Improving Rheumatoid Arthritis Treatment with Data Science
Bridging clinical trial and real-world data via machine learning to advance rheumatoid arthritis treatment strategies
This project uses advanced computer methods to combine information from past clinical trials and everyday patient records to help doctors find the best treatments for rheumatoid arthritis.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11125898 on NIH RePORTER |
What this research studies
For patients with rheumatoid arthritis, finding the right treatment often involves a trial-and-error approach after initial medications. This project aims to make that process more efficient by using machine learning to analyze large amounts of existing patient data. By linking detailed information from a major clinical trial with broader real-world health records, researchers hope to uncover patterns that predict which treatments work best for different groups of patients. This approach could help doctors make more informed decisions, leading to better outcomes for individuals living with rheumatoid arthritis.
Who could benefit from this research
Good fit: This project primarily uses existing data from patients with rheumatoid arthritis who participated in past clinical trials or have electronic health records, rather than recruiting new participants.
Not a fit: Patients who do not have rheumatoid arthritis or whose data is not part of the analyzed datasets would not directly benefit from this specific research.
Why it matters
Potential benefit: If successful, this work could lead to more personalized and effective treatment plans for people with rheumatoid arthritis, reducing the time and frustration of finding the right medication.
How similar studies have performed: Combining clinical trial data with real-world data using machine learning is a growing field, with some early successes in other areas, but this specific application to rheumatoid arthritis treatment strategies is a novel approach.
Where this research is happening
Boston, United States
- Brigham and Women's Hospital — Boston, United States (Active)
Researchers
- Principal investigator: Liao, Katherine Phoenix — Brigham and Women's Hospital
- Study coordinator: Liao, Katherine Phoenix
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.