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Updated: Nov 9, 2025

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

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Published on: May 27, 2021

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腫瘍トランスクリプトームを介した合成致死性精密腫瘍学

Joo Sang Lee1, Nishanth Ulhas Nair2, Gal Dinstag3

  • 1Cancer Data Science Lab, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA; Next Generation Medicine Lab, Department of Artificial Intelligence & Department of Precision Medicine, School of Medicine, Sungkyunkwan University, Suwon 16419, Republic of Korea; Department of Digital Health & Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Samsung Medical Center, Sungkyunkwan University, Seoul 06351, Republic of Korea.

Cell
|April 15, 2021
PubMed
まとめ

新しい精密腫瘍学フレームワークであるSELECTは 腫瘍のトランスクリプトームデータを用いて がん治療への反応を予測します このアプローチは 35件の臨床試験で 80%の精度を示し パーソナライズされたがん治療の選択肢を広げています

キーワード:
ガンに対する免疫療法患者の分層化精密腫瘍学合成による死亡率人工的な救出トランスクリプトミクス

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