Application of Mass Spectrometry-Based Metabolomics and Machine Learning in the Diagnostics of Lyme Neuroborreliosis
- DOI
- 10.1021/acsomega.5c10792
- Published
- 2026-03-12
- Container
- ACS Omega
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acsomega.5c10792,
title = {Application of Mass Spectrometry-Based Metabolomics and Machine Learning in the Diagnostics of Lyme Neuroborreliosis},
author = {Ilari Kuukkanen and Geraldson Muluh and Đorđe Klisura and Elisa Kortela and Annukka Pietikäinen and Leo Lahti and Jukka Hytönen and Maarit Karonen},
year = {2026},
journal = {ACS Omega},
doi = {10.1021/acsomega.5c10792},
url = {https://doi.org/10.1021/acsomega.5c10792}
}RIS
TY - JOUR TI - Application of Mass Spectrometry-Based Metabolomics and Machine Learning in the Diagnostics of Lyme Neuroborreliosis AU - Ilari Kuukkanen AU - Geraldson Muluh AU - Đorđe Klisura AU - Elisa Kortela AU - Annukka Pietikäinen AU - Leo Lahti AU - Jukka Hytönen AU - Maarit Karonen PY - 2026 JO - ACS Omega DO - 10.1021/acsomega.5c10792 UR - https://doi.org/10.1021/acsomega.5c10792 ER -
APA
Kuukkanen, I., Muluh, G., Klisura, Đ., Kortela, E., Pietikäinen, A., Lahti, L., Hytönen, J., & Karonen, M. (2026). Application of Mass Spectrometry-Based Metabolomics and Machine Learning in the Diagnostics of Lyme Neuroborreliosis. ACS Omega. https://doi.org/10.1021/acsomega.5c10792
Source records
- crossref · retrieved 2026-09-26T02:25:02.573Z