Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

HOUSTON — Machine learning has immense potential for improving diabetes care, particularly when used by diabetes care and education specialists, according to two presenters at the American ...

Predicting risk of heart failure for diabetes patients with help from machine learning. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2019 / 09 / 190913191451.htm ...

For patients with type 2 diabetes or the APOL1-HR genotype, a machine learning test integrating biomarkers and electronic health record data demonstrated improved prediction of kidney failure ...

Over 2,250 samples from 184 participants yielded 376 regulated proteins identified using machine learning analyses to predict autoimmunity preceding type 1 diabetes.

IBM Watson Health also outlined its prediction model, which was trained on anonymized Guardian Connect user data. The machine learning models had 90% accuracy in predicting hypoglycemic events in ...

Researchers created a machine-learning–based model to help predict which patients will develop diabetes, according to an abstract to be published in the Journal of the Endocrine Society.

Using advanced machine learning models, researchers in China were able to accurately predict incidence of gestational diabetes among pregnant women during their first trimester. GDM affects up to ...