Developing advanced computer models to improve human health
Multi-Scale Computational Modeling Core (MCM)
['FUNDING_OTHER'] · CLEMSON UNIVERSITY · NIH-10912635
This study is all about using advanced computer models to better understand how our bodies work, especially when it comes to muscles and bones, so that researchers can find new and improved treatments for people like you.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | CLEMSON UNIVERSITY (nih funded) |
| Locations | 1 site (CLEMSON, UNITED STATES) |
| Trial ID | NIH-10912635 on ClinicalTrials.gov |
What this research studies
This research focuses on creating sophisticated computational models that simulate various aspects of the human body to evaluate new medical interventions and devices. By integrating artificial intelligence and machine learning, the project aims to analyze large datasets to enhance the accuracy of these models. The goal is to support researchers in understanding complex biological systems and improve musculoskeletal health through predictive modeling. Participants may benefit from insights gained from these models that could lead to better treatment options.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with musculoskeletal conditions who may benefit from innovative therapeutic approaches.
Not a fit: Patients with conditions unrelated to musculoskeletal health or those not residing in the research area may not receive benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatments and interventions for musculoskeletal health issues.
How similar studies have performed: Previous research has shown promise in using computational modeling and AI to improve healthcare outcomes, indicating a strong potential for success in this approach.
Where this research is happening
CLEMSON, UNITED STATES
- CLEMSON UNIVERSITY — CLEMSON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: YAO, HAI — CLEMSON UNIVERSITY
- Study coordinator: YAO, HAI
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.