WARIFA (Watching the risk factors: Artificial intelligence and the prevention of chronic conditions) aims at defining a general personalised early risk prediction model that will be used to support individual preventive measures as well as early intervention. Personalised early risk prediction by artificial intelligence can empower citizens to adopt healthier habits and a better lifestyle.
New digital tools are designed to empower both citizens and patients. In response to chronic skin damage and the fight against skin cancer a smartphone application estimates a person’s risk for sun damage and skin cancer. The analysis is based on user-collected data indicating previous and current sun exposure, skin type including a computer-based naevus classification and the family history of skin cancer. Persons at increased risk are educated on healthy sun exposure behaviour including sunscreen use. In addition, they are asked to see their doctor for a total body skin examination. All data in the project is analysed in a multidisciplinary approach including medical, sociological and behavioural outcomes.
Want to learn about commercialising university research? @TrinityResInnov Neil Gordon will speak at our next #webinar on 27th July at 10am. Register online: https://bit.ly/3B01914LI