Automated system for monitoring and predicting adverse events in diabetes - ATTENTIVE D1
Project objectivesThis project involves the development and validation of a decision support system for people with insulin-treated diabetes mellitus. The system will be able to exploit the reading of commercial continuous glucose monitoring (CGM) sensors to make predictions about future blood glucose levels, in order to prevent adverse glycemic events. The predictive algorithm will be based on a model developed in our previous works that currently achieves state-of-the-art performance, despite using a smaller amount of patient data for training (24h). The final goal of the project will be the development of an embedded system able to interact with the CGM sensor and provide the diabetic subject with a prediction of his glycemic status 30 to 15 minutes in advance, thus giving the patient time to intervene to prevent adverse events such as hyperglycemia or hypoglycemia. |
Start and end date |
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July 22, 2021 -- July 22, 2023 |
Project Manager |
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Scientific Director: Prof. Piemonte (Unit of Chemical-physics Fundamentals in Chemical Engineering) Responsible for UR activities: Eng. Mario Merone |
Coordinating institution of the project |
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Università Campus Bio-Medico di Roma |
Other Institutions involved |
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CNR-Institute for Biomedical Research and Innovation (CNR-IRIB) |
Funding source(s). |
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Lazio Region (Research Group Projects 2020) |
Economic value of the project€ 150.000 |
Link to the project website |
