Large language models (LLM) can generate treatment recommendations for straightforward cases of hepatocellular carcinoma (HCC ...

A whole-genome sequencing approach shows early promise over current commercial methods for identifying more patients likely ...

We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines ...

To make cancer care smoother and more effective, the Alliance for Clinical Trials in Oncology has introduced a new clinical ...

Categorizing patients with cancer by their disease stage can be an important tool when conducting administrative claims-based studies. As claims databases frequently do not capture this information, ...

Researchers have developed and validated a deep learning algorithm that can identify and outline ('segment') a non-small cell lung cancer (NSCLC) tumor on a computed tomography (CT) scan within ...

Researchers have created a new tool to predict how cancer is likely to behave based on the science behind Netflix's algorithm. Shutterstock Just like a list of personalized TV shows and movies ...

St. Louis-based Mercy named its artificial intelligence cancer treatment algorithm after Jiajing Chen, a data scientist who helped develop the algorithm and died from cancer in January, St. Louis ...

Gregg is professor of neurobiology and human genetics at the University of Utah. In 2018, I waited until after Christmas to inform my 10- and 12-year-old children that I had metastatic male breast ...

When cancer spreads, tiny amounts of cells can break away from tumors and circulate in the bloodstream. A liquid biopsy is a means to detect the presence of cancer by detecting these cancer cells ...