ArticleBlood2012
Multiscale prediction of patient-specific platelet function under flow.
Article in Blood, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
74 citing papers in PubMed, 1 synthesis or guideline pooled it, 122 citations in OpenAlex.
- Artificial intelligence in computational modeling of thrombosis: Bridging mechanistic insights and clinical translation.Journal of thrombosis and thrombolysis · 2026Pooled it
- Mesoscale Simulations of Blood Coagulation in Flow and Quiescent Domains Using SDPD.International journal for numerical methods in biomedical engineering · 2026Article
- A three-dimensional shear dependent continuum model of platelet aggregation under flow.PLoS computational biology · 2026Article
- Artificial Intelligence in Haematologic Diagnostics: Current Applications and Future Perspectives.Acta haematologica · 2026Review
- Optimization of the Parameters of a Minimal Coagulation Model.Bioengineering (Basel, Switzerland) · 2025Article
- Insights into the Expression, Structure, and Function of the Thromboxane AACS pharmacology & translational science · 2025Review
- Multiscale simulations that incorporate patient-specific neural network models of platelet calcium signaling predict diverse thrombotic outcomes under flow.PLoS computational biology · 2025Article
- Advances in Platelet-Dysfunction Diagnostic Technologies.Biomolecules · 2024Review
- Platelet Biorheology and Mechanobiology in Thrombosis and Hemostasis: Perspectives from Multiscale Computation.International journal of molecular sciences · 2024Review
- Decoding thrombosis through code: a review of computational models.Journal of thrombosis and haemostasis : JTH · 2024Review
- von Willebrand factor unfolding mediates platelet deposition in a model of high-shear thrombosis.Biophysical journal · 2022Article
- Recent Advances in Computational Modeling of Biomechanics and Biorheology of Red Blood Cells in Diabetes.Biomimetics (Basel, Switzerland) · 2022Article
- A three-dimensional multiscale model for the prediction of thrombus growth under flow with single-platelet resolution.PLoS computational biology · 2022Article
- Point of care whole blood microfluidics for detecting and managing thrombotic and bleeding risks.Lab on a chip · 2021Review
- Multi-omics approaches for revealing the complexity of cardiovascular disease.Briefings in bioinformatics · 2021Review
- Influence of shear rate and surface chemistry on thrombus formation in micro-crevice.Journal of biomechanics · 2021Article
- The Art and Science of Building a Computational Model to Understand Hemostasis.Seminars in thrombosis and hemostasis · 2021Review
- Integrating blood cell mechanics, platelet adhesive dynamics and coagulation cascade for modelling thrombus formation in normal and diabetic blood.Journal of the Royal Society, Interface · 2021Article
- Modeling Thrombus Shell: Linking Adhesion Receptor Properties and Macroscopic Dynamics.Biophysical journal · 2021Article
- Computationally Driven Discovery in Coagulation.Arteriosclerosis, thrombosis, and vascular biology · 2021Review
14 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
During thrombotic or hemostatic episodes, platelets bind collagen and release ADP and thromboxane A(2), recruiting additional platelets to a growing deposit that distorts the flow field. Prediction of clotting function under hemodynamic conditions for a patient's platelet phenotype remains a challenge. A platelet signaling phenotype was obtained for 3 healthy donors using pairwise agonist scanning, in which calcium dye-loaded platelets were exposed to pairwise combinations of ADP, U46619, and convulxin to activate the P2Y(1)/P2Y(12), TP, and GPVI receptors, respectively, with and without the prostacyclin receptor agonist iloprost. A neural network model was trained on each donor's pairwise agonist scanning experiment and then embedded into a multiscale Monte Carlo simulation of donor-specific platelet deposition under flow. The simulations were compared directly with microfluidic experiments of whole blood flowing over collagen at 200 and 1000/s wall shear rate. The simulations predicted the ranked order of drug sensitivity for indomethacin, aspirin, MRS-2179 (a P2Y(1) inhibitor), and iloprost. Consistent with measurement and simulation, one donor displayed larger clots and another presented with indomethacin resistance (revealing a novel heterozygote TP-V241G mutation). In silico representations of a subject's platelet phenotype allowed prediction of blood function under flow, essential for identifying patient-specific risks, drug responses, and novel genotypes.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.