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Updated: Feb 22, 2026

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機械学習による癌の脆弱性指標の生成は,癌のアウトカムの空間的負担を決定するために得られた

Kou Kou1,2, Jessica Cameron1,3,4, Paramita Dasgupta1

  • 1Cancer Council Queensland, Brisbane, Australia.

PloS one
|February 20, 2026
PubMed
まとめ

この研究では,肺がん発生率の地理的予測要因を特定するために,肺がん脆弱性指数 (LcVI) を開発しました. LcVIは,肺がんの空間的変動を理解し,ターゲット化された公衆衛生介入を必要とする領域を強調するのに役立ちます.

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