National University of Singapore Reports Findings in Lupus (Combining multimodal magnetic resonance brain imaging and machine learning to unravel neurocognitive function in non-neuropsychiatric systemic lupus erythematosus)
National University of Singapore Reports Findings in Lupus (Combining multimodal magnetic resonance brain imaging and machine learning to unravel neurocognitive function in non-neuropsychiatric systemic lupus erythematosus)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Autoimmune Diseases an d Conditions - Lupus is the subject of areport. According to news reporting ori ginating from Singapore, Singapore, by NewsRx correspondents,research stated, “ To study whether multimodal brain MRI comprising permeability and perfusion measures coupled with machine learning can predict neurocognitive function in young patients with SLE withoutneuropsychiatric manifestations. SLE patients and heal thy controls (HCs) ( 40 years of age) underwent multimodal structural brain MRI that comprised voxel-based morphometry (VBM), magnetization transferratio (MTR) and dynamic contrast-enhanced (DCE) MRI in this cross-sectional study.”
Key words
Singapore/Singapore/Asia/Autoimmune D iseases and Conditions/Cyborgs/Emerging Technologies/Health and Medicine/Lup us/Machine Learning/Perfusion/Systemic Lupus Erythematosus
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