Using advanced computer methods to understand the microbiome's genetic and physical traits
Biology-aware machine learning methods for characterizing microbiome genotype and phenotype
This study is working on new ways to look at the tiny organisms in our bodies, called the microbiome, to better understand how they affect our health and could help create more personalized treatments for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Diego NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project ID | NIH-10917385 on NIH RePORTER |
What this research studies
This research focuses on developing innovative computational methods to analyze the microbiome, which is the collection of microorganisms living in our bodies. By reconstructing evolutionary histories of these organisms, the research aims to identify what species are present in various samples and how they differ from one another. The methods being developed will enhance our understanding of the microbiome's role in health and disease, potentially leading to better diagnostic and therapeutic strategies. Patients may benefit from improved microbiome profiling techniques that could inform personalized treatment options.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with conditions that may be influenced by their microbiome, such as gastrointestinal disorders or autoimmune diseases.
Not a fit: Patients who do not have microbiome-related health issues may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate microbiome analyses, helping to tailor treatments based on individual microbiome profiles.
How similar studies have performed: Other research has shown success in using computational methods for microbiome analysis, indicating that this approach is promising and not entirely novel.
Where this research is happening
La Jolla, United States
- University of California, San Diego — La Jolla, United States (Active)
Researchers
- Principal investigator: Mir Arabbaygi, Siavash — University of California, San Diego
- Study coordinator: Mir Arabbaygi, Siavash
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 below.