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.

Machine learning models to identify the simplest way to screen for lung cancer have been developed by researchers from UCL and the University of Cambridge, bringing personalized screening one step ...

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 ...

This study employs the concept of liquid biopsy, utilizing next-generation sequencing (NGS) to gather miRNA profiles, aiming to construct a machine learning-driven model for the detection of lung ...

Scientists trained a machine-learning algorithm to predict accurately brain metastasis using biopsy samples from early-stage non-small cell lung cancer patients.

In a proof-of-concept study, the team used machine learning to analyze blood plasma from more than 2,000 participants and link molecular patterns to lung cancer, extrapolating a potential ...

Because lungs are deep within the body and can’t easily be seen or felt, conventional early detection methods are less effective with lung cancer than with other types.

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.