Accurate Lung cancer (LC) identification is a big medical problem in the AI-based healthcare systems. Various deep learning-based methods have been proposed for Lung cancer diagnosis. In this study, ...

Lung cancer is the leading cause of cancer-related mortality worldwide. Lately, electronic nose (e-nose) systems have emerged as a promising method for non-invasive lung cancer detection. These ...

In a recent opinion piece published in the journal Trends in Cancer, researchers examined the rising global burden of lung cancer in people with no history of smoking. This phenomenon requires its own ...

All study participants simultaneously underwent NGS using three sample types: (1) BWF, (2) plasma, and (3) tumor tissue collected during bronchoscopy. The full patient set (FPS) included all enrolled ...

CAT scans detecting cancer is nothing new. But now, doctors are using artificial intelligence to spot cancer even sooner.“I'm here three years later because I did find out and because I did finally ...

New artificial intelligence technology is helping diagnose the U.S.’s most deadly cancer sooner, greatly improving the chances of patients’ survival. The key? Detecting tiny lung nodules when doctors ...

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

A new light-based sensor can spot incredibly tiny amounts of cancer biomarkers in blood, raising the possibility of earlier and simpler cancer detection. The technology merges DNA nanotechnology, ...