Pfizer Inc, New York, New York, USA.
Consilium Salmonson and Hemmings, London, UK.
Clin Pharmacol Ther. 2022 Feb;111(2):373-381. doi: 10.1002/cpt.2248. Epub 2021 Apr 19.
Although the digital revolution has transformed many areas of human endeavor, pharmaceutical drug development has been relatively slow to embrace the emerging technologies to enhance efficiency and optimize value in clinical trials. The topic has garnered even greater attention in the face of the coronavirus disease 2019 (COVID-19) outbreak, which has caused unprecedented disruption in the conduct of clinical trials and presented considerable challenges and opportunities for clinical trialists and data analysts. In this paper, we highlight the potential opportunity with virtual or digital clinical trials as viable options to enhance efficiency in drug development and, more importantly, in offering diverse patients easier and attractive means to participate in clinical trials. Special reference is made to the implication of artificial intelligence and machine-learning tools in trial execution and data acquisition, processing, and analysis in a virtual trial setting. Issues of patient safety, measurement validity, and data integrity are reviewed, and considerations are put forth with reference to the mitigation of underlying regulatory and operational barriers.
尽管数字革命已经改变了人类活动的许多领域,但制药药物开发在采用新兴技术以提高临床试验效率和优化价值方面相对缓慢。面对 2019 年冠状病毒病(COVID-19)的爆发,这一话题引起了更多的关注,该疫情对临床试验的开展造成了前所未有的干扰,并为临床试验人员和数据分析师带来了巨大的挑战和机遇。在本文中,我们强调了虚拟或数字临床试验的潜在机会,因为它们是提高药物开发效率的可行选择,更重要的是,为更多患者提供了更简便、更有吸引力的方式来参与临床试验。特别提到了人工智能和机器学习工具在虚拟试验环境中的试验执行以及数据采集、处理和分析中的应用。本文回顾了患者安全、测量有效性和数据完整性等问题,并提出了参考意见,以减轻潜在的监管和运营障碍。