UniBrain: A Unified Toolset for Brain Imaging Analysis
Official title: UniBrain: An End-to-End Unified Toolkit for Comprehensive Neuroimaging Analysis
Funded at Lehigh University · NIH-11277401 · Data updated 2026-11-12
A cutting-edge AI toolkit helps doctors and researchers turn brain scans into clear, usable graphs to support brain health decisions.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Lehigh University NIH-funded |
| Lab location | 1 site (Bethlehem, United States) |
| Project start | September 3, 2026 |
| Project end | July 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $818,259 |
| NIH project number | 1R01EB038426-01 |
| Project ID | NIH-11277401 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients whose brain imaging data are used for clinical research or who may benefit from improved imaging analyses.
✕Less likely to help
Patients whose data are not included in validation datasets or whose conditions are not represented in the study may not directly benefit.
What this research studies
UniBrain is an all-in-one deep learning platform designed to process different brain imaging data from start to finish. It aims to create reliable brain graphs from raw scans and make the workflow easier to adopt in clinical settings. The project will validate the toolkit across diverse clinical datasets to ensure it works well in real-world care. It focuses on interpretability, integration, and seamless use by clinicians and researchers.
Why it matters
Potential benefit: If successful, UniBrain could speed up and improve brain imaging analyses, supporting better diagnosis and treatment planning.
How similar studies have gone: Similar AI-driven imaging tools exist, but this project emphasizes an end-to-end, interpretable framework with broad modality support.
Where this research is happening
-
Lehigh University
Bethlehem, United States Active
Researchers
- Principal investigator: He, Lifang — Lehigh University
- Study coordinator: He, Lifang
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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.