Methods We conducted a cost-effectiveness analysis in the Yorkshire Lung Screening Trial (YLST) population comparing three ...

For every 10 scans containing an abnormality, a radiologist is likely to miss three of them. This is a problem because ...

A new study suggests that a blood-based protein signature may help identify people at risk of lung cancer more accurately ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Non-small cell lung cancer is ...

A model based on proteins vs. a questionnaire had higher discrimination in predicting lung cancer risk in individuals with a smoking history, according to data presented at the American Thoracic ...

Scientists have identified proteins that could signal increased lung cancer risk, as well as a drug that could reduce the odds of a tumor developing. By Nina Agrawal Scientists have made a discovery ...

At 69, Melinda McKnight is as busy as ever. In the past year, she has organized several fundraising events around her hometown of Rison, Arkansas, and purchased Christmas presents for more than 100 ...

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...

Pigeons are inspiring a new wave of AI for medical diagnostics. Researchers are studying how these birds process visual ...

Ivonescimab's landmark overall survival win against PD-1 in their chemotherapy combinations in first-line lung cancer drew both hope and criticism at ASCO 2026. (Angus Liu/Fierce Pharma) It’s the ...

Every year, about 85,000 Americans are diagnosed with bladder cancer. While treatment is often successful, bladder cancer has one of the highest rates of recurrence of any cancer: Following treatment, ...