Tag: Alzheimers disease
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Machine Learning Shows Promise in Neurodegenerative Disease Research
Discover how machine learning is revolutionizing neurodegenerative disease research, improving diagnosis, prognosis, and treatment predictions.
Machine Learning Approach for Alzheimer’s Disease Progression Monitoring
Discover the potential of machine learning in monitoring Alzheimer's disease progression using personality traits, anxiety, depression, fMRI, and CSF biomarkers.
Machine Learning Model Detects Mild Cognitive Impairment Through Retinal Scans
Using retinal images, Duke Health researchers developed a machine learning model that can detect mild cognitive impairment. A non-invasive method for early Alzheimer's detection.
Using Machine Learning, Researchers Can See How The Brain Responds To Different Scenarios
Johns Hopkins scientists used machine learning to visualize the strength of synapses, which facilitate communication between nerve cells in the brain. The technique utilized fluorescent genetic modification in mice, capturing photos of individual synapses over time. The technology can aid in understanding how aging, injury, and illness impact synaptic connections and brain function. The multidisciplinary team of scientists collaborated at the Kavli Neuroscience Discovery Institute, offering a better comprehension of synaptic signaling shifts.