AI-based liquid biopsy may detect liver fibrosis, cirrhosis, and broader chronic disease signals, Johns Hopkins researchers find

Share on facebook
Share on twitter
Share on linkedin
Share on email
Share on print

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence-based liquid biopsy test using genome-wide cell-free DNA fragmentation patterns and repeat landscapes can detect early liver fibrosis and cirrhosis, and may also reveal signals of broader chronic disease burden.

To access this subscriber-only content please log in or subscribe.

If your institution has a site license, log in with IP-login or register for a sponsored account.*
*Not all site licenses are enrolled in sponsored accounts.

Login Subscribe
Table of Contents

YOU MAY BE INTERESTED IN

Jason Chiang and Kyung Sung of the Department of Radiological Sciences at the David Geffen School of Medicine at UCLA and the UCLA Health Jonsson Comprehensive Cancer Center have received a $3.2 million, five-year grant from NCI to develop an artificial intelligence-enhanced imaging platform designed to improve yttrium-90 (Y90) radioembolization planning for patients with liver cancer.

Never miss an issue!

Get alerts for our award-winning coverage in your inbox.

Login