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Digital twins proposed as synthetic controls for clinical trials

Researchers have published a paper detailing the use of digital twins as synthetic control arms in single-arm clinical trials. These advanced machine learning models can generate personalized predictions of disease progression, offering a more robust alternative to traditional methods. The paper discusses how these digital twins can overcome limitations of existing synthetic control approaches and provides guidance on their practical deployment, including considerations for FDA draft guidelines on AI in drug development. AI

影响 This research could lead to more efficient and ethical clinical trials by leveraging AI for synthetic control arms.

排序理由 Publication of an academic paper on a novel application of machine learning in clinical trials.

在 arXiv stat.ML 阅读 →

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Digital twins proposed as synthetic controls for clinical trials

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 ·

    Digital Twins as Synthetic Controls in Single-Arm Trials

    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 ·

    Digital Twins as Synthetic Controls in Single-Arm Trials

    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…