Age prediction accuracy

Biomarker

3 papers study it44 more mention it3 findings

  • Humans3

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3

Multimodal age prediction

upin humans1

1 study
  1. multimodal age prediction increases age prediction accuracy in humans.

    “Multimodality outperforms single modality in the age prediction”

    Humanshealthy subjectsn = 27,793

    Joint Aging Patterns in Brain Function and Structure Revealed Using 27,793 Samples

    Research (Washington, D.C.)

Random forest model combining DNAm and miRNA markers

upin humans1

1 study
  1. random forest model combining DNAm and miRNA markers improve age prediction accuracy in humans (MAD 3.51 years, R2 0.84).

    “the random forest (RF) model had a minimum mean absolute deviation (MAD) value of 3.51 years and a maximum R2 of 0.84 for the validation sets”

    Humansbloodn = 132

    Forensic Age Estimation From Blood Samples by Combining DNA Methylation and MicroRNA Markers Using Droplet Digital PCR

    Electrophoresis

Methylation clocks

downin humans1

1 study
  1. Methylation clocks decrease age prediction accuracy in humans.

    “The clocks are less accurate at predicting age in genetically admixed individuals, especially those with substantial African ancestry, than in the white cohort.”

    Humansin genetically admixed individuals, especially those with substantial African ancestryn = 621

    Methylation Clocks Do Not Predict Age or Alzheimer's Disease Risk Across Genetically Admixed Individuals

    bioRxiv : the preprint server for biologyPreprint

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