Dr. Khan Iftekharuddin received a $2.3 million National Institutes of Health grant to develop AI that detects glioblastoma earlier and tracks recurrence.

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 ...

Share on Pinterest A new AI tool may help predict disease risk using brain MRI datasets. Image credit: Tunvarat Pruksachat/Getty Images The wellness of the brain plays an important role in living a ...

The researchers measured the variation in DNA methylation patterns to develop the method and applied it to multiple types of cancer.

Retrospective analysis of ctDNA results from real-world data was performed for 61 patients (233 plasma time points) diagnosed with early-stage UC. ctDNA status and dynamics were assessed using a ...

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 ...