Study assesses advancing racial equity in cancer care through multimodal AI

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

Artera, the developer of multimodal artificial intelligence-based prognostic and predictive cancer tests, announced the publication of a validation study in the JCO Clinical Cancer Informatics on Artera’s MMAI model. 

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

In a poignant keynote punctuated with anecdotes about grief, American Society of Clinical Oncology’s immediate past president Eric Small emphasized that the annual conference is not just about scientific discovery, but about a responsibility to translate discoveries into better outcomes for cancer patients globally. 
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