Author

Beate Spießberger

Max-von-Pettenkofer-Institut für Hygiene und Medizinische Mikrobiologie

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

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Microbiology· 1

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

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Atefeh KazeroonianiD· 1 shared Christian SchulziD· 1 shared Daksh P.S. Pamar· 1 shared Diyuan LuiD· 1 shared Florent AilloudiD· 1 shared Markus GerhardiD· 1 shared Michael Floßdorf· 1 shared Michael P. MendeniD· 1 shared

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1 shared paperMicrobiology

Atefeh KazeroonianORCID

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1 paper

Recent·Most cited

MicrobiologybioRxivPreprintAug 7, 2025

Decoding Helicobacter pylori Resistance: Machine Learning Enhanced Prediction of Antibiotic Susceptibility using Whole-Genome Sequencing

Florent Ailloud, Diyuan Lu, Beate Spießberger…·Sebastian Suerbaum

This study uses machine learning to improve metronidazole resistance prediction in Helicobacter pylori using whole-genome sequencing, achieving better accuracy than traditional methods.

DOI 10.1101/2025.08.07.669068

humanwhole-genome sequencing

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