The search for biomarkers that quantify biological aging (particularly 'omic'-based
biomarkers) has intensified in recent years. Such biomarkers could predict aging-related …

Ageing is a complex biological process in which a gradual decline in physiological fitness
increases susceptibility to diseases such as neurodegenerative disorders and cancer …

DNA methylation (DNAm) is one of the most reliable biomarkers of aging across mammalian
tissues. While the age-dependent global loss of DNAm has been well characterized, DNAm …

Although human core body temperature is known to decrease with age, the age
dependency of facial temperature and its potential to indicate aging rate or aging-related …

Beyond mere prognostication, optimal biomarkers of aging provide insights into qualitative
and quantitative features of biological aging and might, therefore, offer useful information for …

Aging involves seemingly paradoxical changes in energy metabolism. Molecular damage
accumulation increases cellular energy expenditure, yet whole-body energy expenditure …

Biological aging clocks produce age estimates that can track with age-related health
outcomes. This study aimed to benchmark machine learning algorithms, including …

For efficient, cost-effective and personalized healthcare, biomarkers that capture aspects of
functional, biological aging, thus predicting disease risk and lifespan more accurately and …

Abstract Machine learning models based on DNA methylation data can predict biological
age but often lack causal insights. By harnessing large-scale genetic data through …

Recent progress on the underlying biological mechanisms of healthy longevity has
propelled the field from elucidating genetic modification of healthy longevity hallmarks to …