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Updated: Jan 10, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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在I期癌症试验中提高剂量选择:扩展贝叶斯逻辑回归模型以非DLT不良事件整合

Andrea Nizzardo1, Luca Genetti1, Marco Pergher1

  • 1Clinical Development and Translational Medicine, Evotec, Verona, Italy.

Journal of biopharmaceutical statistics
|November 24, 2025
PubMed
概括

新的负载贝叶斯逻辑回归模型 (BBLRM) 通过包括非DLT不良事件来提高瘤学试验中的剂量发现. 这使得基于模型的设计更安全,更容易被临床医生接受.

关键词:
贝叶斯逻辑回归模型的贝叶斯回归模型.剂量检测I期癌症试验最大的耐受剂量.非DLT不良事件不良事件

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