Mean absolute error

Biomarker

3 papers3 findings

  • Human trial1
  • In silico2

Upstream

1

Intercept-only adjustment

downin silico1

1 study
  1. intercept-only adjustment decreases mean absolute error in silico (from 8.83 to 5.56 years, 4.28 to 2.46 years, and 7.77 to 3.92 years).

    “intercept-only adjustment reduced the eight-CpG model mean held-out MAE from 8.83 to 5.56 years, 4.28 to 2.46 years, and 7.77 to 3.92 years, respectively.”

    In silicorepeated-split calibration

    Compact DNA methylation panels for forensic age estimation: cross-cohort evaluation and calibration using public whole-blood data

    Research Square27 Aug 2026Preprint

Associations

2

four-CpG model

upin silico1

1 study
  1. four-CpG model predicts mean absolute error in silico (MAE 8.62 years and 3.90 years).

    “the four-CpG model achieved the lowest MAE in GSE40279 (8.62 years) and GSE69270 (3.90 years)”

    In silicoraw external evaluation

    Compact DNA methylation panels for forensic age estimation: cross-cohort evaluation and calibration using public whole-blood data

    Research Square27 Aug 2026Preprint

More on four-CpG model

ResNet-18

no changein silico1

1 study
  1. ResNet-18 is associated with mean absolute error in silico (MAE 3.61 years).

    “ResNet-18 was the superior architecture, achieving an internal test Mean Absolute Error (MAE) of 3.61 years”

    In silicointernal test on Brazilian OPGsn = 10,036

    External Validation and Interpretability Analysis of a Deep Learning Model for Forensic Age Estimation Across Brazilian and Romanian Populations

    Research Square4 Aug 2026Preprint

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Nature Communications

Brain regions reach their structural peak at different ages

In an observational study of 2,796 adults, a multimodal brain-age model predicted chronological age with an average error of 3.45 years.In an observational study of 2,796 adults, a multimodal brain-age model predicted chronological age with an average error of 3.45 years.

Cross-sectional study of 2,796 peopleBiomarkers
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Wearable patch matched artery signals with high accuracy

In experiments with 110 participants, the patch achieved 96.14% waveform similarity to medical-grade equipment without needing calibration for each person.In experiments with 110 participants, the patch achieved 96.14% waveform similarity to medical-grade equipment without needing calibration for each person.

Trial in 110 peopleInterventions