type 1 diabetes, finding age, sex, and region-dependent changes and beta-cell loss with reciprocal cell expansion.
bioRxiv · Jun 9, 2026 · PreprintPathology