Author

L. H. Mortensen

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 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1

Frequent Co-Authors

I. Heckenbach· 2 shared M. Ben Ezra· 2 shared M. Scheibye-Knudsen· 2 shared D. J. Bakula· 1 shared D. Oro· 1 shared E. Verdin· 1 shared G. V. Mkrtchyan· 1 shared J. B. Garbrecht· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersPhysiology

I. Heckenbach

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2 papers

Recent·Most cited

The human pathome shows sex specific aging patterns post-development

M. Ben Ezra, J. B. Garbrecht, N. Rasmussen, I. Heckenbach, M. A. Petr, D. J. Bakula, L. H. Mortensen, M. Scheibye-Knudsen

The paper analyzes histological data to identify age- and mortality-associated features, revealing sex-specific aging patterns and suggesting nintedanib as a potential aging intervention.

bioRxiv · Feb 27, 2023 · PreprintPhysiology

Deep Learning Shows Cellular Senescence Is a Barrier to Cancer Development

I. Heckenbach, M. Ben Ezra, G. V. Mkrtchyan, J. S. Madsen, M. H. Nielsen, D. Oro, L. H. Mortensen, E. Verdin, R. Westendorp, M. Scheibye-Knudsen

This study uses deep learning to predict cellular senescence from cell morphology and finds higher senescence rates correlate with lower cancer incidence.

bioRxiv · Mar 18, 2021Cell Biology