Molecular categorization of pediatric T-ALL using big data and AI
Official title: Molecular Categorization of T-Cell Acute Lymphoblastic Leukemia Based on Gabriella Miller Kids First Pediatric Research Data
Funded at University of Nebraska Medical Center · NIH-11442534 · Data updated 2026-11-12
A pediatric leukemia grant that uses AI and big data from kids’ research to classify T-ALL subtypes and guide future treatments.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Nebraska Medical Center NIH-funded |
| Lab location | 1 site (Omaha, United States) |
| Project start | September 1, 2026 |
| Project end | August 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $307,000 |
| NIH project number | 1R03CA317707-01 |
| Project ID | NIH-11442534 on NIH RePORTER |
Who could benefit from this research
✓Could help
Children diagnosed with T-ALL or related acute lymphoblastic leukemia subtypes.
✕Less likely to help
Patients with leukemia subtypes not included in the study or those not represented in the datasets may not benefit.
What this research studies
This project aims to combine single‑cell and bulk omics data (genomics, transcriptomics, epigenetics) from publicly available pediatric leukemia datasets to create AI-driven subtype categories for pediatric T-ALL. By integrating multiple data types, the program plans to improve accuracy beyond traditional methods and support more precise risk stratification. The work is designed to translate complex molecular information into clearer biomarkers that could inform future therapy choices for children with T-ALL.
Why it matters
Potential benefit: If successful, this approach could lead to faster, more accurate leukemia subtyping and help tailor treatments for children with T-ALL.
How similar studies have gone: Previous work shows promise in multi-omics integration for cancer subtype classification, but pediatric T-ALL subtype categorization with integrated data is emerging.
Where this research is happening
-
University of Nebraska Medical Center
Omaha, United States Active
Researchers
- Principal investigator: Wan, Shibiao — University of Nebraska Medical Center
- Study coordinator: Wan, Shibiao
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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.