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Newest in this topic

  1. Comparison of plasma and neuroimaging biomarkers to predict cognitive decline in non-demented memory clinic patients 2024-05-16
  2. Skeletal muscle mitochondrial function predicts cognitive impairment and is associated with biomarkers of Alzheimer's disease and neurodegeneration 2023-08-02
  3. Plasma phosphorylated tau181 predicts cognitive and functional decline 2022-12-14

Studies

4 studies carry this tag.

Date range

2020 to 2024

Top journals

  • Alzheimer's & dementia : the journal of the Alzheimer's Association 1
  • Alzheimer's research & therapy 1
  • Annals of clinical and translational neurology 1
  • Journal of neurovirology 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. Comparison of plasma and neuroimaging biomarkers to predict cognitive decline in non-demented memory clinic patients

    ✓ Peer-reviewed alzhub usefulness score 45 out of 100. Alzheimer's research & therapy 2024-05-16 Biomarkers

    Plasma NfL and GFAP predict cognitive decline in a similar manner to traditional imaging techniques in amyloid-positive MCI patients.

  2. Skeletal muscle mitochondrial function predicts cognitive impairment and is associated with biomarkers of Alzheimer's disease and neurodegeneration

    ✓ Peer-reviewed alzhub usefulness score 43 out of 100. Alzheimer's & dementia : the journal of the Alzheimer's Association 2023-08-02 Biomarkers

    In aging, mitochondrial dysfunction may play a vital role in AD pathological changes and neuroinflammation.

  3. Plasma phosphorylated tau181 predicts cognitive and functional decline

    ✓ Peer-reviewed alzhub usefulness score 53 out of 100. Annals of clinical and translational neurology 2022-12-14 Biomarkers

    Plasma p-tau181 differentiates AD pathology cases from NC with high accuracy.

  4. 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.

All topic tags with their study counts