Lung cancer remains one of the malignancies with the highest incidence and mortality worldwide. Clinical practice has long been plagued by core dilemmas, including insufficient sensitivity in early ...

We combined natural language processing and large language models with state-of-the-art machine learning techniques and approaches to treat unbalanced data sets and determine the best solution to ...

Data presented at the 2026 AACR Annual Meeting demonstrated the promise of blood-based lung cancer detection via SimpleScreen Lung. Developers designed SimpleScreen Lung as an artificial intelligence ...

AI-assisted spirometry, imaging biomarkers, and population screening strategies highlighted early detection and prevention as a throughline at the ERS Congress. Artificial intelligence–supported ...