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IDentif.AI-x大流行防范平台:优化COVID-19联合治疗方案的快速优先级确定。

The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens.

作者信息

Blasiak Agata, Truong Anh T L, Remus Alexandria, Hooi Lissa, Seah Shirley Gek Kheng, Wang Peter, Chye De Hoe, Lim Angeline Pei Chiew, Ng Kim Tien, Teo Swee Teng, Tan Yee-Joo, Allen David Michael, Chai Louis Yi Ann, Chng Wee Joo, Lin Raymond T P, Lye David C B, Wong John Eu-Li, Tan Gek-Yen Gladys, Chan Conrad En Zuo, Chow Edward Kai-Hua, Ho Dean

机构信息

The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117456, Singapore.

The N.1 Institute for Health (N.1), National University of Singapore, Singapore, 117456, Singapore.

出版信息

NPJ Digit Med. 2022 Jun 30;5(1):83. doi: 10.1038/s41746-022-00627-4.

Abstract

IDentif.AI-x, a clinically actionable artificial intelligence platform, was used to rapidly pinpoint and prioritize optimal combination therapies against COVID-19 by pairing a prospective, experimental validation of multi-drug efficacy on a SARS-CoV-2 live virus and Vero E6 assay with a quadratic optimization workflow. A starting pool of 12 candidate drugs developed in collaboration with a community of infectious disease clinicians was first narrowed down to a six-drug pool and then interrogated in 50 combination regimens at three dosing levels per drug, representing 729 possible combinations. IDentif.AI-x revealed EIDD-1931 to be a strong candidate upon which multiple drug combinations can be derived, and pinpointed a number of clinically actionable drug interactions, which were further reconfirmed in SARS-CoV-2 variants B.1.351 (Beta) and B.1.617.2 (Delta). IDentif.AI-x prioritized promising drug combinations for clinical translation and can be immediately adjusted and re-executed with a new pool of promising therapies in an actionable path towards rapidly optimizing combination therapy following pandemic emergence.

摘要

IDentif.AI-x是一个具有临床应用价值的人工智能平台,它通过将针对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)活病毒和非洲绿猴肾细胞(Vero E6)检测的多药疗效的前瞻性实验验证与二次优化工作流程相结合,快速确定针对2019冠状病毒病(COVID-19)的最佳联合疗法并确定其优先级。首先,将与一群传染病临床医生合作开发的12种候选药物的初始库缩小到6种药物库,然后以每种药物三个剂量水平对50种联合用药方案进行研究,代表729种可能的组合。IDentif.AI-x显示,EIDD-1931是一种强大的候选药物,可以在此基础上衍生出多种药物组合,并确定了一些具有临床应用价值的药物相互作用,这些相互作用在SARS-CoV-2变异株B.1.351(贝塔)和B.1.617.2(德尔塔)中得到了进一步证实。IDentif.AI-x为临床转化确定了有前景的药物组合,并且在大流行出现后,可以在快速优化联合疗法的可行路径中,立即使用新的有前景疗法库进行调整和重新执行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5556/9247071/c9c6e38440f1/41746_2022_627_Fig1_HTML.jpg

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