UCSF REACH: smarter understanding of chronic low back pain using big data and models

Who could benefit from this research

What this research studies

REACH creates a rich, patient-focused resource by combining large observational cohorts, deep imaging, biospecimens, and biomechanical data to understand chronic low back pain. The project will turn a complex theory into a computable model and test it against patient data from multiple sources, with an emphasis on practical, testable classifications. This work relies on advanced data integration and pilot awards to apply the model to real-world patient care within the INTERACT network.

Why it matters

Where this research is happening

• University of California, San Francisco
  San Francisco, United States Active

Researchers

• Principal investigator: Lotz, Jeffrey C. — University of California, San Francisco
• Study coordinator: Lotz, Jeffrey C.

Related research

Other NIH-funded projects on the same topics.

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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.