Scientists at the University of Cambridge believe they may have discovered a surprising new way to slow the spread of brain cancer. Instead of targeting cancer cells directly, their research suggests ...

Summary: A new study reveals that glioblastoma, the most aggressive brain cancer, thrives by using sugar in unique ways that differ from healthy brain cells. While normal brain tissue channels sugar ...

Rosie went for an MRI and on December 22 the family had a call and were told Rosie's brain was compressed and she had a 6m tumor. She had a biopsy on Dec. 27 to determine the type of tumor, and was ...

Clinicians typically classify meningiomas—the most common type of brain tumor—into three grades, ranging from slow-growing to aggressive. But a new multi-institutional study suggests that appearances ...

This project implements advanced machine learning approaches for brain tumor classification using MRI images from the PMRAM Bangladeshi Brain Cancer MRI Dataset. The project includes two comprehensive ...

Brain tumors pose a critical threat to human health, and early detection is essential for improving patient outcomes. This study presents two key enhancements to the YOLOv11 architecture aimed at ...

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...

The National Cancer Institute (NCI) is ending its support for a 26-year-old push to advance clinical trials for children with brain tumors. Founded in 1999, the Pediatric Brain Tumor Consortium (PBTC) ...

Victorian brain cancer researchers have achieved a global-first, using an innovative process to learn how a new drug suppresses tumor activity and provides hope to patients with low-grade gliomas (LGG ...

An AI-powered web application for automated brain tumor detection and analysis using MRI images. This system combines deep learning with modern web technologies to provide accurate tumor ...

“Hello everyone! I’m finally home. Last week was rough! But I’m getting better every day. Gonna be a while before I get fully recovered, but it’s going good! I want to thank you all for all the ...