Author

V. Malmsjö

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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Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

A. Hellander· 1 shared A. Sabirsh· 1 shared C. Wählby· 1 shared H. Wieslander· 1 shared J. Karlsson· 1 shared O. Spjuth· 1 shared P. J. Harrison· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperCell Biology

A. Hellander

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1 paper

Recent·Most cited

Deep learning models for lipid-nanoparticle-based drug delivery

P. J. Harrison, H. Wieslander, A. Sabirsh, J. Karlsson, V. Malmsjö, A. Hellander, C. Wählby, O. Spjuth

The paper uses deep learning models to predict GFP expression in HepG2 cells exposed to lipid-nanoparticle-based mRNA therapeutics, showing improved performance with temporal dynamics modeling.

bioRxiv · Apr 6, 2020Cell Biology