Author

Sohvi Blatter

University of BernORCID 0009-0002-6402-416XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Organism:rat· 1

Frequent Co-Authors

Andrew H. SongiD· 1 shared Andrew ZhangiD· 1 shared Christine GoepfertiD· 1 shared Drew F. K. WilliamsoniD· 1 shared Faisal MahmoodiD· 1 shared Guillaume JaumeiD· 1 shared Javier AsíniD· 1 shared Jorge del PozoiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Andrew H. SongORCID

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1 paper

Recent·Most cited

Deep Learning-based Modeling for Preclinical Drug Safety Assessment

Guillaume Jaume, Simone de Brot, Andrew H. Song, Drew F. K. Williamson, Lukas Oldenburg, Andrew Zhang, Richard J. Chen, Javier Asín, Sohvi Blatter, Martina Dettwiler, Christine Goepfert, Llorenç Grau‐Roma, Sara Soto, Stefan M. Keller, Sven Rottenberg, , Faisal Mahmood

This paper introduces TRACE, a deep learning model for automated liver histopathology assessment in preclinical drug safety, achieving higher concordance than pathologists in lesion scoring and dose-response analysis.

bioRxiv · Jul 20, 2024 · PreprintBioinformatics