“Fast-fail” AI blood test could steer patients with pancreatic cancer away from ineffective therapies

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

An artificial intelligence technique for detecting DNA fragments shed by tumors and circulating in a patient’s blood, developed by Johns Hopkins Kimmel Cancer Center investigators, could help clinicians more quickly identify and determine if pancreatic cancer therapies are working.

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

The long-awaited results from the RASolute 302 trial—a phase III clinical trial evaluating daraxonrasib, a RAS inhibitor, for the treatment of patients with previously treated, metastatic pancreatic ductal adenocarcinoma—have been read out. 
Patients with pancreatic cancer who received the experimental drug elraglusib, alongside standard chemotherapy, were twice as likely to be alive after one year of treatment, compared to those receiving chemotherapy alone, according to the results of a randomized phase II clinical trial conducted by researchers at Northwestern University. The drug also reduced the risk of death by 38%.

Never miss an issue!

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

Login