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Title:           Predicting AT(N) pathologies in Alzheimer’s disease from blood-based proteomic data using neural networks
Subject:         Background and objective: Blood-based biomarkers represent a promising approach to help identify early Alzheimer’s disease (AD).
Keywords:        Alzheimer’s disease, plasma proteomics, amyloid β, tau, neurodegeneration, machine learning, artificial neural networks
Author:          Yuting Zhang
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      Title: Predicting AT(N) pathologies in Alzheimer’s disease from blood-based proteomic data using neural networks
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        Title: Introduction
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        Title: Materials and methods
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          Title: Participants
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          Title: Statistical analysis
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          Title: Building NNs
         Item: 
          Title: Discrimination of AT(N)
         Item: 
          Title: Enrichment analysis
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        Title: Results
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          Title: Demographic and clinical variables
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          Title: Discrimination of AT(N) markers using NNs
         Item: 
          Title: Discrimination of A + T + N+ from A – T – N − using NNs
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          Title: Enriched terms
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        Title: Discussion
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        Title: Data availability statement
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