The PATRON-CGM project, developed by the UPV and FISABIO, aims to improve diabetes treatment through an artificial intelligence-based decision support system. It will analyse data from continuous glucose monitors (CGM) to identify patterns and optimise therapeutic adjustment, reducing errors and improving clinical efficiency. With this system, it is hoped to facilitate the integration of CGM in Type 2 diabetes and improve glycaemic control in patients.
The PREVILI project, led by the UPV, aims to prevent ventilator-induced lung injury (VILI) in neonatal and paediatric patients. Through the analysis of mechanical biomarkers and artificial intelligence models, the aim is to optimise ventilation to reduce respiratory complications and improve safety in ICUs. With this study, it is hoped to minimise mortality and improve the quality of life of the most vulnerable patients.
The ‘Sandbox for Innovation in Ecosustainable Hospital Processes’ project aims to optimise the efficiency and sustainability of the healthcare system through process mining and artificial intelligence. It will develop a testing environment (sandbox) where companies will be able to test innovative solutions in hospitals. Led by INCLIVA in collaboration with the UPV, it aims to reduce the carbon footprint and improve value-based healthcare.
