Erevno Kainotomo

Tessera in the «Research-Innovate» Programme

The project, coded OPSKE ΕΚPΑR03-0059004, involves the further development and expansion of the successful forDiabetes application.

Tessera submitted a research proposal o Intervention III of the «Research-Innovate» action under the  «Competitiveness» Programme of the NSRF 2021-2027, entitled «Innovative Digital System for Hypoglycemia Prediction and Diabetes Self-Management Using Artificial Intelligence», which was approved for funding.

The project with OPSKE code ΕΚPΑR03-0059004, aims at the further development and expansion of the successful forDiabetes application. The implementation period is 30 months and focuses on the self-management of diabetes mellitus, as well as the timely and effective prediction of hypoglycemic episodes.

The platform to be developed will include a web application, two mobile applications (Android & iOS), and a  REST API that will serve as an intermediary mechanism for synchronizing data between the web and mobile apps.

The development will be based on the use of machine learning and artificial intelligence technologies, with the objective of creating a system that adapts to the needs and requirements of both patients and physicians.

The primary goal of the application is to facilitate the daily management of the disease and to more effectively support the work of physicians through modern tools and enhanced functionalities. Indicatively, the platform will offer, among other features:

  • Personalized support through an AI assistant.
  • Prevention of high-risk situations through the development of predictive machine learning models.
  • Enhanced user experience through integration with and support of wearables and health devices.
  • Emergency support through immediate notification of relatives or close contacts.

Through this research project, Tessera aims to deliver a comprehensive prevention and support tool strengthening users’ autonomy and independence and contributing to the improvement of the quality of life of thousands of people.

The action falls under Priority 1, «Strengthening Research and Innovation», specifically targeting the Specific Objective «Development and enhancement of research and innovation capacities and the exploitation of advanced technologies (ERDF)». It is implemented by the Special Management Service for Research and Innovation Actions (SMSRIA).

Τhe project “Innovative Digital System for Hypoglycemia Prediction and Diabetes Self-Management Using Artificial Intelligence Technologies” is implemented under the “Research-Innovate” Action and is co-funded by Greece and the European Union (European Regional Development Fund – ERDF) through the NSRF 2021–2027.

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