New multiplexed imaging technology using standard clinical MRI systems can simultaneously map more than 20 biomarkers in high resolution, providing a comprehensive view of the brain with a single scan ...

An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% accuracy ...

When a person first exhibits signs of having a stroke, the timing of treatment is critical to restore blood flow to the brain ...

Scientists at the Champalimaud Foundation have developed an ultrafast MRI method, uFLARE, that can distinguish between feedforward and feedback brain signals in rats. The technique combines high‑field ...

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable of analyzing brain MRI datasets to perform numerous medical tasks, ...

Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial intelligence to “read” MRI scans in a more flexible way. The team, led by ...

The researchers use a noninvasive tool called computer-assisted intravital microscopy – first developed at the University of ...

In a recent study published in the journal Nature Medicine, researchers developed seven Magnetic Resonance Imaging-based Biological Age Gaps (MRIBAGs) across the brain, heart, liver, spleen, kidney, ...

The Swoop MRI system, developed by US-based medical technology company Hyperfine, is installed at the AIIMS’ Center for ...