-
Home
- Current European Projects
PRIDE

Title | PRIDE – Polo Regionale per l’Innovazione Digitale Evoluta / Regional Pole For Advanced Digital Innovation |
Acronym Link |
P.R.I.D.E |
Project ID | 101083938 | Call | DIGITAL-2021-EDIH-01 (European Digital Innovation Hubs) |
Action | DIGITAL-SIMPLE | Topic | DIGITAL-2021-EDIH-INITIAL-01 |
Abstract
PRIDE – Polo Regionale per l’Innovazione Digitale Evoluta (Regional Pole For Advanced Digital Innovation) intends to support the digital transformation of the SMEs operating in strategic sectors of Campania (transport, biotech, utility, agri-food, fashion). PRIDE will offer services capable of supporting and accelerating the digital transformation of the region’s economy and industry in Campania, allowing businesses, citizens and public administrations to benefit from its advantages. PRIDE aims at addressing these challenges: |
CS-AWARE-NEXT
Project |
CS-AWARE-NEXT |
Title | Dynamic cybersecurity management for oganinisations and local/regional networks based on awaress and collaboration | Acronym | CS-AWARE-NEXT |
Project ID | 101069543 | Call | HORIZON-CL3-2021-CS-01 |
Action | HORIZON Research and Innovation Action | Topic | HORIZON-CL3-2021-CS-01-01 |
Abstract
Abstract | |||
CS-AWARE-NEXT mira a fornire migliori capacità di gestione della sicurezza informatica alle organizzazioni e ai network locali/regionali, che operano in contesti altamente dinamici e sono tenute a conformarsi alle normative europee vigenti come la direttiva sulla sicurezza delle reti e delle informazioni (NIS). CS-AWARE-NEXT punta a migliorare l'approccio delle organizzazioni in modo da essere sempre più dinamico e collaborativo, basandosi su una consapevolezza situazionale condivisa dei potenziali problemi di sicurezza informatica rilevanti per le organizzazioni e le reti in questione. |
INCISIVE
Project |
INCISIVE![]() |
Title | A multimodal AI-based toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer | Acronym | INCISIVE |
Project ID | 952179 | Call | H2020-SC1-FA-DTS-2019-1 |
Programme | H2020-UE.3.1.5 - Methods and data | ||
Activity | HTPC DT-TDS-O5-2020 Al for Health Imaging | ||
Links | |||
Abstract
Although artificial intelligence (AI) and machine learning (ML) provide unprecedented opportunities for improved cancer detection, various technical challenges as well as a lack of data availability hamper their utilisation. The EU-funded INCISIVE project aims to develop a toolbox for enhancing the accuracy, specificity and sensitivity of existing cancer imaging methods. The idea is to generate a pan-European repository of medical images that can be used for ML-based training for various types of cancer. The project's deliverables will assist the accurate prediction of tumour spread, evolution and relapse, in addition to helping stratify patients. |
Partner
Partner | |||
|