Axon myelination is significantly disrupted in patients with Alzheimer's disease. Researchers also found brain cells of men and women vary significantly in how their genes respond to the neurodegenerative disease.
EmoNet, a new convolutional neural network, can accurately decode images into eleven distinct emotional categories. Training the AI on over 25,000 images, researchers demonstrate image content is sufficient to predict the category and valence of human emotions.
Researchers have developed a new machine learning algorithm that can make accurate predictions about cognitive decline leading to Alzheimer's. The algorithm, researchers say, may help doctors stream people onto a preventative path and offer treatment sooner.