Author

A. Kiemen

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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Cancer Biology· 2 Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Research Focus:clustering· 2 Approach:experimental assay· 2 Assay:organoid / primary culture· 2 Research Focus:spatial domain detection· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

D. Wirtz· 4 shared P.-H. Wu· 3 shared G. C. Russo· 2 shared I.-M. Shih· 2 shared M. Habibi· 2 shared M.-H. Lee· 2 shared T.-L. Wang· 2 shared A. Forjaz· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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4 shared papersCancer Biology

D. Wirtz

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Mechano-induced homotypic patterned domain formation by monocytes

W. Du, J. Zhu, Y. Wu, A. Kiemen, S. Sun, D. Wirtz

This study shows human monocytes form patterned multicellular domains on soft matrices through local adhesion and global inhibition, with a computational model validating the mechanism.

bioRxiv · Jul 27, 2023 · PreprintBiophysics

Precision-engineered biomimetics: the human fallopian tube

A. J. Crawford, A. Forjaz, I. Bhorkar, T. Roy, D. Schell, V. Queiroga, K. Ren, D. Kramer, J. Bons, W. Huang, G. C. Russo, M.-H. Lee, B. Schilling, P.-H. Wu, I.-M. Shih, , D. Wirtz

The paper develops a precision-engineered multi-compartment organoid model of the human fallopian tube validated against a 3D single-cell reference map.

bioRxiv · Jun 6, 2023 · PreprintBioengineering

Deep Learning Identification of Stiffness Markers in Breast Cancer

A. Sneider, J. H. Kim, A. Kiemen, P.-H. Wu, M. Habibi, M. White, J. M. Phillip, L. Gu, D. Wirtz

This study uses deep learning to identify stiffness markers in breast cancer tissue, finding that straight collagen percentage best correlates with tissue stiffness.

bioRxiv · Dec 17, 2020Cancer Biology

Multi-compartment tumor organoids

M.-H. Lee, Y. S. Rahmanto, G. C. Russo, P.-h. Wu, D. Gilkes, A. Kiemen, T. Miyamoto, Y. Yu, M. Habibi, I.-M. Shih, T.-L. Wang, D. Wirtz

This paper develops a high-throughput microtechnology to create multi-compartment tumor organoids that mimic tumor microenvironments and improve drug response and tumor progression studies.

bioRxiv · Nov 3, 2020Cancer Biology