Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 23, 2026

Microfluidics in Assessing Platelet Function
06:47

Microfluidics in Assessing Platelet Function

Published on: November 8, 2024

Multiscale prediction of patient-specific platelet function under flow.

Matthew H Flamm1, Thomas V Colace, Manash S Chatterjee

  • 1Institute for Medicine and Engineering, Department of Chemical and Biomolecular Engineering, Vagelos Research Laboratories, University of Pennsylvania, Philadelphia, PA 19104, USA.

Blood
|April 21, 2012
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Population Pharmacokinetic, Exposure-Response Efficacy and Safety Analyses of Favezelimab in Patients With Solid Tumors.

Clinical and translational science·2026
Same author

Modelling the role of interaction heterogeneity in the gelation of micron-scale colloidal systems.

Soft matter·2026
Same author

Coordination-driven liquid-to-solid phase transition and self-assembly of DNA-metal condensates.

Biomaterials science·2026
Same author

Programmable Circular Single-Stranded DNA Acts as Recyclable Anti-miRNA Nucleotides to Inhibit Colorectal Cancer.

Small methods·2026
Same author

Population Pharmacokinetic Modeling and Exposure-Response Analyses of Nemtabrutinib in Patients With Hematologic Malignancies.

CPT: pharmacometrics & systems pharmacology·2026
Same author

von Willebrand Factor fibers formed at pathological high shear provide a scaffold for α-synuclein binding and aggregation.

Scientific reports·2026

Predicting blood clotting is challenging. This study developed a computational model using platelet signaling data to accurately simulate blood flow and predict patient-specific clotting risks and drug responses.

Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Hematology

Background:

  • Platelet activation and aggregation are crucial in hemostasis and thrombosis.
  • Predicting individual clotting function under flow conditions based on platelet phenotype is complex.
  • Current methods lack the ability to fully integrate platelet signaling with hemodynamic forces.

Purpose of the Study:

  • To develop and validate a computational model for predicting patient-specific platelet function under flow.
  • To integrate platelet signaling phenotypes with multiscale simulations for accurate clotting prediction.
  • To assess the model's ability to predict drug responses and identify novel genetic variations.

Main Methods:

  • Obtained platelet signaling phenotypes from healthy donors using pairwise agonist scanning (ADP, U46619, convulxin, iloprost).

More Related Videos

Live-cell Imaging of Platelet Degranulation and Secretion Under Flow
11:42

Live-cell Imaging of Platelet Degranulation and Secretion Under Flow

Published on: July 10, 2017

A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time
09:38

A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time

Published on: February 14, 2017

Related Experiment Videos

Last Updated: May 23, 2026

Microfluidics in Assessing Platelet Function
06:47

Microfluidics in Assessing Platelet Function

Published on: November 8, 2024

Live-cell Imaging of Platelet Degranulation and Secretion Under Flow
11:42

Live-cell Imaging of Platelet Degranulation and Secretion Under Flow

Published on: July 10, 2017

A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time
09:38

A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time

Published on: February 14, 2017

  • Trained neural network models on experimental data to capture donor-specific platelet responses.
  • Embedded trained models into multiscale Monte Carlo simulations of platelet deposition under flow.
  • Validated simulations against microfluidic experiments of whole blood over collagen at varying shear rates.

    • Main Results:

    • The in silico model accurately predicted the ranked drug sensitivity to indomethacin, aspirin, MRS-2179, and iloprost.
    • Simulations successfully replicated donor-specific clotting behaviors, including larger clot formation in one donor.
    • Identified indomethacin resistance in another donor, linked to a novel heterozygote TP-V241G mutation.

    Conclusions:

    • In silico modeling of platelet phenotypes enables accurate prediction of blood function under flow.
    • This approach is essential for identifying patient-specific thrombotic risks and drug responses.
    • The methodology holds potential for discovering novel genetic contributions to platelet disorders.