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

Over the past decade, epigenetic clocks have emerged as powerful machine learning tools,
not only to estimate chronological and biological age but also to assess the efficacy of anti …

Epigenetic clocks are age predictors that use machine-learning models trained on DNA CpG
methylation values to predict chronological or biological age. Increases in predicted …

Old age is associated with a decline in cognitive function and an increase in
neurodegenerative disease risk. Brain ageing is complex and is accompanied by many …

Chronological age is a crucial risk factor for diseases and disabilities among older adults.
However, individuals of the same chronological age often exhibit divergent biological aging …

It has been four years since long COVID—the protracted consequences that survivors of
COVID-19 face—was first described. Yet, this entity continues to devastate the quality of life …

Reactivation of retroelements in the human genome has been linked to aging. However,
whether the epigenetic state of specific retroelements can predict chronological age remains …

Organismal aging is inherently connected to the aging of its constituent cells and systems.
Reducing the biological age of the organism may be assisted by reducing the age of its cells …

The recent unprecedented progress in ageing research and drug discovery brings together
fundamental research and clinical applications to advance the goal of promoting healthy …

Estimators of biological age hold promise for use in preventive medicine, for early detection
of chronic conditions, and for monitoring the effectiveness of interventions aimed at …