Using machine learning to improve treatment strategies for rheumatoid arthritis

Bridging clinical trial and real-world data via machine learning to advance rheumatoid arthritis treatment strategies

NIH-funded research Brigham and Women's Hospital · NIH-10868557

This study is looking at how smart computer technology can help doctors find the best treatment plans for people with rheumatoid arthritis by using information from past clinical trials and real patient records, so that each person can get care that works best for them.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionBrigham and Women's Hospital NIH-funded
Lab location1 site (Boston, United States)
Project IDNIH-10868557 on NIH RePORTER

What this research studies

This research investigates how machine learning can enhance treatment strategies for rheumatoid arthritis (RA) by combining data from clinical trials and real-world patient records. It aims to analyze existing treatment options and their effectiveness by utilizing electronic health records alongside data from a previous clinical trial. By applying advanced machine learning techniques, the study seeks to identify which patients respond best to specific treatments, ultimately aiming to personalize therapy for better outcomes. Patients with RA may benefit from more tailored treatment plans based on their individual responses to therapies.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals diagnosed with rheumatoid arthritis who have undergone various treatment regimens.

Not a fit: Patients with rheumatoid arthritis who are not receiving treatment or are in the early stages of the disease may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more effective and personalized treatment strategies for patients with rheumatoid arthritis.

How similar studies have performed: Previous research has shown promise in using real-world data to inform treatment strategies, suggesting that this approach could yield valuable insights.

Where this research is happening

Boston, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions DiseaseDisorder
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.