Developing imaging tools to detect early tuberculosis
Official title: Imaging signatures of early tuberculosis
Funded at Rutgers Biomedical and Health Sciences · NIH-10983768 · Data updated 2026-11-12
This study is working on new ways to spot tuberculosis early by using advanced imaging techniques like CT scans and chest X-rays, along with smart computer technology, to help identify people who might develop symptoms in the future, even if they feel fine now.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Rutgers Biomedical and Health Sciences NIH-funded |
| Lab location | 1 site (Newark, UNITED STATES) |
| Project start | November 9, 2023 |
| Project end | October 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $642,787 |
| NIH project number | 5R01AI175555-02 |
| Project ID | NIH-10983768 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals who have been in close contact with TB patients but do not currently exhibit symptoms of the disease.
✕Less likely to help
Patients who are already diagnosed with active tuberculosis or those who have no history of TB exposure may not benefit from this research.
What this research studies
This research aims to improve the early detection of tuberculosis (TB) by creating advanced imaging tools that can identify individuals at risk of developing symptomatic TB, even if they currently show no symptoms. The project will utilize computed tomography (CT) scans and chest X-rays, applying artificial intelligence and machine learning techniques to analyze imaging data and enhance diagnostic accuracy. By combining existing data with new scans, the researchers hope to establish reliable biomarkers that can predict TB progression and facilitate timely intervention.
Why it matters
Potential benefit: If successful, this research could lead to earlier diagnosis and treatment of tuberculosis, significantly reducing transmission rates and improving patient outcomes.
How similar studies have gone: Previous research has shown promise in using imaging and AI for disease detection, indicating that this approach could yield significant advancements in TB diagnosis.
Where this research is happening
-
Rutgers Biomedical and Health Sciences
Newark, United States Active
Researchers
- Principal investigator: Xie, Yingda Linda — Rutgers Biomedical and Health Sciences
- Study coordinator: Xie, Yingda Linda
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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.