The application of deep learning techniques in lung nodule detection represents a significant advance in the early diagnosis and management of lung cancer. Recent developments have harnessed the power ...

Lung cancer used to have grim outcomes but earlier detection is improving those odds. A new combined procedure with diagnosis ...

The biopsy came back positive. It’s lung cancer.” Countless people in our community hear these words no one ever expects.

Novel Graph Neural Network (N-GNN) Model Achieves Superior Accuracy in Early Lung Cancer Detection, Paving the Way for Enhanced Diagnostic Capabilities. The research, a collaboration between BioMark's ...

Affinity Technologies (NASDAQ:BIAF) announced on March 10, 2026, the launch of a large longitudinal clinical study involving 2,000 patients to evaluate the performance of its CyPath® Lung technology ...

Survival outcomes in non-small cell lung cancer: Real-world analysis of immunotherapy era vs pre-immunotherapy era, with insights into treatment settings, racial disparities, and socioeconomic impacts ...

Subsequently, the Taiwan Early Detection Program for Lung Cancer, a national screening program launched in 2022, targeted two screening populations: individuals with a history of heavy smoking and ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.

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 ...