SImAge

2 papers1 finding

Humans1
In silico1

Associations

1

Chronological age

upin silico1

1 study

SImAge predicts chronological age in silico (MAE 6.94 years, Pearson ρ = 0.939).
“The best result of the SImAge model shown by the FT-Transformer deep neural network model has mean absolute error of 6.94 years and Pearson ρ = 0.939”
In silico
Small immunological clocks identified by deep learning and gradient boosting
Frontiers in immunologyAug 25, 2023

Latest

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Cohort study in peoplePopulations

Frontiers in ImmunologyAug 25

Small immunological clocks identified by deep learning and gradient boosting

Computational studyBiomarkers