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 ...

In a recent study published in The Lancet Digital Health, researchers discuss the development and validation of a combined model comprising imaging, clinical, and cell-free deoxyribonucleic acid (DNA) ...

A new study led by researchers at Wake Forest University School of Medicine, in collaboration with the University of North ...

Sample images from the lung CT scan dataset showing COVID-19-positive (left) and COVID-negative (right) scans. (Courtesy: Mach. Learn.: Sci. Technol. 10.1088/2632-2153/abf22c) A new deep-learning ...

Researchers have developed a deep learning model that, in certain conditions, is more than 71 percent accurate in predicting survival expectancy of lung cancer patients, significantly better than ...

Colour-coded histologic patterns identified by pathologists (left) and the researchers' deep-learning model (right). (Courtesy: Hassanpour Lab, Dartmouth's Norris Cotton Cancer Center) Members of the ...

Wendy Brooks, a survivor of extensive-stage small cell lung cancer, and her husband and care partner, Larry Brooks, spoke ...