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LEAP

Glucose prediction without user intervention to support insulin therapies in type 1 diabetes: from the laboratory to a prototype product

Field
National
Date
01/12/2021 - 30/11/2023
Industry
  • Salud
Budget
Funded by

Proof of concept. Ministry of Science and Innovation

Website
Video

PROJECT INFORMATION

DESCRIPTION

This project aims to advance the TRL of the research team's results in the field of learning-based prediction systems to support insulin therapies in type 1 diabetes, addressing both machine learning tools for prediction-based decision support (Subproject 2 of the University of Girona, UdG) and glucose prediction without manual input data collection (Subproject 1 of the Universitat Politècnica de València).

This project aims to advance the TRL of the research team’s results in the field of learning-based prediction systems to support insulin therapies in type 1 diabetes, addressing both machine learning tools for prediction-based decision support (Subproject 2 of the University of Girona, UdG) and glucose prediction without manual input data collection (Subproject 1 of the Universitat Politècnica de València).

Contact information

Diez Ruano, José Luís
University Professor - PDI

Ai2

Technological capabilities

IA
Predictive and prescriptive analytical technologies