Understanding and managing postoperative pain better.
Robust Computational and Data Analytic Tools for In-depth Understanding Postoperative Pain Mechanism with Enhanced Pain Management and Clinical Decision Making
This study is looking at new ways to understand and manage pain after surgery, so that patients can get more personalized care and feel better during their recovery.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of North Carolina Chapel Hill NIH-funded |
| Lab location | 1 site (Chapel Hill, United States) |
| Project ID | NIH-10773526 on NIH RePORTER |
What this research studies
This research focuses on developing advanced computational and data analytic tools to gain a deeper understanding of the mechanisms behind postoperative pain. By analyzing various data sources and employing sophisticated models, the project aims to enhance pain management strategies and improve clinical decision-making for patients recovering from surgery. Patients may benefit from more personalized pain management approaches based on their unique pain profiles and responses to analgesic treatments.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals who are scheduled for surgical procedures and may experience postoperative pain.
Not a fit: Patients who are not undergoing surgery or those with chronic pain unrelated to surgical procedures may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective pain management strategies for patients after surgery.
How similar studies have performed: Previous research has shown promise in using computational tools to analyze pain mechanisms, indicating that this approach could yield significant insights.
Where this research is happening
Chapel Hill, United States
- Univ of North Carolina Chapel Hill — Chapel Hill, United States (Active)
Researchers
- Principal investigator: Zou, Baiming — Univ of North Carolina Chapel Hill
- Study coordinator: Zou, Baiming
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.