Researchers Develop MND Feeding-Tube Predictor Tool

A team led by the University of Sheffield has developed an AI model that predicts when people with Motor Neurone Disease will need a feeding tube, using routine diagnostic measurements and data from over 20,000 patients. Published in eBioMedicine, the model estimates the optimal gastrostomy window with a median error of 3.7 months at diagnosis and 2.6 months after six months. Researchers plan a prospective clinical trial to validate the tool.