Researchers have developed an AI system that predicts brain tumor recurrence in children using sequential MRI scans. By ...

Patients with locally advanced head and neck cancer who received the immune checkpoint inhibitor pembrolizumab before, during ...

Dana-Farber Brigham Cancer Center-led phase 3 clinical trial shows that pembrolizumab before and after standard-of-care surgery significantly extends ...

Although the Elliot Hospital in Manchester and Southern Medical Center in Nashua are just 20 miles apart and share many similarities and goals, that hasn’t been enough to bridge an unforeseen chasm ...

Four physicians spoke on the panel, which was held at the Basketball Hall of Fame in Springfield, to discuss advancements in ...

From new cancer therapies to innovative military health care and technology, Harvard's cutting-edge projects are in jeopardy as the Trump administration freezes research funding.

The grandparents want the toddler to know her mother’s side of the family. The father thinks the visits are detrimental to ...

Researchers have developed an AI model that analyzes sequences of brain scans to accurately predict tumor recurrence in children with gliomas.

Researchers trained and validated a deep learning model that can detect subtle changes across post-treatment brain scans and forecast glioma recurrence with up to 89 percent accuracy.

AACR's achievement awards and lectureships recognize innovation in basic, translational, clinical, and epidemiological cancer research.

Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human observers.