a Federated Artificial Intelligence solution for moniToring mental Health status after cancer (FAITH)
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.
AI analytics for mental health monitoring in cancer patients
The main goal of the EU-funded FAITH project is to develop a better model for mental health monitoring during disease and treatment for cancer patients to improve their quality of life and aftercare, applying the latest advances in AI and Big Data analytical techniques. The concept of the project is based on federated machine learning, which builds machine learning systems without direct access to personal treatment data. Individual patient devices will run their own personalised AI models, and a global AI model will aggregate the individual model learnings. The AI model will analyse depression markers predicting negative trends to enable timely intervention. The project consortium has trial sites in several European countries to assess and validate the adoption and usage of this new analytical platform.