相关实验视频

Updated: Sep 9, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

基于临床试验替代结果的可解释的机器学习模型,用于预测头癌的总生存率

W Hwang1, H A Jung2, L J Worth3

  • 1Department of Medicine, Massachusetts General Hospital, Boston, USA; Lunit Inc., Seoul, Republic of Korea.

ESMO open
|September 4, 2025
PubMed
概括

这项研究使用替代结果,如应答率和患者因子,开发了头癌整体生存的预测模型. 该模型有助于解释复发性或转移性脑甲状腺癌的早期临床试验结果.

关键词:
头部和部癌症免疫疗法机器学习整体存活率

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