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Research unit
INNOSUISSE
Project number
35569.1 IP-LS
Project title
Leveraging machine-learning assisted MALDI-TOF MS to enable identification and typing of the foodborne pathogen Listeria monocytogenes

Texts for this project
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Short description
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Abstract
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CategoryText
Short description
(German)
Leveraging machine-learning assisted MALDI-TOF MS to enable identification and typing of the foodborne pathogen Listeria monocytogenes
Short description
(English)
Leveraging machine-learning assisted MALDI-TOF MS to enable identification and typing of the foodborne pathogen Listeria monocytogenes
Abstract
(German)
The Institute for Food Safety and Hygiene (UZH) will leverage machine learning algorithms trained by using whole genome sequencing data for processing of MALDI-TOF MS spectra to allow for identification and subtyping of the foodborne pathogen Listeria.