Researchers discuss the development and validation of a combined model for the early diagnosis of lung cancer.

Researchers in China combine breath tests, mass spectrometry and a support vector machine to detect 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 ...

Using a new technology, diagnosing lung cancer could become as easy as inhaling a sensor and then taking a urine test that reveals whether a tumor is present.

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

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.

Early candidate nasal swab classifiers developed using machine learning and whole transcriptome sequencing may improve early lung cancer detection.

Researchers say findings provide compelling evidence underscoring the potential of electric-field molecular fingerprinting for minimally invasive disease detection.