Author

Adelinn Kalman

Karolinska InstitutetORCID 0000-0002-1539-0633Unclaimed 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:drug response / drug discovery· 2 Organism:human· 2 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:microscopy & imaging analysis· 1 Assay:proteomics· 1

Frequent Co-Authors

Andrea ZalianiiD· 2 shared Brinton A. Seashore-LudlowiD· 2 shared Hanna AxelssoniD· 2 shared Maria KuzikoviD· 2 shared Päivi ÖstlingiD· 2 shared Philip M. GribboniD· 2 shared Alicia Soler· 1 shared Donald C. LoiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersMicrobiology

Andrea ZalianiORCID

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Author profile →

2 papers

Recent·Most cited

Morphological cell profiling for drug repurposing against SARS-CoV-2 infection

Elin Asp, Jonne Rietdijk, Marianna Tampere, Hanna Axelsson, Duncan T. Njenda, Swapnil Potdar, Adelinn Kalman, Polina Georgieva, Maris Lapins, Flavio Ballante, Alicia Soler, Martin de Kort, Tero A. Aittokallio, Andrea Zaliani, Maria Kuzikov, , Päivi Östling

The paper identifies host-targeting antivirals against SARS-CoV-2 using morphological profiling, finding compounds that reverse infected cell phenotypes and validate host processes hijacked by viruses.

bioRxiv · Aug 28, 2025 · PreprintMicrobiology

Interdisciplinary Study on Drug-Induced-Phospholipidosis of Repurposing Libraries through Machine Learning and Experimental Evaluation in Different Cell Lines

Maria Kuzikov, Adelinn Kalman, Jeanette Reinshagen, Johanna Huchting, Kun Qian, Hanna Axelsson, Päivi Östling, Brinton A. Seashore-Ludlow, Yojana Gadiya, Philip M. Gribbon, Andrea Zaliani

The paper develops a machine learning model to predict drug-induced phospholipidosis using a large dataset of repurposed drugs tested across multiple cell lines.

bioRxiv · Jul 8, 2025 · PreprintMolecular Biology