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Updated: Jan 22, 2026

Predictive Immune Modeling of Solid Tumors
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パーソナライズされた結果予測のための連続腫瘍バイオマーカーを用いたダイナミックリスクプロファイリング

David M Kurtz1, Mohammad S Esfahani2, Florian Scherer2

  • 1Division of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA; Division of Hematology, Department of Medicine, Stanford University, Stanford, CA, USA; Department of Bioengineering, Stanford University, Stanford, CA, USA.

Cell
|July 9, 2019
PubMed
まとめ

この研究は,がんのダイナミックな結果予測のための新しい方法である継続的個別化リスク指数 (CIRI) を導入します. CIRIは 患者のリアルタイムデータを統合することで パーソナライズされた医療を向上させ より正確なリスク評価を実現します

キーワード:
バイオマーカー癌について液体生検パーソナライズド医療予測モデリング

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