Using machine learning to analyze gut microbes in inflammatory bowel disease.
Official title: Machine learning-based methods for the analysis of microbial glycomes and proteomes in inflammatory bowel disease.
Funded at Massachusetts General Hospital · NIH-10982483 · Data updated 2026-11-12
This study is looking at how the tiny microbes in your gut affect inflammatory bowel disease (IBD) by using smart computer techniques to better understand the proteins and sugars they produce, which could lead to better ways to diagnose and treat IBD for patients like you.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts General Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | January 4, 2023 |
| Project end | November 30, 2027 |
| Funding year | 2025 |
| Award (this year) | $169,560 |
| NIH project number | 5K08DK132516-03 |
| Project ID | NIH-10982483 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with inflammatory bowel disease, including conditions like Crohn's disease and ulcerative colitis.
✕Less likely to help
Patients without inflammatory bowel disease or those with unrelated gastrointestinal disorders may not benefit from this research.
What this research studies
This research focuses on understanding inflammatory bowel disease (IBD) by analyzing the gut microbiome, which is the collection of microbes living in the intestines. It employs advanced machine learning techniques to improve the identification of proteins and carbohydrates produced by these microbes, which play a crucial role in immune responses and inflammation. By overcoming the limitations of traditional methods, this research aims to provide deeper insights into how these microbial components affect IBD. Patients may benefit from improved diagnostic and therapeutic strategies based on these findings.
Why it matters
Potential benefit: If successful, this research could lead to better understanding and management of inflammatory bowel disease, potentially improving patient outcomes.
How similar studies have gone: Previous research has shown promise in using machine learning to analyze complex biological data, suggesting that this approach could yield valuable insights into IBD.
Where this research is happening
-
Massachusetts General Hospital
Boston, United States Active
Researchers
- Principal investigator: Tan, Xiao — Massachusetts General Hospital
- Study coordinator: Tan, Xiao
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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.