New research published in Nature finds that tumor cells within supratentorial ependymomas (SE) – an aggressive childhood brain cancer – cluster into distinct tumor cell populations. Much like a ...

Abstract: Efficient diagnosis, treatment planning, and patient care requires that brain tumors in MRI images must be accurately segmented and classified. Many deep learning practices are used to ...

Abstract: Precise tumor localization and sub-region identification are critical for disease diagnosis. However, current Weakly Supervised Semantic Segmentation (WSSS) methods for brain tumor ...

This story was updated because an earlier version included inaccuracies. People who live in Urbandale's ZIP code 50323 have a breast cancer rate more than two times higher than Iowans who live in Fort ...

Brain aging is driven not only by which proteins are present, but by how precisely they are regulated and cleared over time. A new study reveals that a key molecular control system becomes ...

Brain lesion segmentation from multi-modal MRI often assumes fixed modality sets or predefined pathologies, making existing models difficult to adapt across cohorts and imaging protocols. Continual ...

A team led by investigators at Mass General Brigham and Dana-Farber Cancer Institute has shown that a single injection of an oncolytic virus—a genetically modified virus that selectively infects and ...