A new liquid biopsy approach developed by Johns Hopkins Kimmel Cancer Center investigators could revolutionize brain cancer detection by identifying circulating DNA fragments from tumors and ...

A unique combination of explainable AI and repurposing animal camouflage detection algorithms can identify human brain cancer.

Researchers have developed an AI powered model that -- in 10 seconds -- can determine during surgery if any part of a cancerous brain tumor that could be removed remains.The technology, called ...

Using these complex patterns from individuals with and without cancer, the researchers taught a machine learning model to identify molecular signatures associated with the four types of cancer.

The artificial intelligence method was used to optimize an early cancer detection test to ensure high sensitivity and specificity.

A novel tool for rapidly identifying the genetic "fingerprints" of cancer cells may enable future surgeons to more accurately remove brain tumors while a patient is in the operating room, new ...

Kate Walsh opens up about how she's been affected by cancer throughout her life, including being diagnosed with a brain tumor. She also shares an exciting new technology that is helping people ...