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Machine learning models integrating clinicogenomic factors can accurately predict the risk of site-specific second primary cancers in survivors, revealing elevated risks that current screening protocols fail to adequately capture. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.CHALLENGES_CONSENSUS.

Integrated Clinicogenomic Risk Modeling for Metachronous Second Primary Cancers

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