Using machine learning to improve mindfulness treatment for chronic low back pain

Who could benefit from this research

What this research studies

This research investigates how machine learning can help predict which patients will benefit from mindfulness-based stress reduction (MBSR) for chronic low back pain (cLBP). By collecting comprehensive data on various factors such as sleep patterns, heart rate variability, and mental health, the study aims to identify key indicators that influence treatment outcomes. The research will involve a clinical trial with a diverse group of patients suffering from cLBP, aiming to enhance personalized treatment approaches. Ultimately, this approach seeks to improve pain management strategies and outcomes for individuals with chronic pain.

Why it matters

Where this research is happening

• Worcester Polytechnic Institute
  Worcester, United States Active

Researchers

• Principal investigator: King, Jean a — Worcester Polytechnic Institute
• Study coordinator: King, Jean a

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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.