A newly discovered weakness in brain tumor cells could provide a new target for treating glioblastoma, researchers report.
Artificial IntelligenceBrain CancerDeep LearningFeaturedMachine LearningNeurologyNeuroscienceNeurotech··3 min read
A new machine learning algorithm can predict which tumors were lower-grade gliomas or glioblastoma brain cancer with a high degree of accuracy.
Researchers have developed a unique and inexpensive device which lights up malignant brain tumors.
Researchers detail the use of a drug that may help block the way glioblastoma brain cancer cells respond to fluid flow. The finding could lead to stopping glioblastoma from spreading.
Researchers report preoperative nTMS analysis of motor areas improves patient prognosis for malignant brain tumors.
Three subgroups of medulloblastoma brain cancer can be identified non-invasively using MRS neuroimaging technology.
MP-Pt(IV), a second generation prodrug appears to have curative properties against glioblastoma when coupled with chemotherapy in mouse models.
Scientists have long believed that glioblastoma multiforme, the most aggressive type of primary brain tumor, begins in glial cells that make up supportive tissue in the brain or in neural stem cells. Researchers found that the tumors can originate from other types of differentiated cells in the nervous system, including cortical neurons.
Cancer Research UK scientists have developed a technique they believe could be used to detect tiny secondary tumors in the...
Researchers report on how exosomic miRNAs released within a tumor environment affect resistance to chemotherapy.