Artificial IntelligenceBrain CancerDeep LearningFeaturedGeneticsMachine LearningNeurologyNeuroscienceNeurotechOpen Neuroscience Articles··3 min read
A new convolutional neural network that utilizes MRI brain scans can forecast genetic mutations in glioma brain tumors.
A synthetic, non-toxic form of scorpion venom helps illuminate brain tumors when stimulated by a near-infrared laser. A clinical trial of the agent showed it to be safe for use in brain cancer patients.
A new study reports bigger brain size could mean an increased risk of developing brain cancer. The reason, researchers say, is simple. Bigger brains have more brain cells, and thus a greater potential for cell mutations that lead to 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.
A fatal brain stem tumor was cleared by injecting it with engineered T-cells that recognized cancer and targeted it for destruction in mouse models, researchers report.
A new drug has been cleared for human trials in patients with anaplastic astrocytoma and glioblastoma brain cancers. The drug, PAC-1, is reported to spur cancer cells to self destruct and has proven to be effective in animal models of brain cancers.
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 use PET neuroimaging technology to help determine which children with DIPG brain cancer will benefit best from Avastin.