Author

Nika Gvazava

Lund UniversityORCID 0000-0001-8586-2192Unclaimed 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:cell type annotation· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Darcy Elizabeth WagneriD· 3 shared Iran A. N. SilvaiD· 2 shared V. R. SkorykiD· 2 shared August Lidfeldt· 1 shared Chimezie H. Umeano· 1 shared Daniella Rylander OttossoniD· 1 shared David BryderiD· 1 shared Efraín Cepeda-PradoiD· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersMolecular Biology

Darcy Elizabeth WagnerORCID

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Author profile →

3 papers

Recent·Most cited

Transcriptional Roadmap of the Human Airway Epithelium Identifying HLF as a Novel Regulator of Basal Stem Cell Function

Pavan Prabhala, Sofia Freiman, Nika Gvazava, Jiten Sharma, Sofia C. Wijk, Karina Kanzenbach, Stefan Lang, Rebecka Cattani, Jenny Wigén, David Bryder, Shamit Soneji, Johan Flygare, Ellen Tufvesson, Leif Hilding Bjermer, Darcy Elizabeth Wagner, , Mattias Magnusson

The paper maps the transcriptional landscape of the human airway epithelium and identifies HLF as a regulator of basal stem cell function and tumor suppression.

bioRxiv · May 6, 2025 · PreprintMolecular Biology

Label-free high-resolution infrared spectroscopy for spatiotemporal analysis of complex living systems

Nika Gvazava, Sabine C Konings, Efraín Cepeda-Prado, V. R. Skoryk, Chimezie H. Umeano, Jiao Dong, Iran A. N. Silva, Daniella Rylander Ottosson, Nicholas D. Leigh, Darcy Elizabeth Wagner, Oxana l. Klementieva

This paper demonstrates the use of O-PTIR for fast, non-destructive spatiotemporal chemical analysis of unprocessed biopsies, living brain tissue, and vertebrates.

Journal of the American Chemical Society · Nov 2, 2023Peer-reviewedMolecular Biology

Deep learning for rapid and reproducible histology scoring of lung injury in a porcine model

Iran A. N. Silva, Salma Kazemi Rashed, Ludwig Hedlund, August Lidfeldt, Nika Gvazava, John Stegmayr, V. R. Skoryk, Sonja Aits, Darcy Elizabeth Wagner

This study evaluates the reproducibility of human histology scoring for ARDS in a porcine model and demonstrates that CNNs can automate the process with acceptable performance.

bioRxiv · May 12, 2023 · PreprintBioinformatics