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Newest in this topic

  1. A Conformation Variant of p53 Combined with Machine Learning Identifies Alzheimer Disease in Preclinical and Prodromal Stages 2020-12-26
  2. Using neuronal extracellular vesicles and machine learning to predict cognitive deficits in HIV 2020-07-17
  3. A Machine Learning Approach to Identify a Circulating MicroRNA Signature for Alzheimer Disease 2020-01-01

Studies

3 studies carry this tag.

Date range

2020

Top journals

  • Journal of neurovirology 1
  • Journal of personalized medicine 1
  • The journal of applied laboratory medicine 1

Newest first, then by address. Each study has a usefulness score out of 100 (rubric version 4.0); tap a score to see what makes it up. Tags were assigned automatically from each study's title and summary. The same studies as a filter in the library.

  1. A Conformation Variant of p53 Combined with Machine Learning Identifies Alzheimer Disease in Preclinical and Prodromal Stages

    ✓ Peer-reviewed alzhub usefulness score 62 out of 100. Journal of personalized medicine 2020-12-26 Biomarkers

    Early diagnosis of Alzheimer's disease (AD) is a crucial starting point in disease management.

  2. Using neuronal extracellular vesicles and machine learning to predict cognitive deficits in HIV

    ✓ Peer-reviewed alzhub usefulness score 38 out of 100. Journal of neurovirology 2020-07-17 Biomarkers

    Our objective was to predict HIV-associated neurocognitive disorder (HAND) in HIV-infected people using plasma neuronal extracellular vesicle (nEV) proteins, clinical data, and machine learning.

  3. A Machine Learning Approach to Identify a Circulating MicroRNA Signature for Alzheimer Disease

    ✓ Peer-reviewed alzhub usefulness score 45 out of 100. The journal of applied laboratory medicine 2020-01-01 Biomarkers

    Although additional and more diverse cohorts are needed for further clinical validation of the robustness, the miRNA signature appears to be a promising blood test to diagnose AD.

All topic tags with their study counts