Understanding and addressing LATE-effects of treatment of AYA cancer survivors with AI-baseddigital phenotyping and non-invasive holistic approach
Progetto AYAs face a distinct set of challenges, including increased risks of secondarycancers, cardiovascular diseases, infertility, and mental
health issues like anxiety and depression. Oncology programs delivering care toAYAs provide survivors with individualised
survivorship care plans at the end of treatment, to accompany follow-up with theirprimary care providers. However, adherence to
these plans is often scarce, due to differences in AYA survivors' age, sex, cancertreatment received, and socioeconomical conditions.
Knowledge and understanding of such factors and of related late effects andimpacts on quality of life is fundamental to providing
effective survivorship care. The ubiquitous use of mobile devices by AYAs offers anopportunity to increase knowledge and
understanding of AYAs cancer survivors’ health status and behaviours, allowing themodelling of late effects and quality of life
trajectories in the different age subgroups. Digital health interventions overcomemany barriers to AYA participation in survivorship
programs. LATE-AYA seeks to fill this gap by empowering AYAs to better managetheir health and well-being post-cancer, by
developing an AI-driven digital phenotyping platform for managing late effects (LE)of cancer treatment. The project will implement a
holistic, non-invasive approach through digital tools such as smartphones andwearables to monitor physical, psychological, and
social well-being. The project will focus on preventive health behaviours,psychological support, and social reintegration, providing
personalized care through digital interventions. LATE-AYA will contribute to long-term quality of life improvements, facilitate early
detection of LE, and provide data-driven insights on the impact of lifestyle choiceson health outcomes. This project is supported by a diverse consortium of European institutions and willleverage the UNCAN.eu platform to share data and models, fostering wider collaboration across the EU.