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针对大肠杆菌尿路感染的预测性菌体疗法:基于机器学习模型的尾酒选择疗法

Marianne Keith1, Alba Park de la Torriente1, Antonia Chalka1

  • 1The Roslin Institute, Division of Bacteriology, University of Edinburgh, Edinburgh EH25 9RG, United Kingdom.

Proceedings of the National Academy of Sciences of the United States of America
|March 13, 2024
PubMed
概括

这项研究引入了使用机器学习 (ML) 选择菌体尾酒治疗细菌感染的预测性菌体 (菌体) 疗法. 通过分析基因组数据和菌体相互作用,ML模型预测了对大肠杆菌的有效菌体治疗方法.

关键词:
美国大肠杆菌 (E. coli).这是一个UTI,UTI是UTI.细菌菌体是一种菌体.机器学习是机器学习.预测性菌体疗法是一种预测性菌体疗法.

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