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Sara Piccirillo, PhD, is passionate about finding a way to beat glioblastoma, the most aggressive type of brain cancer.
A protein typically associated with neurodegenerative diseases like Alzheimer's might help scientists explore how gliomas, a type of cancerous brain tumor, become so aggressive.
Cancers used to be defined by where they grow in the body - lung cancer, skin cancer, brain cancer, etc. But work in recent decades has shown that cancers sharing specific genetic changes may have more in common than cancers that happen to grow in an area of the body.
The Akay Lab biomedical research team at the University of Houston is reporting an improvement on a microfluidic brain cancer chip previously developed in their lab.
More than half of cancer cases worldwide are associated with genetic mutations in p53, the protein responsible for protecting DNA from changes that can lead to cancer.
Johns Hopkins researchers report that a type of biodegradable, lab-engineered nanoparticle they fashioned can successfully deliver a "suicide gene" to pediatric brain tumor cells implanted in the brains of mice.
Researchers have developed a new imaging technique and artificial intelligence algorithm that can help identify brain tumors.
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors, a new study finds.
The Department of Neurosurgery at the Icahn School of Medicine at Mount Sinai has received more than $10 million in federal funding for several projects focusing on brain tumor research.
Lab-grown brain organoids developed from a patient's own glioblastoma, the most aggressive and common form of brain cancer, may hold the answers on how to best treat it.