The research project involves the development of an application for the self-management of diabetes mellitus and the timely prediction of hypoglycemic episodes.
The first kick-off meeting of the Tessera Multimedia team took place for the research project titled:
«Innovative Digital System for Hypoglycemia Prediction and Diabetes Self-Management Using Artificial Intelligence Technologies», with project code OPSKE EKPAR03-0059004.
During the meeting, which took place on Thursday, July 31, 2025, an introduction to the overall framework of the project was presented, including the individual work packages, deliverables, and timeline. The project team committed to the proper execution of their responsibilities to ensure the timely and optimal delivery of the project.
The research project falls under the “Research – Innovate” Action (Intervention III: Utilization of Research Results) and concerns the expansion of the forDiabetes application, which has already proven to be particularly useful for patients with diabetes. The new version will integrate Artificial Intelligence (AI) technologies with the aim of:
Prevention of dangerous situations for patients.
Enhancement of disease self-management with personalized support.
Improved user experience with features such as an SOS button, test results archive, wearable support, integration with medical devices, and optimized UI/UX.
The final product will consist of:
Web application
Mobile applications for Android and iOS
REST API for integration with devices and third-party applications
The project officially started on July 1, 2025, and is expected to be completed by December 31, 2027, with a total duration of 30 months. The implementation will be carried out exclusively by Tessera, with Mr. Vasilis Efopoulos serving as the scientific coordinator, while Unit B1 of the Managing Authority for Research and Innovation Programs has been assigned oversight responsibility.
With DiabForeAI, Tessera aims to deliver a comprehensive tool for the prevention and management of diabetes, enhancing the daily lives of patients, supporting the work of healthcare professionals, and making a significant contribution to improving both quality of life and healthcare services.

The project “Innovative Digital System for Hypoglycemia Prediction and Diabetes Self-Management Using Artificial Intelligence Technologies” is being implemented under the “Research – Innovate” Action and co-funded by Greece and the European Union (European Regional Development Fund – ERDF) through the NSRF 2021-2027. This action falls under Priority 1, “Strengthening Research and Innovation,” and is carried out by the Special Management and Implementation Service for Research and Innovation Actions (SYDKE).


