project . 2020 - 2022 . On going

FAITH

a Federated Artificial Intelligence solution for moniToring mental Health status after cancer treatment
Open Access mandate for Publications and Research DataOpen Access mandate for ... European Commission
  • Funder: European CommissionProject code: 875358 Call for proposal: H2020-SC1-DTH-2019
  • Funded under: H2020 | RIA Overall Budget: 4,831,230 EURFunder Contribution: 4,831,230 EUR
  • Status: On going
  • Start Date
    01 Jan 2020
    End Date
    31 Dec 2022
  • Detailed project information (CORDIS)
Description
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 access to personal treatment data that will be used for training in machine learning. Devices private to the patient will run their own personalised AI models, via the pro...
Link existing DMPs with this project or start a new DMP in Argos.
Description
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 access to personal treatment data that will be used for training in machine learning. Devices private to the patient will run their own personalised AI models, via the pro...
Link existing DMPs with this project or start a new DMP in Argos.
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