首页> 外文会议>International Mass Spectrometry Conference >ARTIFICIAL INTELLIGENCE ENABLES THE DETECTION OF PATHOGENS IN FOOD AND OTHER COMPLEX BIOLOGICAL MATRICES BY MASS SPECTROMETRIC ANALYSIS OF RNA MODIFICATIONS
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ARTIFICIAL INTELLIGENCE ENABLES THE DETECTION OF PATHOGENS IN FOOD AND OTHER COMPLEX BIOLOGICAL MATRICES BY MASS SPECTROMETRIC ANALYSIS OF RNA MODIFICATIONS

机译:人工智能能够通过RNA修饰的质谱分析来检测食品和其他复杂生物学基质的病原体

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We have recently demonstrated that a variety of microorganisms and viruses can be accurately differentiated according to their specific RNA post-transcriptional modifications (PTMs) observed by MS analysis [1]. We have now employed machine learning to establish a classification and identification platform that capitalizes on comprehensive PTM profiles to enable pathogen detection not only in cell cultures, but also in actual biological samples and materials.
机译:我们最近证明,可以根据MS分析观察到的特定RNA后转录修饰(PTMS)来精确地分化各种微生物和病毒[1]。我们现在已经采用了机器学习,建立了一个分类和识别平台,可以利用综合的PTM型材,以使病原体不仅在细胞培养物中检测,而且在实际的生物样品和材料中能够实现病原体检测。

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