Multi-Scale Computational Modeling Core with AI for Bioengineering and Musculoskeletal Health
Official title: Multi-Scale Computational Modeling Core (MCM)
Funded at Clemson University · NIH-11413711 · Data updated 2026-11-12
A research core at Clemson University is using advanced computer models and AI to simulate how interventions and devices affect the human body, with a focus on musculoskeletal health.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Clemson University NIH-funded |
| Lab location | 1 site (Clemson, United States) |
| Project start | September 15, 2018 |
| Project end | July 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $306,124 |
| NIH project number | 5P20GM121342-09 |
| Project ID | NIH-11413711 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with musculoskeletal health concerns who may participate in or be impacted by computational virtual trials or future device/therapy testing.
✕Less likely to help
This core is infrastructure-focused and does not involve direct patient recruitment or a clinical trial itself.
What this research studies
This grant funds a core that develops and runs multi-scale computer models—from molecules to populations—to predict how new therapies and devices will affect people. It adds AI and machine learning to handle big data and improve prediction accuracy for virtual human trials. The core also provides guidance, training, and computation resources to SC-TRIMH investigators to maximize modeling impact. Researchers collaborate across disciplines to translate computational insights into safer and more effective interventions for body health. The work aims to become a regional hub for AI-enabled computational bioengineering in South Carolina.
Why it matters
Potential benefit: If successful, patients could benefit from faster, more accurate predictions of how new treatments or devices may affect them before clinical testing.
How similar studies have gone: Similar AI-augmented multi-scale modeling efforts have shown promise in improving the design and evaluation of biomedical interventions.
Where this research is happening
-
Clemson University
Clemson, United States Active
Researchers
- Principal investigator: Yao, Hai — Clemson University
- Study coordinator: Yao, Hai
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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.