Additionally, the detection of methylation patterns in circulating tumor DNA using next-generation sequencing methods could be used to non-invasively screen for lung cancer.

A promising new study has identified a highly accurate, non-invasive method to diagnose non-small cell lung cancer (NSCLC) ...

Aspyre Lung is a targeted biomarker panel of 114 genomic variants across 11 guideline-recommended genes with simultaneous DNA and RNA for non–small cell lung cancer (NSCLC). In this study, we ...

A machine learning model used three predictors - age, smoking duration and pack-years - to calculate people's odds of both developing lung cancer and dying of lung cancer over the next five years.

e20025Background: Lung cancer remains a leading cause of cancer-related mortality worldwide. Early detection significantly improves survival rates. In our previous study, we developed a machine ...

KUALA LUMPUR: Doctors here have announced the successful diagnosis and treatment of Malaysia’s first lung cancer case detected using artificial intelligence (AI).

The study demonstrates that machine learning can achieve high performance on a challenging image classification task and has the potential to greatly assist pathologists in lung cancer classification.

Using AI to Detect Cancer, Not Just Cats Neural networks are great at recognizing faces and objects in photos. Now they're being deployed to similarly identify signs of disease and illness.