Author

Cicely K. Macnamara

University of GlasgowORCID 0000-0003-4961-6052Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alfonso CaiazzoiD· 1 shared Ignacio Ramis-Conde· 1 shared Marco RusconeiD· 1 shared Robyn ShuttleworthiD· 1 shared Tommaso LorenziiD· 1 shared Vincent NoëliD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperCancer Biology

Alfonso CaiazzoORCID

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2 papers

Recent·Most cited

Systems BiologyGigabytePeer-reviewedOct 16, 2024

PhysiMeSS - A New PhysiCell Addon for Extracellular Matrix Modelling

Vincent Noël, Marco Ruscone, Robyn Shuttleworth, Cicely K. Macnamara

PhysiMeSS extends PhysiCell to model extracellular matrix fibers and their interactions, enabling more accurate simulations of cancer metastasis.

9 citations

experimental assaysoftware / tool

𝕏 PostBluesky

Cancer BiologybioRxivPreprintMay 30, 2024

An agent-based modelling framework for tumour growth incorporating mechanical and evolutionary aspects of cell dynamics

Cicely K. Macnamara, Ignacio Ramis-Conde, Tommaso Lorenzi, Alfonso Caiazzo

This paper develops an agent-based model of tumor growth that integrates mechanical and evolutionary dynamics, showing phenotypic heterogeneity arises from oxygen distribution inhomogeneities.

1 citation

deep learningcancer & tumor microenvironment

𝕏 PostBluesky