Description du projet
Des analyses par IA pour surveiller la santé mentale des patients atteints d’un cancer
Le principal objectif du projet FAITH, financé par l’UE, consiste à développer un meilleur modèle destiné au suivi de la santé mentale au cours de la maladie et du traitement chez les patients atteints d’un cancer afin d’améliorer leur qualité de vie et leurs soins de suivi, en appliquant les dernières avancées dans le domaine de l’intelligence artificielle (IA) et des techniques analytiques des mégadonnées. Le concept du projet repose sur un apprentissage automatique fédéré, qui crée des systèmes d’apprentissage automatique dépourvus d’accès direct aux données personnelles relatives au traitement. Les dispositifs individuels des patients utiliseront leurs propres modèles d’IA personnalisés, et un modèle d’IA global rassemblera les apprentissages des modèles individuels. Le modèle d’IA analysera les marqueurs de la dépression afin de prédire les tendances négatives et de permettre une intervention opportune. Le consortium du projet dispose de sites d’essai dans plusieurs pays européens pour évaluer et valider l’adoption et l’usage de cette nouvelle plateforme analytique.
Objectif
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 project’s ‘AI Angel’ application, while a global AI model aggregates the individual model learnings (rather than the traditional approach of a central repository of holding all private patient data). FAITH’s ‘AI Angel’ will remotely analyse depression markers, predicting negative trends in their disease trajectory, giving their healthcare providers advanced warnings to allow for timely intervention. These markers are treated under several distinct categories: Activity, Outlook, Sleep, and Appetite, in accordance with the 3M strategy for population health: Monitor–Measure–Manage. Central to the vision of the FAITH project is to measure population health deeply, it is necessary to monitor individuals on a continuous basis to cast a wide enough net over a user’s health data. A key strength of FAITH is the involvement of eminent cancer hospitals and specialists in the consortium to provide relevant applicable cancer care related use cases that can effectively leverage a big data framework using computational intelligence approaches and methodologies that can be used for long term cancer care health risk and symptom minimisation for patients. FAITH has trial sites in Madrid, Waterford, and Lisbon, with real end users to assess and validate the adoption and usage of the FAITH technologies and platform.
Champ scientifique
- natural sciencescomputer and information sciencesdata sciencebig data
- medical and health sciencesclinical medicineoncology
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Programme(s)
Régime de financement
RIA - Research and Innovation actionCoordinateur
X91 K0EK Waterford
Irlande