论文标题
药物发现和开发的因果推断
Causal inference in drug discovery and development
论文作者
论文摘要
发现新药是寻求并证明因果关系。作为利用人类知识和创造力，数据和机器智能的一种新兴方法，因果推断有望减少认知偏见并改善药物发现中的决策。尽管它已经在整个价值链中应用了，但因子推理的概念和实践对许多从业者来说仍然晦涩难懂。本文提供了有关因果推断的非技术介绍，审查了其最新应用，并讨论了在药物发现和发展中采用因果语言的机遇和挑战。
To discover new drugs is to seek and to prove causality. As an emerging approach leveraging human knowledge and creativity, data, and machine intelligence, causal inference holds the promise of reducing cognitive bias and improving decision making in drug discovery. While it has been applied across the value chain, the concepts and practice of causal inference remain obscure to many practitioners. This article offers a non-technical introduction to causal inference, reviews its recent applications, and discusses opportunities and challenges of adopting the causal language in drug discovery and development.
