Author

A. Bick

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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Ecology· 3 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 3 Approach:experimental assay· 2 Assay:imaging· 2 Approach:deep learning· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

S. S. Sethi· 3 shared B. V. Hillier· 2 shared C. Rosten· 2 shared M. Somveille· 2 shared M.-N. Tuanmu· 2 shared A. Becker· 1 shared A. Link· 1 shared A. Thiel-Bodenstaff· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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3 shared papersEcology

S. S. Sethi

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

National-scale acoustic monitoring of avian biodiversity and migration

A. Bick, V. Bakkestuen, B. Cretois, B. V. Hillier, J. A. Kalas, M. Pedersen, K. Raja, C. Rosten, M. Somveille, B. Stokke, J. Wiel, S. S. Sethi

This study uses national-scale passive acoustic monitoring to track avian migration patterns and develop species distribution models for three passerine species.

bioRxiv · May 21, 2024Ecology

Automatic vocalisation detection delivers reliable, multi-faceted, and global avian biodiversity monitoring

S. S. Sethi, A. Bick, M.-Y. Chen, R. Crouzeilles, B. V. Hillier, J. Lawson, C.-Y. Lee, S.-H. Liu, C. H. d. F. Parruco, C. Rosten, M. Somveille, M.-N. Tuanmu, C. Banks-Leite

The paper applies a pre-trained bird vocalisation detection model to global audio datasets, achieving high precision for many species and enabling biodiversity monitoring across multiple spatial and temporal scales.

bioRxiv · Sep 14, 2023 · PreprintEcology

Is there an accurate and generalisable way to use soundscapes to monitor biodiversity?

S. S. Sethi, A. Bick, R. M. Ewers, H. Klinck, V. Ramesh, M.-N. Tuanmu, D. A. Coomes

This study investigates the generalisability of soundscape analysis for biodiversity monitoring and finds that acoustic features and machine learning models are inconsistent across datasets.

bioRxiv · Dec 19, 2022 · PreprintEcology

Autoantibodies against Progranulin and IL-1 receptor antagonist due to immunogenic posttranslational isoforms contribute to hyperinflammation in critically ill COVID-19

L. Thurner, N. Fadle, M. Bewarder, I. Kos, E. Regitz, O. Cetin, B. Thurner, Y. Fischer, T. Rixecker, K.-D. Preuss, C. Schormann, F. Neumann, S. Hartmann, T. Bock, D. Kaddu-Mulindwa, , S. Koerper

This study identifies autoantibodies against PGRN and IL-1-Ra in critical COVID-19 patients, linked to hyperphosphorylated isoforms and increased inflammation.

bioRxiv · Apr 23, 2021 · PreprintImmunology