Researchers have developed an artificial intelligence method that can uncover previously hidden signs of multiple sclerosis in routine MRI scans.
AI-enhanced analysis of conventional MRI scans reveals thousands of hidden cortical lesions in multiple sclerosis, potentially opening a new window into disease progression.
Working with concurrent electroencephalogram and functional magnetic resonance imaging technology at the Beckman Institute's ...
This repo is the official implementation of "Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency" (ICML 2026). It includes code and configurations for ...
We got to go hands-on with Chapters Five and Six of Resonance: A Plague Tale Legacy, set for PS5 release on August 27, 2026, and were rather impressed to say the least with what we saw. Resonance: A ...
In a landmark achievement in biological imaging, researchers at the University of California, Berkeley and Biohub today announced the successful demonstration of the laser phase plate, a novel device ...
A phase III multicenter randomized non-inferiority trial comparing selective versus modified neck dissection in node-positive oral squamous cell carcinoma (SND vs MND). This is an ASCO Meeting ...
Diffusion magnetic resonance imaging (dMRI) offers unparalleled insight into the microstructural organisation of biological tissues, most notably the white matter tracts of the human brain. However, ...
Mangaciclanol, if approved, could transform contrast-enhanced MR imaging by offering an alternative to - or even replacing - gadolinium-based MRI agents A manganese-based MRI contrast agent could ...
Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
Spatiotemporal neural dynamics and oscillatory synchronization are widely implicated in biological information processing and have been hypothesized to support flexible coordination such as feature ...
A high-speed visual BCI based on hybrid frequency-phase-space encoding and high-density EEG decoding
(A) Top and rear views of 9/64, 21/64, 32/128, and 66/256 electrode configurations. (B) Basic structure of the BCI system. The 200 targets were formed by combining 40 square luminance-modulated ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results