Developing advanced methods to analyze complex immune data
Official title: Tensor decomposition methods for multi-omics immunology data analysis
Funded at Yale University · NIH-10900715 · Data updated 2026-11-12
This study is working on new ways to look at immune system data to help us understand how our bodies respond to vaccines and infections, which could lead to better treatments for patients like you.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | August 7, 2023 |
| Project end | July 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $203,672 |
| NIH project number | 5R21AI176204-02 |
| Project ID | NIH-10900715 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals undergoing immunological assessments or treatments related to infections or vaccinations.
✕Less likely to help
Patients with stable, non-immune related conditions may not receive direct benefits from this research.
What this research studies
This research focuses on creating new algorithms to analyze complex immune profiling data that includes multiple dimensions such as time and tissue types. By using tensor decomposition methods, the project aims to better understand variations in immune responses related to vaccinations and infections. This approach allows for a more nuanced analysis of data compared to traditional methods, which struggle with the increasing complexity of multi-omic studies. Patients may benefit from improved insights into immune responses, potentially leading to better-targeted therapies and interventions.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatments and interventions for immune-related conditions by providing deeper insights into immune responses.
How similar studies have gone: While tensor decomposition methods are actively researched in mathematics, their application to immune profiling is relatively novel and has not been extensively tested in clinical settings.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Kleinstein, Steven H. — Yale University
- Study coordinator: Kleinstein, Steven H.
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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.