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English(EN) Digital Twins as Synthetic Controls in Single-Arm Trials

数字孪生被提议作为临床试验的合成对照

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员发表了一篇论文，详细介绍了在单臂临床试验中使用数字孪生作为合成对照臂。这些先进的机器学习模型可以生成个性化的疾病进展预测，为传统方法提供了更稳健的替代方案。该论文讨论了这些数字孪生如何克服现有合成对照方法的局限性，并提供了其实际部署的指导，包括FDA关于AI在药物开发中应用的指导草案的考虑因素。 AI

影响 这项研究可能通过利用AI作为合成对照臂，从而实现更高效、更合乎伦理的临床试验。

排序理由 学术论文发表，内容涉及机器学习在临床试验中的新应用。

在 arXiv stat.ML 阅读 →

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数字孪生被提议作为临床试验的合成对照

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学术论文发表，内容涉及机器学习在临床试验中的新应用。
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报道来源 [2]

  1. arXiv stat.ML TIER_1 English(EN) · Daniele Bertolini, Franklin Fuller, Aaron M. Smith, Jonathan R. Walsh, Run Zhuang ·

    数字孪生作为单臂试验中的合成对照

    arXiv:2605.12832v1 Announce Type: cross Abstract: Single-arm trials are an important study design for evaluating drug efficacy and safety without enrolling patients into a control arm. Although they do not provide the gold-standard evidence of randomized controlled trials, they a…

  2. arXiv stat.ML TIER_1 English(EN) · Run Zhuang ·

    数字孪生作为单臂试验中的合成对照

    Single-arm trials are an important study design for evaluating drug efficacy and safety without enrolling patients into a control arm. Although they do not provide the gold-standard evidence of randomized controlled trials, they are increasingly used in clinical development as th…

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