Machine Learning Identifies Global Cancer Survival Drivers

Scientists applied machine learning to cancer incidence and mortality data from GLOBOCAN 2022 across 185 countries, publishing findings in Annals of Oncology. The model links mortality-to-incidence ratios to health system factors—notably radiotherapy access, universal health coverage, and GDP per capita—and provides an online tool showing country-specific priority levers. These results offer policymakers actionable, data-driven roadmaps to prioritize investments to improve national cancer survival.