The Cancer Letter

The leading source for information on the issues that shape oncology since 1973

Guest Editorial

Health innovation and health equity: Ensuring technologies advance resilience, justice, and compassionate care

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

Technological innovations are often hailed as transformative tools capable of revolutionizing healthcare. From gene editing for conditions like sickle cell disease to AI predicting hospital readmissions, to telemedicine expanding healthcare access, these advancements have the potential to change the way we treat diseases. 

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
Byline
Jamillah Hoy-Rosas, MPH, RD, CDCES
Head of population health and healthcare experience, Ronald McDonald House, New York
Table of Contents

YOU MAY BE INTERESTED IN

ClinicalTrials & Tribulations

Saving Western Kenya’s pediatric blood cancer patients
How flow cytometry is changing the diagnostic landscape

When our hematological malignancy testing pilot project began in Eldoret, Kenya, there seemed to be a mismatch in relation to progress in healthcare. The region, like much of sub-Saharan Africa, had been focusing on combatting infectious diseases such as HIV and malaria—which was much-needed—yet cancer care was under-resourced. 
By Samuel (Tony) Boova, Eda Holl, LaToya Montgomery, Steve Kussick, Nicholas Kigen, Gilbert Olbara, Festus Muigai Njuguna, Terry Vik and Teresa Loile Lotodo
ClinicalTrials & Tribulations

The challenge of making the move from conversational AI to autonomous scientific discovery
Advancing from level II to level III AI agents in precision medicine

Artificial intelligence is rapidly transforming biomedical research and healthcare. Large language models, foundation models, and AI agents are increasingly being deployed to assist with data interpretation, literature review, clinical decision support, and translational research. 
By Enrique Velazquez-Villarreal
Byline
Jamillah Hoy-Rosas, MPH, RD, CDCES
Head of population health and healthcare experience, Ronald McDonald House, New York
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