Multiscale computer modeling to predict bleeding risk from blood-contacting heart devices
Official title: Multiscale Computational Modeling for Assessing Shear-Induced Bleeding Risk in Blood Contacting Medical Devices
Funded at Lawrence Technological University · NIH-11360751 · Data updated 2026-11-12
A computer model will predict how heart devices that touch blood cause bleeding by affecting von Willebrand factor and platelets, aiming to guide safer device design.
Quick facts
| Grant type | R15 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Lawrence Technological University NIH-funded |
| Lab location | 1 site (Southfield, United States) |
| Project start | July 10, 2026 |
| Project end | June 30, 2029 |
| Funding year | 2026 |
| Award (this year) | $444,589 |
| NIH project number | 1R15HL181624-01A1 |
| Project ID | NIH-11360751 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients who may need or already have BCMDs (e.g., ventricular assist devices, artificial hearts) could benefit from safer device designs in the future.
✕Less likely to help
This specific project isComputational and design-focused; direct patient benefit would come from later translation of safer devices.
What this research studies
If you have a heart condition that might require a blood-contacting device, this project builds a detailed computer model to understand how device design affects blood components that control clotting and bleeding. The team will create multiscale simulations of VWF and platelet responses to different device features, then relate those changes to how bleeding risk might change. The goal is to inform design choices that reduce bleeding while preserving device effectiveness, potentially leading to safer implants or assist devices. The work combines engineering, biology, and computational science to translate findings into better device safety.
Why it matters
Potential benefit: If successful, the research could lead to safer BCMDs with lower bleeding risk for patients.
How similar studies have gone: Prior work has shown that device design can influence blood component behavior, but this project aims for a more comprehensive predictive model, which is innovative.
Where this research is happening
-
Lawrence Technological University
Southfield, United States Active
Researchers
- Principal investigator: He, Ge — Lawrence Technological University
- Study coordinator: He, Ge
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.