Digital Twin for Personalized Spine Fracture Prediction in Osteoporosis
Official title: SCH: Digital Twin Systems for Personalized Prediction of Osteoporotic Spine
Funded at Texas Engineering Experiment Station · NIH-11577865 · Data updated 2026-11-12
A patient-focused project that uses CT scans and a digital twin model to predict where an osteoporotic spine might fracture during everyday activities.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Texas Engineering Experiment Station NIH-funded |
| Lab location | 1 site (College Station, United States) |
| Project start | September 1, 2026 |
| Project end | August 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $273,198 |
| NIH project number | 1R01AR089414-01 |
| Project ID | NIH-11577865 on NIH RePORTER |
Who could benefit from this research
✓Could help
Older adults with osteoporosis who are at risk for vertebral fractures and could benefit from personalized fracture risk prediction.
✕Less likely to help
Patients without osteoporosis or those who do not undergo spine imaging or activity loading assessments may not directly benefit.
What this research studies
This project will create a patient-specific digital twin of the spine that combines CT-based bone structure with activity loading to estimate localized fracture risk. Using cadaver data for physics and personalized Bayesian methods, it aims to produce individualized predictions with quantified uncertainty. The research will translate complex mechanics into a practical framework to support prevention and spine treatment planning for older adults with osteoporosis.
Why it matters
Potential benefit: If successful, patients could receive personalized fracture risk assessments and more targeted spine care plans.
How similar studies have gone: Previous work shows promise in personalized fracture risk modeling, but this project advances toward patient-specific, physics-informed predictions with uncertainty.
Where this research is happening
-
Texas Engineering Experiment Station
College Station, United States Active
Researchers
- Principal investigator: Lee, Jaesung — Texas Engineering Experiment Station
- Study coordinator: Lee, Jaesung
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.