Abstract
Bacterial identification can take hours and often longer, precious time when diagnosing infections and selecting appropriate treatments. There may be a quicker, more accurate process according to researchers at KAIST. By teaching a deep learning algorithm to identify the fingerprint" spectra of the molecular components of various bacteria, the researchers could classify various bacteria in different media with accuracies of up to 98%."
Key Data
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Publication Date04 March 2022
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Primary AuthorKAIST
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SourcePhys.org
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LanguageEnglish
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