Author

O. Camara

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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Bioengineering· 2 Microbiology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:simulation· 3 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:E. coli· 1 Organism:human· 1

Frequent Co-Authors

A. L. Olivares· 3 shared A. C. Hocke· 1 shared C. Albors· 1 shared C. Ruiz Wills· 1 shared H. Cochet· 1 shared J. Mill· 1 shared J. Q. Boedicker· 1 shared K. Schmid· 1 shared

Activity by Year

2021-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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3 shared papersBioengineering

A. L. Olivares

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

The influence of scaffold deformation and fluid mechanical stimuli on bone tissue differentiation.

L. Moliner, C. Ruiz Wills, O. Camara, A. L. Olivares

This study uses in-silico fluid-structure interaction models to evaluate how scaffold deformation and fluid mechanical stimuli affect bone tissue differentiation.

bioRxiv · Feb 29, 2024 · PreprintBioengineering

Inference of alveolar capillary network connectivity from blood flow dynamics

K. Schmid, A. L. Olivares, O. Camara, W. M. Kuebler, M. Ochs, A. C. Hocke, S. C. Fischer

This paper infers the connectivity of alveolar capillary networks from blood flow dynamics using computational models and simulations.

bioRxiv · Jan 22, 2024Physiology

Impact of occluder device configurations in in-silico left atrial hemodynamics for the analysis of device-related thrombus

C. Albors, J. Mill, A. L. Olivares, X. Iriart, H. Cochet, O. Camara

This study uses in-silico simulations to analyze LAAO device configurations and identifies that covering the pulmonary ridge and using disk-based devices reduces device-related thrombus risk.

bioRxiv · Jan 11, 2024Bioengineering

Optimal strategy for public good production is set by balancing intertemporal trade-off between population growth rate and carrying capacity

M. S. Gangan, M. M. Vasconcelos, U. Mitra, O. Camara, J. Q. Boedicker

The paper examines how bacteria optimize public good production by balancing the trade-off between reduced growth rate and increased carrying capacity through quorum sensing.

bioRxiv · Jul 22, 2021 · PreprintMicrobiology