University of Virginia Licenses Klue’s Meal Detection to Advance Diabetes Treatment

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By : dLife Editors

Klue, a company developing a new system for behavior change and real-time digital therapeutics, today announced that the Center for Diabetes Technology (CDT) of the University of Virginia (UVA) has licensed Klue’s software for a planned clinical trial.

The UVA CDT, a recognized world leader in the research of diabetes, has pursued a path to advance the use of technology, including the development of decision support and automated insulin delivery systems, to improve management, monitoring, and therapies for patients with Type 1 Diabetes.

“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,” said Katelijn Vleugels, founder and CEO of Klue. “Our collaboration underscores how automatic meal signaling may very well transform the future of diabetes care.”

The UVA Center for Diabetes Technology is licensing Klue’s patented gesture sensing and behavioral analytics software and will be validating Klue’s mealtime insulin reminder application in a 12-week randomized clinical trial.

The study has received IRB approval and is currently enrolling patients.

With this clinical trial, the CDT and Klue aim to deepen the scientific understanding of how automatic meal detection combined with real-time signaling can reduce the daily burden on patients with Type 1 diabetes, improve adherence to mealtime insulin bolusing and improve glycemic control.

“Eating is one of the largest and most difficult blood glucose disturbance to manage in diabetes care, and automatic meal detection could be a key missing element to improving current treatment strategies,” said Dr. Marc Breton, associate professor at the UVA Center for Diabetes Technology and Principal Investigator on the study. “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,”

Breton adds that 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.

“Innovation in diabetes technologies and data science is progressing at a rapid pace, and I am hopeful that new solutions can be delivered to people with diabetes soon,” he said.

Klue’s patented motor artificial intelligence technology reduces eating and drinking behaviors from analyzing a user’s wrist movements.

Non-intrusive and automatic, the detection happens in real time, making it possible, for the very first time, to act on the knowledge of eating happening without any manual action by the user and long before blood sugar levels start to rise.



  1. Klue. (2019, June 19). The University of Virginia’s Center for Diabetes Technology Licenses Klue’s Meal Detection Technology to Advance Diabetes Treatment.  BusinessWire. Retrieved June 19, 2019, from