Developing an innovative lung cancer detection model for accurate diagnosis in AI healthcare systems
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 ...
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 ...
More than 150 lung cancer researchers, clinicians and patient advocates from around the country gathered at Fred Hutch last ...
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 ...
A new study suggests that a blood-based protein signature may help identify people at risk of lung cancer more accurately ...
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 ...
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, ...
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