Deep learning for classifying and cognitive profiling of subcortical vascular cognitive impairment
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Oct-2026 14:17 ET (27-Oct-2026 18:17 GMT/UTC)
A research paper by scientists at Capital Medical University proposed a diffusion tensor imaging (DTI)-based DenseNet to identify SVCI from subcortical ischemic vascular disease (SIVD) and to profile multidomain cognitive risks.
The research paper, published on May 13, 2026 in the journal Cyborg and Bionic Systems.
NUTRITION 2026 puts science in the spotlight as thousands of nutrition researchers and health professionals convene for the the annual flagship meeting of the American Society for Nutrition. Qualifying journalists are invited to join the action July 25–28 in National Harbor, Maryland, just outside Washington, D.C.
An investigator at the Icahn School of Medicine at Mount Sinai has received international recognition for innovative imaging research that may help physicians identify patients at increased risk of chronic kidney disease (CKD) before they undergo surgery for kidney tumors. Mira Liu, PhD, a postdoctoral fellow at the Mount Sinai BioMedical Engineering and Imaging Institute, received the prestigious W.S. Moore Award for Original Clinical Research at the 2026 International Society for Magnetic Resonance in Medicine & International Society for MR Radiographers & Technologists Annual Meeting & Exhibition.
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