New AI-powered tools for single-cell omics data
Official title: Novel Computational and Statistical Methods for Single-cell Omics Data
Funded at New Jersey Institute of Technology · NIH-11378084 · Data updated 2026-11-12
A research team will build user-friendly AI and statistical tools to analyze single-cell genomics data from diverse experiments to help biomedical researchers understand cell behavior.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New Jersey Institute of Technology NIH-funded |
| Lab location | 1 site (Newark, United States) |
| Project start | August 1, 2025 |
| Project end | May 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $376,250 |
| NIH project number | 5R35GM158529-02 |
| Project ID | NIH-11378084 on NIH RePORTER |
Who could benefit from this research
✓Could help
Not applicable to directly enrolled patients; the grant develops tools used by researchers studying human diseases.
✕Less likely to help
Direct patient participation is not described; the work is tool-development for researchers.
What this research studies
This project creates scalable AI and machine learning methods to process single-cell omics data (RNA, epigenomics) and related barcoded designs. The work emphasizes turning complex analyses into usable software packages that researchers can apply across studies. By focusing on integration of large single-cell datasets and new barcoding approaches, the team aims to reveal cell types and states with greater clarity. The effort combines computer science, statistics, and biology to translate advances into practical tools for biomedical research.
Why it matters
Potential benefit: If successful, patients could benefit from faster and more accurate insights from single-cell studies that inform disease mechanisms and treatment strategies.
How similar studies have gone: Previous advances in single-cell analysis show promise; this project aims to scale and generalize those methods.
Where this research is happening
-
New Jersey Institute of Technology
Newark, United States Active
Researchers
- Principal investigator: Wei, Zhi — New Jersey Institute of Technology
- Study coordinator: Wei, Zhi
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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.