Article
Phenotype-Based Threat Assessment.
Proceedings of the National Academy of Sciences of the United States of America - 5 Apr 2022
Yang Jing, Eslami Mohammed, Chen Yi-Pei, Das Mayukh, Zhang Dongmei, Chen Shaorong, Roberts Alexandria-Jade, Weston Mark, Volkova Angelina, Faghihi Kasra, Moore Robbie K, Alaniz Robert C, Wattam Alice R, Dickerman Allan, Cucinell Clark, Kendziorski Jarred, Coburn Sean, Paterson Holly, Obanor Osahon, Maples Jason, Servetas Stephanie, Dootz Jennifer, Qin Qing-Ming, Samuel James E, Han Arum, van Schaik Erin J, de Figueiredo Paul
Abstract excerpt
Bacterial pathogen identification, which is critical for human health, has historically relied on culturing organisms from clinical specimens. More recently, the application of machine learning (ML) to whole-genome sequences (WGSs) has facilitated pathogen identification. However, relying solely on genetic information to identify emerging or new pathogens is fundamentally constrained, especially if novel...
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