Biological aging prediction

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Deep learning

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Deep learning improves biological aging prediction in humans.
“Recent advances in artificial intelligence (AI), utilizing deep learning techniques, have significantly enhanced the prediction of biological aging”
Review
Deep aging clocks: AI-powered strategies for biological age estimation
Ageing research reviews2 Sep 2025

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17 in 12 months

Maturitas1 Oct

Accelerated biological aging links to higher gout risk and increased mortality

Data from NHANES and the UK Biobank show phenotypic and biological age measures track with gout incidence and subsequent survival.Data from NHANES and the UK Biobank show phenotypic and biological age measures track with gout incidence and subsequent survival.

Cohort study in peoplePhenoAge

Journal of the National Cancer Institute4 Sep

Psychological distress in adult patients with colorectal cancer: roles of biological age and neighborhood deprivation

Cohort study of 958 peopleColorectal cancer

The Journals of Gerontology, Series A28 Aug

Unequal embodiment: racial and ethnic heterogeneity in the predictors and age-related health outcomes associated with accelerated biological aging

Cohort study in peoplePopulations

iScience20 Aug

Accelerated biological aging predicts poor outcomes in frail ICU patients

Cohort study of 784 peoplePhenoAge

bioRxiv20 Aug

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

Preprint: cohort study in peopleBiomarkers

Research Square11 Aug

Imaging-based biological age estimation predicts competing mortality risk in lung cancer screening

Preprint: cohort study of 12,478 peopleLung cancer

arXiv14 Mar

Benchmarking Open-Source PPG Foundation Models for Biological Age Prediction

Preprint: computational studyBiological age

PNAS10 Mar

Histone modification clocks for robust cross-species biological age prediction and elucidating senescence regulation

Experiments in cellsBiomarkers

medRxiv16 Feb

Disentangling physiological heterogeneity in retinal aging using a deep learning–based biological age framework

Preprint: study of 56,019 peopleBiomarkers

Scientific Reports29 Jan

A multimodal retinal aging clock for biological age prediction and systemic health assessment via OCT and fundus imaging

Study in peopleBiomarkers