Data-Driven Phenotyping of Presymptomatic Type 1 Diabetes Using Longitudinal Autoantibody Profiles.

Mohamed GhalwashVibha Anand Kenney NgJessica L DunneOlivia LouMarkus LundgrenWilliam A HagopianMarian RewersAnette-Gabriele Ziegler Riitta Veijolanull null

Published in: Diabetes care (2024)

The novel clustering algorithm identified children with distinct islet autoantibody profiles and progression rates to diabetes. These results are useful for prediction, selection of individuals for prevention trials, and studies investigating various pathways to type 1 diabetes.

Keyphrases

type diabetes
glycemic control
cardiovascular disease
insulin resistance
young adults
machine learning
high throughput
deep learning
single cell
cross sectional
metabolic syndrome
skeletal muscle