Bangladesh piloted machine learning for metabolic disease screening.

A Bayesian-optimised Random Forest reached 72.9% accuracy classifying metabolic control across 14 Bangladesh hospitals — a potential substitute for scarce specialists.

The study is pre-publication; the model has not been deployed in clinical settings.

Sources: Nature