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 immune ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

The researchers developed an AI model to design peptides (short proteins) that are targeted by enzymes called proteases, ...

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 research ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the University of Michigan, could help doctors discover which treatment strategies ...