A narrative review of emerging cancer treatment data, molecular profiling technologies, and existing clinicogenomic databases, focusing on how tumors are characterized, how subgroups are defined, and how demographic, lifestyle, and environmental factors are captured.
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Funders and implementers should prioritize durable infrastructure, strengthened health information systems, rigorous evidence generation, environmentally responsible deployment, and local stewardship to achieve scalable, equitable, and sustainable AI in global health.
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