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

An area of great hope and promise for applied artificial intelligence (AI) deep learning is at the intersection of neuroscience and oncology, both challenging fields known for their inherent ...

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 ...

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 ...

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 ...