Machine learning model may influence individualized care of Crohn’s disease in children

A machine learning image model describing Crohn’s disease phenotypes may impact individualized care for children with Crohn’s, according to a presenter at the Crohn’s and Colitis Congress.“Our model predicts [Crohn’s] B1 vs. B2 vs. controls with histological features greater than 70% accuracy,” Sana Syed, MD, from the University of Virginia School of Medicine, said during her presentation. “The model decision making visualized via histological features showed connective tissue was possibly the distinctive feature for predicting B2.”Syed andRead More

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