University of Virginia School of Data Science researcher Heman Shakeri has been awarded a major new research grant to lead work at the intersection of machine learning and diabetes care. Shakeri will ...

A machine learning model improves prediction of type 1 diabetes risk compared with a conventional genetic risk model, particularly in people without high-risk human leukocyte antigen haplotypes.

Study: Genetic association and machine learning improve the prediction of type 1 diabetes risk. Image credit: sasirin pamai/Shutterstock.com Researchers performed genetic association analysis and ...

Organic electrochemical transistor (OECT), a powerful tool for chemical and biological sensing, can operate directly in aqueous environment at low voltages, which makes it ideal for wearable and ...

Machine learning has emerged as a pivotal tool for the early identification and risk stratification of diabetes, a disorder affecting hundreds of millions worldwide. By leveraging vast and often ...

Study of Over Three Million Patients for Risk of Type 2 Diabetes Demonstrates Potential for More Advanced Approach to Early Identification Over 60% of U.S. adults have risk factors for type 2 diabetes ...

Apple's vice president of platform architecture in charge of developing Apple Silicon, Tim Millet, has been assigned to head the Apple Watch glucose tracker project. Glucose monitoring is the holy ...