Integrated model for personalized diabetic retinopathy screening and monitoring using risk-stratification and automated AI-based fundus image analysis – PerDiRe
EEA-RESEARCH-60 Funded by EEA Grants
Implementation period 01.05.2021–30.04.2024
Funding 1 000 000 Euros
The aim of the project is to implement a new personalized diabetic retinopathy screening and monitoring program using artificial intelligence (AI) for future applications in the care of patients with diabetes.
Partners
Project is led by University of Latvia (Dr Jelizaveta Sokolovska)
Lithuanian University of Health Sciences Prof. Rasa Verkauskienė
University of Oslo Prof. Goran Petrovski
University of Tartu Prof. Vallo Volke
Work Packages
Financier
In Estonia: National Institute of Chemical Physics and Biophysics; Traumathology and Orthopaedics Clinic of University of Tartu.
International: Hue University of Medicine and Pharmacy (Vietnam)
The mass spectrometry proteomics data of wolframin-deficient mouse heart and skeletal muscles, deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifierPXD011019 https://www.ebi.ac.uk/pride/archive/projects/PXD011019