Author

Patrik Svedberg

University of GothenburgORCID 0000-0001-6622-5366Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Pharmacology & Toxicology· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:ecology & biodiversity· 1 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1 Organism:multiple species· 1 Approach:statistical model· 1

Frequent Co-Authors

Thomas BackhausiD· 2 shared Erik KristianssoniD· 1 shared Fabian G. WeichertiD· 1 shared Henner HollertiD· 1 shared Jens HenrikssoniD· 1 shared Jörg Ahlheim· 1 shared Mario BraunsiD· 1 shared Martin Krayer Von KraussiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersPharmacology & Toxicology

Thomas BackhausORCID

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2 papers

Recent·Most cited

Assessing chemical toxicity across Eukaryota using multimodal transformers

Styrbjörn Käll, Mikael B. Gustavsson, Patrik Svedberg, Mercedes Dalman, Jens Henriksson, Thomas Backhaus, Erik Kristiansson

TRIDENT-2 predicts chemical toxicity across eukaryotic species using multimodal transformers, achieving accuracy across diverse chemicals and taxa.

bioRxiv · Sep 29, 2026 · PreprintPharmacology & Toxicology

AI-aided chronic mixture risk assessment along a small European river reveals multiple sites at risk and pharmaceuticals being the main risk drivers

Fabian G. Weichert, Pedro A. Inostroza, Jörg Ahlheim, Thomas Backhaus, Werner Brack, Mario Brauns, Patrick Fink, Martin Krayer Von Krauss, Patrik Svedberg, Henner Hollert

The paper uses AI to assess chronic chemical risks in river water, identifying pharmaceuticals as key risk drivers and fish as the most vulnerable group.

Environment International · Mar 1, 2025Peer-reviewedPharmacology & Toxicology