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Predicting clinical progression trajectories of early Alzheimer's disease patients.

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第一作者： Viswanath,Devanarayan

第一单位： Clinical Evidence Generation, Eisai Inc., Nutley, New Jersey, USA.;Department of Mathematics, Statistics and Computer Science, University of Illinois Chicago, Chicago, Illinois, USA.

作者： Viswanath,Devanarayan ^[1] ; Yuanqing,Ye ^[2] ; Arnaud,Charil ^[2] ; Erica,Andreozzi ^[2] ; Pallavi,Sachdev ^[2] ; Daniel A,Llano ^[3] ; Lu,Tian ^[4] ; Liang,Zhu ^[2] ; Harald,Hampel ^[2] ; Lynn,Kramer ^[2] ; Shobha,Dhadda ^[2] ; Michael,Irizarry ^[2] ; Alzheimer's Disease Neuroimaging Initiative (ADNI)

作者单位： Clinical Evidence Generation, Eisai Inc., Nutley, New Jersey, USA.;Department of Mathematics, Statistics and Computer Science, University of Illinois Chicago, Chicago, Illinois, USA. ^[1] Clinical Evidence Generation, Eisai Inc., Nutley, New Jersey, USA. ^[2] Carle Illinois College of Medicine, Urbana, Illinois, USA.;Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA. ^[3] Department of Biomedical Data Science, Stanford University School of Medicine, Palo Alto, California, USA. ^[4]

关键词 clinical trial enrichment disease progression machine learning mild cognitive impairment prognosis

医学主题词人类(Humans);阿尔茨海默病(Alzheimer Disease);磁共振成像(Magnetic Resonance Imaging);脑(Brain);疾病恶化(Disease Progression)

DOI 10.1002/alz.13565

PMID 38087949

发布时间 2024-07-15

基金项目

U01 AG024904/AG/NIA NIH HHS/United States CIHR/Canada EB/NIBIB NIH HHS/United States U01 AG024904/NH/NIH HHS/United States

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