A Denver man said he's learning to navigate so-called "brain fog" after undergoing chemotherapy six years ago.

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

Six years after a devastating cancer diagnosis, Jarlath Waters’ 9-year-old son Quinn received a cancer-free brain scan — just ...

Rebecca Ten Broeck of Brick has battled surgery, nausea and hair loss. But has that stopped her from pursuing her teaching ...

7, 2025 — A type of aggressive, treatment-resistant brain tumor has a distinct population of immune cells that support its growth, according to new ... Feb. 4, 2025 — Research has shown that a ...

As cancer progressed, mice still pursued easy rewards but quickly abandoned tasks requiring greater effort. Meanwhile, we ...

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.

Ethan LaMontagne is a shortstop for the East Union baseball team. He has had overcame a battle with cancer two times in his ...

The FDA granted breakthrough therapy designation to an autologous CAR-T cell therapy for pediatric patients with diffuse ...

A cruel consequence of advanced cancer is the profound apathy many patients experience as ... our discovery reveals a ...

More information: Altered brain functional networks in patients with breast cancer after different cycles of neoadjuvant chemotherapy, Journal of Magnetic Resonance Imaging (2025). DOI: ...