# Imaging signatures of early tuberculosis

> **NIH NIH R01** · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · 2024 · $682,110

## Abstract

ABSTRACT
Early detection of tuberculosis (TB) disease to prevent transmission and disability is hampered
by the lack of precise biomarkers to diagnose and predict TB progression. The objective of this
study is to develop computational imaging tools to characterize and diagnose individuals
without TB symptoms who will progress to sputum culture-positive or symptomatic TB disease.
In Aim 1, we will combine computed tomography (CT) scans from existing and prospective TB
household contact studies to derive a high-resolution radiomic signature to predict and
characterize early disease pathology. In Aim 2, we will evaluate methods to enhance
performance of field-deployable chest-X-ray computer aided detection (CAD) systems to
diagnose early TB using transfer learning, image-to-image training, and integration of clinical
and epidemiologic variables. Our goal is to develop a fundamental toolbox for research,
diagnosis, and targeted preventive treatment of early TB to prevent transmission and
accelerate TB control.

## Key facts

- **NIH application ID:** 10804028
- **Project number:** 1R01AI175555-01A1
- **Recipient organization:** RUTGERS BIOMEDICAL AND HEALTH SCIENCES
- **Principal Investigator:** Yingda Linda Xie
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $682,110
- **Award type:** 1
- **Project period:** 2023-11-09 → 2028-10-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10804028

## Citation

> US National Institutes of Health, RePORTER application 10804028, Imaging signatures of early tuberculosis (1R01AI175555-01A1). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10804028. Licensed CC0.

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