Understanding and managing postoperative pain better.
Official title: Robust Computational and Data Analytic Tools for In-depth Understanding Postoperative Pain Mechanism with Enhanced Pain Management and Clinical Decision Making
Funded at Univ of North Carolina Chapel Hill · NIH-10773526 · Data updated 2026-11-12
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 start | September 13, 2024 |
| Project end | August 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $488,419 |
| NIH project number | 1R01LM014407-01 |
| Project ID | NIH-10773526 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals who are scheduled for surgical procedures and may experience postoperative pain.
✕Less likely to help
Patients who are not undergoing surgery or those with chronic pain unrelated to surgical procedures may not benefit from this research.
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.
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 gone: 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
-
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
Related research
Other NIH-funded projects on the same topics.
-
Better Predicting and Personalizing Postoperative Pain Care
Aimed at using advanced data tools to better predict and manage a patient’s pain after surgery and reduce opioid-related risks.
-
Better prediction and personalized control of pain after surgery
This project builds computer tools to predict who will have bad pain after surgery and help doctors tailor pain control for patients recovering from operations.
-
Using virtual reality and biofeedback to manage pain after surgery in kids
This study is exploring a fun new way to help kids and teens feel better after surgery by using virtual reality and biofeedback, so they can manage their pain on their own and recover more comfortably.
-
Using advanced computer tools to improve pain management after surgery
This study is looking at how to make pain relief after surgery better by using smart computer tools to understand patient records, so we can find out who might need different kinds of pain management to feel their best while they recover.
-
Understanding how octopuses integrate sensory information and make decisions
This study is exploring how octopuses use their arms to grip things by looking closely at their nervous system and movements, which could help us understand their amazing abilities better.
-
NoviGuide for Newborn Care in Pakistan
A small NIH grant to test a pocket-sized decision support tool for nurses and doctors to improve newborn care in Pakistan.
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.