Author

A. Hellander

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Biophysics· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

A. Coulier· 2 shared S. Mathias· 2 shared A. Bouchnita· 1 shared A. Sabirsh· 1 shared C. Wählby· 1 shared H. Wieslander· 1 shared J. Karlsson· 1 shared O. Spjuth· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBiophysics

A. Coulier

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

CBMOS: a GPU-enabled Python framework for the numerical study of center-based models

S. Mathias, A. Coulier, A. Hellander

CBMOS is a Python framework for simulating center-based models, showing that backward Euler is less practical due to computational cost despite larger time steps.

bioRxiv · May 6, 2021Biophysics

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

Impact of force function formulations on the numerical simulation of centre-based models

S. Mathias, A. Coulier, A. Bouchnita, A. Hellander

This study evaluates three force functions in centre-based models, showing parameter consistency improves simulation agreement but large time steps can cause unphysical cell behavior.

bioRxiv · Mar 16, 2020Biophysics