View clinical trials related to Bronchial Neoplasms.
Filter by:To estimate parameters related to clinical outcomes in a real-world seeting, including investigator reported PFS and OS.
This observational, cross-sectional study in lung cancer patients and lung cancer-free controls aims to develop a machine learning model for early detection of LC based on routine, widely accessible and minimally invasive clinical investigations. The model with adequate predictive performance could later be used in clinical practice as an aid in defining the optimal population and timing for lung cancer screening program.