用因果推断与数字孪生加速临床试验，提升安全性和个性化水平
Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation
- 结合因果推断与数字孪生技术优化试验设计
- 推动现有监管框架下的可落地AI整合
- 适合医药研发、临床研究及AI应用者参考
本文由制药、咨询、临床研究与人工智能领域的领袖共同提出，展望了利用因果推断与数字孪生技术变革临床试验的愿景。该路线图旨在通过在现有监管框架内实现可操作的AI集成，加速临床研究进程，提升试验安全性与个体化治疗水平，重新定义临床试验的黄金标准。
原文摘要 · Abstract (English)
This manifesto represents a collaborative vision forged by leaders in pharmaceuticals, consulting firms, clinical research, and AI. It outlines a roadmap for two AI technologies - causal inference and digital twins - to transform clinical trials, delivering faster, safer, and more personalized outcomes for patients. By focusing on actionable integration within existing regulatory frameworks, we propose a way forward to revolutionize clinical research and redefine the gold standard for clinical trials using AI.
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