Cellular reprogramming of glioma cells into neural cells may be a promising treatment for glioblastoma brain cancer.
While incidence rates of malignant brain cancers have declined over recent years, the five-year survival rate for brain cancer patients remains low.
A new AI model can accurately classify a brain tumor of one of six common cancer types from a single MRI brain scan image.
Researchers found lymph-node-like structures close to glioma brain tumors in cancer patients. The study reveals immune cells within these structures can be activated to attack the brain tumor.
Researchers have carried out clinical trials to test a mutation-specific vaccine against malignant brain tumors. The vaccine has been found to be safe and effective in triggering the desired immune response in the brain cancer tumors.
Researchers have developed a Dp44mT nano-carrier that can directly target glioblastoma and other brain cancer cells.
Treating mouse models of astrocytomas with a new combination therapy resulted in tumor regression in 60% of the mice.
A new zebrafish model holds the potential for future studies of glioblastoma, an aggressive and lethal brain cancer.
Neurons and immune cells work together to promote tumor growth in neurofibromatosis type 1.
Artificial IntelligenceBrain CancerDeep LearningFeaturedMachine LearningNeurologyNeuroscienceNeurotech
··3 min readA new machine learning algorithm can predict which tumors were lower-grade gliomas or glioblastoma brain cancer with a high degree of accuracy.
A new, freely available computer platform creates a 3D model that brings together the macroscopic scale of tissue with the microscopic scale of individual cells. This allows the platform to realistically model brain cancer's mechanobiology while maintaining resolution power.
Several variants of the PIK3CA gene drive brain tumor progression. Two of the variants alter the expression of genes involved in synapses.
