Research published in PeerJ details a deep learning system for detecting Chronic Obstructive Pulmonary Disease (COPD) by analyzing audio recordings of lung sounds, offering a high-sensitivity alternative to traditional diagnostics. The model, which could be integrated into smart devices for early monitoring, achieves high sensitivity for screening purposes. Read the full article at PeerJ.