Evidence-based Participatory Decision Making for Cancer Prevention through implementation research
Colorectal cancer (CRC) is one of the most common cancer types, particularly among populations with lower socioeconomic status due to adverse health behaviors. The ONCODIR project addresses CRC prevention through multidisciplinary research methods, integrating health policy analytics, social and behavioural science, AI-powered multi-omics, retrospective data analytics, and decision support theories to create evidence-based cancer prevention programmes and AI-powered personalised prevention strategies.
ONCODIR focuses on evaluating these programmes for cost-effectiveness, affordability, and cost-benefit parameters, exploring financial schemes to enhance CRC prevention. The project’s technological ecosystem is based on AI trustworthiness and privacy preserving principles, engaging citizens, health policy actors, and Social Sciences and Humanities (SSH) experts in three design thinking workshops to deploy recommendation services. SSH research will address life status, nutritional and social habits, alongside economics, sociology, Local/Regional Cultural identity, and Ethics.
ONCODIR’s outcomes will be validated during three Laboratory Integration Tests (LITs) and three Large-scale Intervention Pilots (LIPs) in five EU member states, involving medical scientists, healthcare providers, foundations, and consortium experts. The ONCODIR consortium includes diverse partners with a strong research background in technological and SSH domains, aiming to meet ONCODIR’s objectives and produce feasible policy-supporting outcomes of significant exploitation potential. This project is part of the Cancer Mission cluster focusing on prevention and early detection.
