PHYSICS INFORMED MACHINE LEARNING-BASED PREDICTION AND REVERSION OF IMPAIRED FASTING GLUCOSE MANAGEMENT

Project Information

PRAESIIDIUM

Grant agreement ID: 101095672

DOI

10.3030/101095672

EC signature date 11 November 2022

Start date 1 January 2023

End date 31 December 2025

Funded under

• Health

Total cost

€ 5 808 741,25

EU contribution

€ 5 808 740,00

Coordinated by

SPINDOX LABS SRL
Italy

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (2)

Project management report 1.1

Project management report v1.1

Communication Plan for Dissemination and Exploitation

Websites, patent fillings, videos etc. (1)

Project Website

Project website

Publications

Peer reviewed articles (1)

The Long-Term Effects of Physical Activity on Blood Glucose Regulation: A Model to Unravel Diabetes Progression

Author(s): Pierluigi Francesco De Paola; Alessia Paglialonga; Pasquale Palumbo; Karim Keshavjee; Fabrizio Dabbene; Alessandro Borri
Published in: IEEE Control Systems Letters, 2023, ISSN 2475-1456
Publisher: IEEE
DOI: 10.1109/lcsys.2023.3290774

Conference proceedings (1)

Multi-Input Multi-Output Dynamic Modelling of Type 2 Diabetes Progression

Author(s): Davide Simeone, Marta Lenatti, Constantino Lagoa, Karim Keshavjee, Aziz Guergachi, Fabrizio Dabbene, Alessia Paglialonga
Published in: Studies in Health Technology and Informatics, 2023
Publisher: IOS Press
DOI: 10.3233/SHTI230784