Spatial-biology tools are collecting more comprehensive data, and companies that want to model cells in silico are hoovering ...

Lung cancer diagnosis relies heavily on interpreting complex computed tomography (CT) images, where accuracy can vary ...

As large medical imaging datasets become widely available, researchers are increasingly turning to artificial intelligence to ...

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, making early and accurate diagnosis essential for improving patient outcomes.

A team led by Cedars-Sinai Health Sciences University investigators has created a faster, cheaper way to determine the genes ...

Electronic health records and medical imaging data have benefited from the rapid adoption of artificial intelligence (AI) ...