University of Virginia’s (UVA) Center for Diabetes Technology (CDT) has licensed Klue’s gesture sensing and behavioural analytics software for a proposed clinical trial to further diabetes treatment.

Klue is currently developing an operating system for behaviour change and real-time digital therapeutics.

The UVA CDT is planning to advance technology use, including the development of decision support and automated insulin delivery systems. This is intended to bring about improvement in the management, monitoring, and therapies for patients with Type 1 Diabetes.

CDT will validate Klue’s mealtime insulin reminder application in a randomised clinical trial for a period of 12 weeks.

The study has secured approval from the Institutional Review Board (IRB) and is currently enrolling patients.

Klue founder and CEO Katelijn Vleugels said: “We are thrilled to be working with the team at the UVA Center for Diabetes Technology to accelerate diabetes technologies research and study how our software can reduce the burden for individuals with diabetes.

How well do you really know your competitors?

Access the most comprehensive Company Profiles on the market, powered by GlobalData. Save hours of research. Gain competitive edge.

Company Profile – free sample

Thank you!

Your download email will arrive shortly

Not ready to buy yet? Download a free sample

We are confident about the unique quality of our Company Profiles. However, we want you to make the most beneficial decision for your business, so we offer a free sample that you can download by submitting the below form

By GlobalData
Visit our Privacy Policy for more information about our services, how we may use, process and share your personal data, including information of your rights in respect of your personal data and how you can unsubscribe from future marketing communications. Our services are intended for corporate subscribers and you warrant that the email address submitted is your corporate email address.

“Our collaboration underscores how automatic meal signalling may very well transform the future of diabetes care.”

With this clinical trial, the CDT and Klue aim to increase the scientific understanding of the way automatic meal detection can reduce the daily burden on Type 1 diabetes patients when combined with real-time signalling.

Klue’s motor artificial intelligence technology analyses the wrist movements of a user and is intended to reduce eating and drinking.

UVA Center for Diabetes Technology associate professor Dr Marc Breton said: “The study is intended to provide greater insight and further understand how real-time meal detection can be beneficial to people with Type 1 diabetes and their care providers.

“Technologies like Klue added to novel closed-loop insulin dosing algorithms could get us closer to the advanced autonomous systems patients have been asking for.”