CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
FAITH utilizes Artificial Intelligence and Big Data analytics to model and predict cancer patients' disease trajectories, enhancing their quality of life and aftercare. By employing federated machine learning, it ensures patient data privacy while providing healthcare providers with insights for timely interventions.
The main aim of FAITH is to apply the latest Artificial Intelligence (AI) and Big Data analytics techniques to better model and predict disease/treatment trajectories of cancer patients, with the goal of improving their quality of life and aftercare.
To protect privacy of the individual, but still gain insights that are beneficial to the broader population, FAITH will be applying the concept of federated machine learning, which makes it possible to build machine learning systems without direct a…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Ireland, Waterford
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Spain, Madrid
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Spain, MADRID
Type: Public body
Activity type: Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
SME: No
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
Guests see up to 5 keywords.