https://preview.redd.it/a1r2lxp3gt3h1.png?width=209&format=png&auto=webp&s=83814329cd90195892382c6bee82c2ae66d0b0e8 Researchers have used physics-informed artificial intelligence to map the speed of cerebrospinal fluid flow through the brain’s glymphatic waste-clearing system for the first time. The study, published on May 27, 2026 in Science Advances, was conducted by scientists from the University of Rochester, Brown University, and the University of Copenhagen. Professor Douglas Kelley explained that their new MR-AIV method uses physics-informed neural networks to resolve extremely slow fluid velocities from standard MRI data. The AI analysis revealed a dual-speed drainage schema, showing that fluid moves at 3 microns per second near the skull but 50 times slower deep within brain tissue. While tested on mice, researchers plan to adapt the technology to humans to screen for Alzheimer’s risk factors and assess the physiological impact of concussions. Source: https://www.perplexity.ai/discover/tech/ai-maps-brain-s-waste-clearing-gO02prYLSg6R8nnCu6NXJQ submitted by /u/andrewaltair
Originally posted by u/andrewaltair on r/ArtificialInteligence