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Updated: Jun 13, 2025

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

Published on: October 10, 2018

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机器学习可以克服95%的失败率和现实,只有30%的批准的癌症药物有意义地延长患者的生存时间吗?

Duxin Sun, Christian Macedonia1, Zhigang Chen2

  • 1Lancaster Life Science Group, Lancaster, Pennsylvania 17601, United States.

Journal of medicinal chemistry
|September 10, 2024
PubMed
概括

癌症药物开发面临的失败率很高. 一个新的STAR引导的机器学习 (ML) 系统解决了提高药物成功和效率的关键因素.

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