1. <sub id="zy88n"></sub>
        1. <blockquote id="zy88n"></blockquote>
          欧美黑人又大又粗xxxxx,人人爽久久久噜人人看,扒开双腿吃奶呻吟做受视频,中国少妇人妻xxxxx,2021国产在线视频,日韩福利片午夜免费观着,特黄aaaaaaa片免费视频,亚洲综合日韩av在线

          Chinese researchers identify biomarker for early detection of Alzheimer's disease

          Source: Xinhua| 2020-04-10 20:00:38|Editor: huaxia

          A doctor arranges test kits at a clinic of Hunan People's Hospital in Changsha, central China's Hunan Province, Feb. 7, 2020.

          Researchers from the Institute of Automation of the Chinese Academy of Sciences and other collaborators found that hippocampal radiomic features can be a promising personalized biomarker for Alzheimer's disease.

          BEIJING, April 10 (Xinhua) -- Chinese researchers have identified a neuroimaging biomarker that can facilitate the early detection of Alzheimer's disease (AD).

          AD is a chronic neurodegenerative disease characterized by progressive dementia. Neuroimaging techniques such as magnetic resonance imaging (MRI) can help diagnose AD. Accurate data-driven methods that can classify and characterize the neural features of AD would be powerful clinical tools.

          Researchers from the Institute of Automation of the Chinese Academy of Sciences and other collaborators found that hippocampal radiomic features can be a promising personalized biomarker for AD.

          In their search for suitable biomarkers, researchers proposed a novel hippocampal radiomic biomarker derived from structural MRI and systematically validated its reliability using neuroimaging data from over 1,900 individuals, including more than 700 located at six sites in China and around 1,200 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset.

          The study showed that hippocampal radiomic features are related to the clinical features and changes in cognition ability. Long-term follow-up data in some hospitals demonstrated that the markers could be used to track the progression of the disease in high-risk subjects.

          The research was published in the journal Science Bulletin.

          KEY WORDS:
          EXPLORE XINHUANET
          010020070750000000000000011102121389649311
          主站蜘蛛池模板: 狠狠干| 日韩有码中文字幕av| 蜜桃av亚洲精品一区二区 | 国产精品无遮挡在线观看| 亚洲av综合av一区| 又长又粗又爽又高潮的视频| 国产精品成人午夜福利| 欧美图片在线综合一区| 欧美精品一区二区在线观看播放| 亚洲人成网站18禁止一区| 91国内视频在线观看| 插插无码视频大全不卡网站| 激情五月婷婷| 天天摸天天爽天天碰天天弄| 91天堂素人精品系列全集亚洲| 亚洲色大成网站www久久九九| 麻豆国产va免费精品高清在线| 成人性色生活片免费毛片男女| 国产97色在线 | 国产| 亚洲欧洲日产国产av无码| 日韩精品久久无码中文字幕 | 国产丝袜视频一区二区三区| 国产亚洲999精品AA片在线爽| 男女啪啪gif动态图27报| 久久久久久久国产精品影院| 日韩欧美aⅴ综合网站发布| a级国产乱理论片在线观看| 三上悠亚精品一区二区久久| 伊人久久大香线蕉综合影院| 亚洲乱理伦片在线观看中字| 天天摸天天做天天爽视频| 怡春院久久国语视频免费| 好姑娘7完整版在线观看| 黄色av网站在线观看| 日韩精品不卡一区二区三区| 亚洲日本中文字幕区| 国产精品一区二区中文| 亚洲精品成人中文网| 精品人妻码一区二区三区| 性欧美牲交在线视频| 国产人成无码视频在线观看|