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Cited article:

Integrating biomarkers for hemostatic disorders into computational models of blood clot formation: A systematic review

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https://doi.org/10.3934/mbe.2024339

Thrombin Generation Thresholds for Coagulation Initiation under Flow

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Axioms 12 (9) 873 (2023)
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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

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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)
https://doi.org/10.1371/journal.pone.0235392

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
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https://doi.org/10.1016/j.plrev.2018.02.005

Modeling of the effects of IL-17 and TNF-α on endothelial cells and thrombus growth

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https://doi.org/10.1016/j.crvi.2017.10.002

Mathematics of Pharmacokinetics and Pharmacodynamics: Diversity of Topics, Models and Methods

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Mathematical Modelling of Natural Phenomena 11 (6) 1 (2016)
https://doi.org/10.1051/mmnp/201611601