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.
A single dose of the psychedelic psilocybin reduces depression, anxiety, and feelings of hopelessness in cancer patients for 12 months after the drug is administered.
Chronobiologists warn changing to daylight savings can have serious effects on both brain and general health. The change in time during spring was linked to a 24% increase in severe cardiovascular events in women. Researchers also noted the sudden change in time alters circadian rhythms, reduces the production of natural melatonin, impacts cognitive function, and may also foster tumor growth.
Introducing VEGF-C into the cerebrospinal fluid of mouse models of glioblastoma, researchers noted increased levels of T cell response to the cancerous tumors. When combined with immune system checkpoint inhibitors, the VEGF-C treatment significantly extended the life span of the mice with glioblastoma brain cancer.
OCIAD1, a protein commonly associated with ovarian cancer, contributes to neurodegeneration in Alzheimer's disease by impairing mitochondrial function, leading to synaptic damage and neural vulnerability.
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.
Artificial IntelligenceBrain CancerDeep LearningFeaturedGeneticsMachine LearningNeurologyNeuroscienceNeurotechOpen Neuroscience Articles··2 min read
Using big data, researchers have developed a new computer algorithm capable of analyzing genetic and pharmacological information to suggest new treatment options for neuroblastoma.
Artificial IntelligenceBrain CancerDeep LearningFeaturedMachine LearningNeurologyNeuroscienceNeurotech··4 min read
A new artificial intelligence convolutional neural network is 94.6% accurate at diagnosing real-time intraoperative brain tumors.