Measuring how metabolism works in the whole body using machine learning.
Official title: Whole-body-level metabolic flux quantitation by machine learning
Funded at University of California Los Angeles · NIH-11140279 · Data updated 2026-11-12
This study is looking at how our bodies process food and energy, especially in people with diabetes, to find better ways to treat metabolic disorders and create personalized treatment plans just for you.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project start | July 17, 2024 |
| Project end | April 30, 2026 |
| Funding year | 2025 |
| Award (this year) | $188,000 |
| NIH project number | 5R21AT012694-02 |
| Project ID | NIH-11140279 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals diagnosed with diabetes mellitus or metabolic syndrome.
✕Less likely to help
Patients with non-metabolic systemic diseases or those not affected by metabolic disorders may not receive any benefit from this research.
What this research studies
This research investigates the complex network of metabolic processes in the human body, particularly focusing on systemic diseases like diabetes. By utilizing machine learning and stable isotope tracing, the study aims to quantify metabolic fluxes, which are the rates at which metabolic pathways are utilized across different tissues and organs. This comprehensive approach will help researchers understand how metabolism functions on a whole-body level, potentially leading to better therapeutic interventions. Patients may benefit from insights gained through this research that could inform personalized treatment strategies for metabolic disorders.
Why it matters
Potential benefit: If successful, this research could lead to improved therapies for diabetes and other metabolic diseases by providing a clearer understanding of metabolic processes.
How similar studies have gone: Previous research has shown promise in using metabolic flux analysis for understanding metabolic diseases, indicating that this approach could yield valuable insights.
Where this research is happening
-
University of California Los Angeles
Los Angeles, United States Active
Researchers
- Principal investigator: Park, Junyoung O. — University of California Los Angeles
- Study coordinator: Park, Junyoung O.
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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.