Machine learning (ML), a field of data science with over 50 years of history, has gained momentum in the past decade due to the intersection of powerful computing tools and the increased availability of large data sets. Herein, we provide an overview of a sample of ML algorithms and describe areas where ML has been used to support drug development and regulatory submissions to US FDA, as well as to facilitate review and research.

中文翻译：

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机器学习在药物开发和监管中的应用：现状和未来潜力。

机器学习（ML）是具有50多年历史的数据科学领域，在过去的十年中，由于强大的计算工具和大数据集的可用性日益增强，机器学习（ML）获得了强劲的发展。本文中，我们提供了ML算法示例的概述，并描述了ML已用于支持药物开发和向US FDA提交法规以及促进审查和研究的领域。