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Updated: Sep 9, 2025

Author Spotlight: Integrating Computational and Experimental Approaches in Precision Oncology
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パーソナライズド・オンコロジーの風景をナビゲートする: コンピュータ・モデリングで課題を克服し,視野を広げること

Melike Sirlanci1,2, David Albers1,3,4,5, Jennifer Kwak6

  • 1Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States.

Journal of the American Medical Informatics Association : JAMIA
|September 4, 2025
PubMed
まとめ

ハイブリッドモデリング (HM) は,機械学習 (ML) と機械的モデリング (MM) を組み合わせることで,まれな疾患の個別化された治療予測を改善します. このアプローチは,臨床腫瘍学における新しい治療法にとって不可欠なデータ不足と希少さに対応しています.

キーワード:
がん治療の結果の予測ハイブリッドモデリング機械学習機械的モデリングパーソナライズされたモデル

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