Medical Xpress September 30, 2024
Johns Hopkins University School of Medicine

A blood test that uses artificial intelligence (AI) to detect cancer-related genetic changes and protein biomarkers could help screen women for early signs of ovarian cancer, according to a study by researchers at the Johns Hopkins Kimmel Cancer Center in collaboration with several other institutions in the United States and Europe.

The study, published Sept. 30 in the journal Cancer Discovery used AI-powered analyses of DNA fragments and two to identify women with .

The two protein biomarkers, called cancer antigen 125 (CA-125) and human epididymis protein 4 (HE4), were previously identified as ovarian cancer biomarkers but, on their own, could not reliably detect ovarian cancer. However, combining these biomarkers with AI-driven detection of cancer-associated patterns of...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Biotechnology, Pharma / Biotech, Technology
Microsoft’s 10 new AI agents strengthen its enterprise automation lead
Learning the Language of Life with A.I.
How Payers are Using AI to Deny Claims and Dent Provider Revenue
4 Issues That Fall Between The Cracks Of Our AI Excitement
Generative AI Is Helping To Clear Up Brain Fog

Share This Article