Author

Bettina Gerner

Boehringer Ingelheim (Germany)

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Organism:rat· 1

Frequent Co-Authors

Christofer S. TautermanniD· 1 shared Ghaith AljayyoussiiD· 1 shared Hermann Rapp· 1 shared Jens Markus BorghardtiD· 1 shared Lina HumbeckiD· 1 shared Miha ŠkaličiD· 1 shared Moritz WalteriD· 1 shared Pavel BalazkiiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Christofer S. TautermannORCID

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1 paper

Recent·Most cited

In silico PK predictions in Drug Discovery: Benchmarking of Strategies to Integrate Machine Learning with Empiric and Mechanistic PK modelling

Moritz Walter, Ghaith Aljayyoussi, Bettina Gerner, Hermann Rapp, Christofer S. Tautermann, Pavel Balazki, Miha Škalič, Jens Markus Borghardt, Lina Humbeck

This study benchmarks ML-integrated approaches for predicting PK profiles in rats, showing comparable accuracy across multiple methods for prioritizing drug candidates.

Clinical and Translational Science · Mar 1, 2025Peer-reviewedBioinformatics