Researchmachine learningoncologymirradiotherapy
Machine Learning Identifies Global Cancer Survival Drivers
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10.0
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.
Scoring Rationale
High novelty and global scope with peer-reviewed publication; limited by national-level data and within-country heterogeneity.
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