Modeling how the cardiovascular system adapts over time
Dynamic models of the cardiovascular system capturing years, rather than heartbeats
This study is looking to create personalized digital models of your heart and blood vessels to help doctors understand how your body responds to different treatments over time, so they can better manage your heart health.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-10899484 on NIH RePORTER |
What this research studies
This research aims to predict how a patient's vascular system responds to various treatments and stimuli over extended periods, rather than just during short intervals. By integrating advanced machine learning techniques with physics-based simulations and data from wearable sensors, the project seeks to create personalized digital models of patients' cardiovascular systems. This approach allows for real-time monitoring and long-term predictions of hemodynamic changes, which can significantly enhance treatment planning and disease management for cardiovascular conditions.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with existing cardiovascular conditions who require tailored treatment plans.
Not a fit: Patients without cardiovascular issues or those who do not have access to wearable health monitoring devices may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatment strategies for patients with cardiovascular diseases.
How similar studies have performed: Other research has shown promise in using machine learning and digital modeling for cardiovascular applications, indicating a potential for success in this novel approach.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Randles, Amanda E — Duke University
- Study coordinator: Randles, Amanda E
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 below.