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Cited article:

An Individualized Blood Coagulation Model to Predict INR Therapeutic Range During Warfarin Treatment

A. Bouchnita, K. Bouzaachane, T. Galochkina, P. Kurbatova, P. Nony, V. Volpert

Math. Model. Nat. Phenom., 11 6 (2016) 28-44

Published online: 2017-01-04

DOI: https://doi.org/10.1051/mmnp/201611603

This article has been cited by the following article(s):

A mathematical model to quantify the effects of platelet count, shear rate, and injury size on the initiation of blood coagulation under venous flow conditions

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PLOS ONE 15 (7) e0235392 (2020)
DOI: 10.1371/journal.pone.0235392
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Modeling of the effects of IL-17 and TNF- α on endothelial cells and thrombus growth

Anass Bouchnita, Pierre Miossec, Alen Tosenberger and Vitaly Volpert
Comptes Rendus Biologies 340 (11-12) 456 (2017)
DOI: 10.1016/j.crvi.2017.10.002
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Mathematics of Pharmacokinetics and Pharmacodynamics: Diversity of Topics, Models and Methods

G. Bocharov, A. Bouchnita, J. Clairambault, et al.
Mathematical Modelling of Natural Phenomena 11 (6) 1 (2016)
DOI: 10.1051/mmnp/201611601
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Modeling thrombosis in silico: Frontiers, challenges, unresolved problems and milestones

A.V. Belyaev, J.L. Dunster, J.M. Gibbins, M.A. Panteleev and V. Volpert
Physics of Life Reviews 26-27 57 (2018)
DOI: 10.1016/j.plrev.2018.02.005
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A multiscale model of platelet-fibrin thrombus growth in the flow

Anass Bouchnita and Vitaly Volpert
Computers & Fluids 184 10 (2019)
DOI: 10.1016/j.compfluid.2019.03.021
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Combining mathematical modeling and deep learning to make rapid and explainable predictions of the patient-specific response to anticoagulant therapy under venous flow

Anass Bouchnita, Patrice Nony, Jean-Pierre Llored and Vitaly Volpert
Mathematical Biosciences 349 108830 (2022)
DOI: 10.1016/j.mbs.2022.108830
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