B.A.R.T.: Biomarker Analysis for Respiratory Testing in Early Detection of Orodental Disease

Overview

Oral diseases affect nearly 3.7 billion people worldwide, making them one of the planet’s most widespread and neglected health burdens. Although largely preventable, these conditions often progress unnoticed due to late detection, and accessibility.  In my project, I am researching, developing, and pilot-testing a low-cost early-detection breath analysis device that screens for biomarker patterns most associated with cavities, gingivitis, halitosis, diabetes, and other oral or systemic health risks. I constructed BART, a low-cost, battery-powered wireless breath analyzer built on an ESP32-S3 microcontroller and five metal-oxide-semiconductor (MOS) gas sensors, with all analysis performed on a Raspberry Pi 5 hub. Through gain-offset calibration and environmental consideration, and time-series feature extraction and classification algorithms B.A.R.T generates a risk score supported by front-end display features and back-end data analysis/logging. B.A.R.T allows early detection, accessibly, and non-invasively, advancing breath biopsy. Frequent home-based self-screening can enable early identification of dental disease risks, thus facilitating timely interventions.

Awards (3)

• Young Scientist Award
• Silver Medal
• Selected for CWSF 2026

Competition history

• CWSF 2026 Health & Wellness

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