Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41746-022-00627-4
Title: The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens.
Authors: Blasiak, Agata 
Truong, Anh TL 
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 TP
Lye, David CB 
Wong, John Eu-Li 
Tan, Gek-Yen Gladys
Chan, Conrad En Zuo
Chow, Edward Kai-Hua 
Ho, Dean 
Issue Date: 30-Jun-2022
Publisher: Springer Science and Business Media LLC
Citation: Blasiak, Agata, Truong, Anh TL, 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 TP, Lye, David CB, Wong, John Eu-Li, Tan, Gek-Yen Gladys, Chan, Conrad En Zuo, Chow, Edward Kai-Hua, Ho, Dean (2022-06-30). The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens.. NPJ Digit Med 5 (1) : 83-. ScholarBank@NUS Repository. https://doi.org/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.
Source Title: NPJ Digit Med
URI: https://scholarbank.nus.edu.sg/handle/10635/228508
ISSN: 2398-6352
DOI: 10.1038/s41746-022-00627-4
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