Author

Atefeh Kazeroonian

Technical University of MunichORCID 0000-0002-5180-8937Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 1

Signature Assays, Organisms & Methods

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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

Frequent Co-Authors

Beate Spießberger· 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

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

Beate Spießberger

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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