EU-Funded Horizon 2020
Intelligent post-cancer support
2023
Building a Federated Artificial Intelligence model that remotely identifies depression markers in people that have undergone cancer treatment with respect to their data.
FAITH is an EU-funded project developing an AI-powered application to identify and analyze depression markers in cancer survivors.
The system collects data through clinical questionnaires and passive monitoring of sleep and activity to train a federated AI model that fully respects user privacy.
Clinical trials in hospitals across Spain, Ireland, and Portugal involve real users — patients and clinicians — to validate and refine the service experience.
UX Design
UI Design
Graphic Design
Clinical Validation and Data Collection
In FAITH, participants’ clinical status is validated using certified questionnaires assessing mental and physical health, nutrition, quality of life, and sleep.
All analyses are carried out by medical and mental health professionals under an approved ethical protocol.
An independent External Advisory Board supports the project, ensuring innovation, scientific rigor, and market relevance.
This phase focuses on data collection activities to inform and refine the FAITH user experience.
User Research
My first task in FAITH focused on user research across multiple stakeholders.
We interviewed oncologists, nutritionists, psychologists, nurses, and doctors to validate our assumptions about the FAITH ecosystem — discovering it was far more complex than expected.
To clearly share insights with the consortium, we created Actor Cards: visual tools mapping key stakeholders and their user flows, bridging user stories and journeys while conveying the project’s concept image.
Design process
Faith App
Daily interaction and basals assessment
Clinical Assessment
Dashboard
One year later, the Faith App was developed and ready to be used in trial. In order to have data coming in, we realized we were in need of a customized web dashboard that data analysts and clinicials could use to monitor the data collection. Several factors could have hindert this crucial part ( For example: participants not providing the data or dropping the trial, usability challenges, system bugs). Clinicians needs to be able to quickly spot which participants are not providing data in order to contact them and understand their reasons.
Product Design
The new MYLP platform was designed with scalability and evolution at its core. Built as a flexible digital ecosystem, it will gradually integrate new gaming environments such as virtuals, slots, and casino experiences. This forward-looking approach aims to position MYLP as Italy’s leading provider of excellence in the gaming landscape — promoting innovation while ensuring the highest standards of responsible play