EASD 2023 AI

Conference Submissions

Combining clinical guidelines with continuous learning from real world evidence data has the potential to effectively implement precision medicine by clinicians caring for people with diabetes. Such AI-driven platforms that integrate data from electronic health records are available and are readily extendable to include data from wearable technologies.

ADA-SanDiego 2023

Conference Submissions, Journal Article

A proof-of-concept analysis that demonstrates the utility of a neural network to predict the development of one or more comorbidities based on data routinely collected in primary care, published in Diabetes, a journal of the American Diabetes Association.