Analyzing the complex interactions of microorganisms in our bodies
Official title: Probabilistic deep learning models and integrated biological experiments for analyzing dynamic and heterogeneous microbiomes
Funded at Brigham and Women's Hospital · NIH-10907420 · Data updated 2026-11-12
This study is looking at the tiny living things in our bodies that can affect our health, and it aims to find new ways to treat diseases using helpful bacteria, so patients can learn how their unique microbiomes might influence their well-being and discover new treatment options.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | September 1, 2023 |
| Project end | June 30, 2028 |
| Funding year | 2024 |
| Award (this year) | $447,500 |
| NIH project number | 5R35GM149270-02 |
| Project ID | NIH-10907420 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates include individuals with conditions related to microbiome disturbances, such as C. difficile infections or other gastrointestinal disorders.
✕Less likely to help
Patients with stable microbiomes and no related health issues may not receive direct benefits from this research.
What this research studies
This research focuses on understanding the dynamic and diverse microbiomes that inhabit our bodies, which play a crucial role in various diseases. By employing advanced computational techniques, the study aims to analyze large sets of microbiome data, including time-series and different biological measurements. The research also explores innovative therapies using live bacteria to treat diseases, alongside developing machine learning methods to predict health outcomes based on microbiome changes. Patients may benefit from insights into how their microbiomes affect their health and potential new treatment options.
Why it matters
Potential benefit: If successful, this research could lead to improved therapies for diseases linked to microbiome imbalances, enhancing patient health outcomes.
How similar studies have gone: Previous research has shown promise in using machine learning and microbiome analysis to improve treatment strategies, indicating a strong potential for success in this area.
Where this research is happening
-
Brigham and Women's Hospital
Boston, United States Active
Researchers
- Principal investigator: Gerber, Georg Kurt — Brigham and Women's Hospital
- Study coordinator: Gerber, Georg Kurt
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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.