Identification of Lung Cancer Breath Biomarkers using Infrared Cavity Ring-Down Spectroscopy

Nearly 80% of lung cancer cases are discovered when the disease has already metastasized and survival rates are significantly reduced. Screening is critical to catch the disease in its early, treatable stages. In this study, we consider a screening system based on cavity ring-down spectroscopy (CRDS) analysis of exhaled breath samples. We use machine learning to identify potential biomarkers and develop a classification system for differentiating lung cancer and non-lung cancer individuals.