Building an Interoperable, Data-Driven, Innovative and Sustainable European Agri-Food Sector
CADDER is a computer-assisted module for the detection and monitoring of melanoma through dermatocopic images. To do this, it implements the ABCD dermatoscopy rule using artificial vision techniques (e.g. Deep Learning)
This project will use bionanomaterials for the development of detection and diagnostic technologies that provide greater sensitivity in the detection of specific biomarkers and their application for more effective therapies for cancer and fibrosis
Monitoring and guidance system for patients with heart failure for the development of predictive models with machine learning techniques.