Author

Stéphane Avril

InsermORCID 0000-0002-8604-7736Unclaimed 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 type annotation· 2 Organism:human· 2 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Amber HendrickxiD· 1 shared Amélie Prier· 1 shared Anne‐Claire DucheziD· 1 shared Bart MeurisiD· 1 shared Charles‐Antoine Arthaud· 1 shared Corey P. NeuiD· 1 shared Deniz Ozturk· 1 shared Fabrice CognasseiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperBioengineering

Amber HendrickxORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Feasibility study of fluid-structure-growth modelling in the context of endogenous tissue restoration

Lauranne Maes, Amber Hendrickx, Hadi Asgharzadeh Shirazi, Deniz Ozturk, Maria Bastron, Tahir Turgut, Vincent Bouwman, Nils Götzen, Thibault Vervenne, Malte Rolf‐Pissarczyk, Felipe Sempértegui, Martijn A. J. Cox, Stéphane Avril, Gerhard A. Holzapfel, Bart Meuris, Nele Famaey

This study develops and validates two fluid-structure-growth models to predict long-term outcomes of vascular grafts in endogenous tissue restoration.

bioRxiv · Oct 20, 2026 · PreprintBioengineering

Granular Extracellular Matrix (gECM) Hydrogel Wafers as Shelf-Stable 2.5D Substrates for Microphysiological Modeling

Juliet O. Heye, Shannon A. Blanco, Stephanie Ellyse Schneider, Shantae Gallegos, Jeanne E. Barthold, Michael Floren, Victor Acosta, Stéphane Avril, Corey P. Neu

The paper introduces gECM hydrogel wafers as shelf-stable 2.5D substrates for microphysiological modeling, showing they support cell viability and function comparable to 3D hydrogels.

bioRxiv · May 29, 2026 · PreprintBioengineering

A biomathematical approaches models to identify human platelet activation signature in response to various agonists

Fabrice Cognasse, Kim Anh Nguyen, Marco Heestermans, Charles‐Antoine Arthaud, Marie‐Ange Eyraud, Amélie Prier, Simon de Bernard, Julien Nourikyan, Anne‐Claire Duchez, Stéphane Avril, Olivier Garraud, Hind Hamzeh‐Cognasse

This study uses biomathematical models to identify platelet activation signatures in response to various agonists, finding a six-marker panel with 86.8% accuracy in classifying stimuli.

bioRxiv · Feb 6, 2025 · PreprintCell Biology