Identification of Multiple Pulmonary Diseases Using Volatile Organic Compounds Biomarkers in Human Exhaled Breath

RECRUITING

NCT06528418

Sponsor: ChromX Health

Summary

The goal of this observational study is to develop an advanced expiratory algorithm model utilizing exhaled breath volatile organic compound (VOC) marker molecules. This model aims to accurately diagnose mutiple pulmonary diseases. The primary objectives it strives to accomplish are: 1. To assess the diagnostic accuracy of an exhaled breath VOC-assisted diagnostic artificial intelligence (AI) model in diagnose several common pulmonary diseases. 2. To assess the diagnostic accuracy of an exhaled breath VOC-assisted diagnostic artificial intelligence (AI) model in diagnose more pulmonary diseases.

Official title: Exploration and Study on the Identification of Various Pulmonary Diseases Using Volatile Organic Compounds Biomarkers in Human Exhaled Breath

Key Details

Gender

All

Age Range

18 Years - 100 Years

Study Type

OBSERVATIONAL

Enrollment

10000

Start Date

2024-06-30

Completion Date

2027-06-30

Last Updated

2025-03-26

Healthy Volunteers

Yes

Conditions

Lung Cancer Lung Infection COPD Bronchitis Pulmonary Fibrosis Pulmonary Embolism Pulmonary Arterial Hypertension Pulmonary Tuberculosis Pulmonary Abscess Emphysema Lung Injury Cystic Fibrosis of the Lung Bronchial Asthma Bronchiectasis Interstitial Lung Disease Preserved Ratio Impaired Spirometry

Interventions

OTHER

Gas chromatography-mass spectrometry(GC-MS) and micro Gas Chromatography-photoionisation detector (μGC-PID) system

Exhaled breath samples from these participants will be collected and analyzed to detect volatile organic compound molecules in human exhaled breath by GC-MS and μGC-PID

Locations (1)

The First Affiliated Hospital of Guangzhou Medical University

Guangzhou, Guangdong, China

Clinical Research Directory