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Updated: May 5, 2026

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
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Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

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ディープラーニングとコンピューティングヒストパトロジーを用いた皮膚状細胞癌の転移リスク予測の強化

Emilia Peleva1,2, Yue Chen3, Bernhard Finke3

  • 1Centre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, UK. emilia.peleva@nhs.net.

NPJ precision oncology
|September 2, 2025
PubMed
まとめ

新しい深層学習モデルであるcSCCNetは,デジタル病理学を用いて皮膚状細胞癌 (cSCC) の転移リスクを正確に予測します. このツールは患者を階層化し,この一般的な皮膚がんの予後を改善します.

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