Age-gap

2 papers2 findings

Humans1
In silico1

Associations

2

Mortality

upin humans1HR 1.16

1 study

Age-gap raises the risk of mortality in humans (HR 1.16, 95% CI 1.08-1.25).
“an increased risk of all-cause mortality (hazard ratio: 1.16, 95% CI 1.08-1.25) in patients with COPD”
Humansin patients with COPDn = 138
Deep Learning-Based Estimated Pulmonary Biological Age From Chest Computed Tomography Images in Healthy Adults: Model Development and Validation Study
JMIR aging12 Mar 2026

Forced expiratory volume in 1 second

downin humans1

1 study

Age-gap is associated with forced expiratory volume in 1 second in humans (rs=-0.18, P=.03).
“Age gap was significantly associated with forced expiratory volume in 1 second expressed as percentage of predicted values reduction (rs=-0.18; P=.03)”
Humansin patients with COPD
Deep Learning-Based Estimated Pulmonary Biological Age From Chest Computed Tomography Images in Healthy Adults: Model Development and Validation Study
JMIR aging12 Mar 2026

More on Forced expiratory volume in 1 second

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Beyond point estimates: quantifying predictive uncertainty reveals hidden dimensions of biological age acceleration and improves risk interpretation

Preprint: cohort study in peopleBiomarkers

JMIR Aging12 Mar

Deep Learning-Based Estimated Pulmonary Biological Age From Chest Computed Tomography Images in Healthy Adults: Model Development and Validation Study

Cohort study of 11,187 peopleChronic obstructive pulmonary disease

Briefings in Bioinformatics2 Mar

ORANGE: a machine learning approach for modeling tissue-specific aging from transcriptomic data

Computational studyBiomarkers