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

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研究单位: [1]ChromX Health [2]The First Affiliated Hospital of Guangzhou Medical University,Guangzhou,Guangdong,China,510140 [3]First People's Hospital of Foshan [4]Sichuan Cancer Hospital and Research Institute

关键词: Pulmonary Disease Volatile Organic Compounds Human Exhaled Breath micro Gas Chromatography-photoionisation detector (μGC-PID) system

研究目的:
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.

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