At the Brink of a Paradigm Shift in Early Cancer Detection: Insights and Directions for the Modeling Community

This editorial discusses emerging innovations in early cancer detection and the implications of these advances for health modeling and decision science. The authors examine how new technologies, screening approaches, and data-driven diagnostics may transform cancer detection paradigms, while emphasizing the importance of robust modeling frameworks to evaluate effectiveness, cost-effectiveness, equity, and implementation challenges. The piece outlines key priorities for the modeling community in supporting evidence-based adoption of next-generation cancer detection strategies.