According to researchers, combining tricyclic antidepressants with blood thinners increased tumor autophagy in mouse models of glioblastoma brain cancer.
Researchers believe their findings could lead to new targets for brain cancer therapies.
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.
According to a new study, neural activity can stimulate the growth of high-grade glioma brain cancers.
Researchers have developed a unique and inexpensive device which lights up malignant brain tumors.
Based on a large scale meta analysis, researchers report striking differences between children's high grade gliomas, so much so that they could be split into 10 different subtypes based on different characteristics. The findings have important implications for developing new and individualized treatments.
Researchers have developed a promising new combination therapy for the treatment of glioblastoma brain cancer.
Researchers have identified three regions in the genome where significant genetic differences between the sexes exist. These differences also varied by cancer type. The findings suggest specific genetic tests tailored to the different sexes could help assess cancer risks.
Researchers identify the genetic mechanism behind angiocentric gliomas, a new study reports.
Researchers discover glioblastoma brain tumor cells disrupt the blood brain barrier. The findings offer potential new avenues to treat brain cancer.