A technology has been developed that can screen for lung cancer at an early stage using exhaled breath. This technology demonstrated 95% accuracy in clinical settings. It is expected to contribute to ...

OAK BROOK, Ill. – An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive ...

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

From local pixels to global patterns: Vision transformer–based modeling for lung cancer classification on computed tomography. Multi-cohort validation of a semaphorin prognostic signature to identify ...

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

Lung cancer symptoms are often non-specific, leading to late detection and misattribution to less severe conditions. The GO2 for Lung Cancer provides resources, policy advocacy, and access to clinical ...

A Chinese research team has developed the world's first blood-based diagnostic kit that can tell whether lung nodules are benign or cancerous, including very small nodules that are often difficult to ...

Lung cancer is one of the major causes of cancer-related fatalities in the global society, particularly due to its late diagnosis in most cases. Early diagnosis has great benefits in terms of survival ...