Author

M. Osthoff

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. Cuenod· 1 shared A. Egli· 1 shared B. Rieck· 1 shared C. Lang· 1 shared C. Weis· 1 shared F. Llinares-Lopez· 1 shared K. Borgwardt· 1 shared K. K. Soegaard· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

A. Cuenod

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1 paper

Recent·Most cited

Direct Antimicrobial Resistance Prediction from clinical MALDI-TOF mass spectra using Machine Learning

C. Weis, A. Cuenod, B. Rieck, F. Llinares-Lopez, O. Dubuis, S. Graf, C. Lang, M. Oberle, M. Brackmann, K. K. Soegaard, M. Osthoff, K. Borgwardt, A. Egli

This study uses machine learning to predict antimicrobial resistance from MALDI-TOF mass spectra, achieving high AUROC values and showing potential to improve clinical treatment decisions.

bioRxiv · Jul 30, 2020Microbiology