Machine-Learning Model Identifies New Diagnostic Criteria for Beckwith-Wiedemann Spectrum
Sylvie A. Adams, A. C. Viswanathan, Bamelak T. Duki, Andrew M. George, Jill A. Fahrner, Darko Stefanovski, Christopher M. Cielo︎, Jennifer M. Kalish
A machine learning model identifies six key phenotypic features to classify Beckwith-Wiedemann spectrum patients and controls with performance comparable to existing clinical criteria.
medRxiv · Jul 1, 2026 · PreprintGenetic & Genomic Medicine