Flexible Bayesian methods to understand gut microbes and their impact on health
Official title: Flexible Bayesian methods for zero-inflated microbiome data to understand microbial community dynamics and function
Funded at Colorado State University · NIH-11425730 · Data updated 2026-11-12
A mathematical approach is being developed to analyze microbiome data so doctors and patients can better understand how microbes affect health and disease.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Colorado State University NIH-funded |
| Lab location | 1 site (Fort Collins, United States) |
| Project start | September 1, 2026 |
| Project end | August 31, 2031 |
| Funding year | 2026 |
| Award (this year) | $376,615 |
| NIH project number | 1R35GM165963-01 |
| Project ID | NIH-11425730 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients whose health may be linked to the microbiome (e.g., digestive or metabolic conditions) could be part of future translational work or benefit from improved diagnostics.
✕Less likely to help
This grant focuses on method development and data analysis; direct clinical benefit may take time and depends on future applications.
What this research studies
This project creates new Bayesian tools to make sense of complex microbiome data and reveal how microbial communities form, stay stable, and influence health. The methods will handle large datasets from biology and health apps, aiming to turn messy data into clear patterns. The goal is to support personalized medicine by enabling more reliable microbiome-based diagnostics, therapies, and prevention strategies.
Why it matters
Potential benefit: If successful, patients could benefit from more accurate microbiome-based diagnoses and personalized treatment approaches guided by robust data analyses.
How similar studies have gone: Prior work shows that advanced Bayesian methods can improve interpretation of complex microbiome data, but there is still much to validate in human health contexts.
Where this research is happening
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Colorado State University
Fort Collins, United States Active
Researchers
- Principal investigator: Koslovsky, Matthew David — Colorado State University
- Study coordinator: Koslovsky, Matthew David
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.