Personalized long-term heart and blood vessel model
Dynamic models of the cardiovascular system capturing years, rather than heartbeats
Researchers will build computer models that use your wearable and clinical data to predict how your heart and blood vessels may change over months and years.
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-11126651 on NIH RePORTER |
What this research studies
You would have a personalized “digital twin” of your circulatory system created by combining physics-based 3D simulations with machine learning. The team plans to feed the model streaming data from wearables plus clinical imaging to update predictions in real time. Instead of simulating only a few heartbeats, the model aims to forecast hemodynamic changes over months to years so clinicians can explore treatment effects virtually. The approach is meant to improve monitoring and help plan longer-term care tailored to your physiology.
Who could benefit from this research
Good fit: Ideal candidates are people with cardiovascular conditions (for example hypertension, heart failure, or aortic disease) who can wear sensors and provide imaging or clinical data.
Not a fit: People without vascular conditions, those unable to use wearable devices, or those unwilling/unable to attend imaging visits are unlikely to benefit directly.
Why it matters
Potential benefit: If successful, this could help detect worsening vascular problems earlier and guide more personalized treatment plans by predicting long-term changes in blood flow.
How similar studies have performed: Short-term hemodynamic modeling and machine-learning tools have shown promise, but combining 3D physics-based models with real-time wearables to predict years of change is largely new.
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.