First Affiliated Hospital of Chongqing Medical University Reports Findings in Pe rsonalized Medicine (Exploring subtypes of multiple sclerosis through unsupervis ed machine learning of automated fiber quantification)
First Affiliated Hospital of Chongqing Medical University Reports Findings in Pe rsonalized Medicine (Exploring subtypes of multiple sclerosis through unsupervis ed machine learning of automated fiber quantification)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting ou t of Chongqing, People’s Republic of China, by NewsRx editors, research stated, “This study aimed to subtype multiple sclerosis (MS) patients using unsupervised machine learning on white matter (WM) fiber tracts and investigate the implicat ions for cognitive function and disability outcomes. We utilized the automated f iber quantification (AFQ) method to extract 18 WM fiber tracts from the imaging data of 103 MS patients in total.”
Key words
Chongqing/People’s Republic of China/A sia/Autoimmune Diseases and Conditions/Autoimmune Diseases and Conditions of the Nervous System/CNS Demyelinating Autoimmune Disease/Cyborgs/Demyelinating Diseases and Conditions/Drugs and Therapies/Emerging Technologies/Health and Medicine/Immune System Diseases and Conditions/Machine Learning/Multiple Scle rosis/Neuroimmunology/Neurology/Personalized Medicine/Personalized Therapy
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