Background Biological age is a measure of health that offers insights into ageing. The
existing age clocks, although valuable, often trade off accuracy and interpretability. We …

Background An individual's biological age is a measurement of health status and provides a
mechanistic understanding of aging. Age clocks estimate a biological age of an individual …

Biological age as an integrated value of biophysiological measures has been widely
investigated as a biomarker of ageing. It outperforms chronological age in predicting the …

Age-related physiological changes in humans are linearly associated with age. Naturally,
linear combinations of physiological measures trained to estimate chronological age have …

Abstract Deep Neural Networks (DNN) have been recently developed for the estimation of
Biological Age (BA), the hypothetical underlying age of an organism, which can differ from its …

The applications of modern artificial intelligence (AI) algorithms within the field of aging
research offer tremendous opportunities. Aging is an almost universal unifying feature …

With modern advances in artificial intelligence and machine learning, biomarker research
and drug development have produced numerous tools for early diagnostics and prevention …

Accurate and physiologically meaningful biomarkers for human aging are key to assessing
antiaging therapies. Given ethnic differences in health, diet, lifestyle, behavior …

Biological age captures physiological deterioration better than chronological age and is
amenable to interventions. Blood-based biomarkers have been identified as suitable …

Estimators of biological age (BA)–defined as the hypothetical underlying age of an organism–
have attracted more and more attention in the last years, especially after the advent of new …