Author

Jose Manuel Garcia-Aznar

Universidad de ZaragozaORCID 0000-0002-9864-7683Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 2 Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Research Focus:synaptic & neural circuits· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Daniel Camacho-GómeziD· 2 shared David Garcia-Navarro· 1 shared Jack Zhang-ZhouiD· 1 shared Maurizio VentreiD· 1 shared Raffaele Sentiero· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersBioengineering

Daniel Camacho-GómezORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Discrete viscoelastic model of deformable immune cell migration through confined tumor microchannels

David Garcia-Navarro, Jack Zhang-Zhou, Jose Manuel Garcia-Aznar, Daniel Camacho-Gómez

This study develops a discrete viscoelastic model to simulate immune cell migration through confined microchannels, showing how cellular stiffness affects migration efficiency.

bioRxiv · Dec 24, 2025 · PreprintBioengineering

Leveraging agent-based models and deep reinforcement learning to predict taxis in cell migration: Insights from barotaxis

Daniel Camacho-Gómez, Raffaele Sentiero, Maurizio Ventre, José Manuel García‐Aznar

This paper develops a computational framework combining ABM and RL to predict barotactic cell migration using pressure gradients.

npj Systems Biology and Applications · Aug 26, 2025Peer-reviewedBioengineering