FAITH is an EU-funded research project that aims to provide an Artificial Intelligence application that remotely identifies depression markers, using Federated Learning, in people that have undergone cancer treatment.
The FAITH concept would present healthcare providers with advanced warnings to allow timely intervention, giving patients the possibility to improve their quality of life and receive intelligent post-cancer support. Trial sites in Madrid, Waterford, and Lisbon will assess and test the concept to ensure its usefulness, involving real end users (both clinicians and patients).
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FAITH is creating an innovative solution that uses Artificial Intelligence based technologies to track targeted depression markers in cancer survivors to be able to monitor downward trajectories in these markers, and ultimately inform their point of care of these declines.
By using the FAITH solution, cancer survivors will be brought to the attention of their healthcare services once their depression markers start to show signs of downward trajectories. This means they can be offered intelligent post-cancer support as early as possible, helping to identify trends which could affect their quality of life.
By doing this, cancer survivors who begin to experience such declines get the chance to be more aware of their mental health situation, receive as early as possible intelligent post-cancer support, and therefore, in the end, improve their quality of life.
In order to ensure that FAITH’s project objectives are achieved, a clearly defined methodology has been created that fosters interdependency and flow between the different work packages in the project.
The project will start with gathering requirements (WP2) from our end user organisations (hospitals/doctors/patients) as well as relevant stakeholder and policy maker organisations. These requirements drive the architecture specifications, the data reference models as well as real-life use case scenarios (WP2), which are then acted upon for the building of our platform components (WP3, WP4 & WP5). Data from the various sources, including the FAITH App, any connected sensors and our federated AI models are fed into our framework, which through the in-built intelligence will be used to monitor specific mental state markers and further
provided for analysis (WP4). This provides the hospital liaison person with a full overview of what is happening in relation to the person who has finished cancer treatment (WP3). These interactions will be trialled (WP6) in consortium end user hospitals, gathering feedback and being validated by doctors and patients with regards to their specific needs. This feedback from these trials will be fed back into a second, and third, round of requirements gathering. After the third iteration, and once we are sure that we have a framework that meets the market needs, we will explore market deployment activities (WP8), which is fully supported by our dissemination, policy & stakeholder engagement activities (WP7).