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.
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.
Metadvice is proud to announce that it started a collaboration with the Inselspital (Bern, Switzerland) supported by the Swiss innovation agency (Innosuisse) for a new project entitled:AI Companion for Diabetes Optimisation using Digital Data from Continuous Glucose Monitoring The project consists in transferring clinical knowledge for the management of people with diabetes from UDEM / Inselspital into an Artificial Intelligence that is capable of advising clinicians…