The Cancer Letter

Inside information on cancer research and drug development

Clinical Roundup

Stanford study: AI outperforms standard of care in prostate cancer identification

Share on facebook
Share on twitter
Share on linkedin
Share on email
Share on print
BYLINE
IN THIS ISSUE
DOWNLOAD PDFTABLE OF CONTENTS

Led by Stanford University School of Medicine’s Department of Urology, researchers found that Avenda Health’s machine learning model, Unfold AI, and novel cancer probability metric was shown to be accurate and effective in identifying the extent of the cancer, not just location. 

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

Clinical Roundup

Model created by Cedars-Sinai investigators could speed patient selection for clinical trials

A group of investigators led by Cedars-Sinai have developed and successfully tested a new artificial intelligence method to make launching cancer clinical trials easier and faster. The method uses patients’ pathology reports to automate the classification of patients by the severity of their cancers, potentially shortening the process of selecting candidates for clinical trials.
Table of Contents

Never miss an issue!

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

Login

Site license subscribers:
Log in with your IP | Register a sponsored account