Although chronological age correlates with various age‐related diseases and conditions, it
does not adequately reflect an individual's functional capacity, well‐being, or mortality risk …

The restriction of calories, branched-chain amino acids, and methionine have all been
shown to extend lifespan in model organisms. Recently, glycine was found to boost …

Aging varies significantly among individuals of the same chronological age, indicating that
biological age (BA), estimated from molecular and physiological biomarkers, may better …

Aging affects most living organisms and includes the processes that reduce health and
survival. The chronological and the biological age of individuals can differ remarkably, and …

XAI is a rapidly progressing field of machine learning, aiming to unravel the predictions of
complex models. XAI is especially required in sensitive applications, eg in health care, when …

DNA methylation (DNAm)-based age clocks have been studied extensively as a biomarker
of human ageing and a risk factor for age-related diseases. Despite different tissues having …

Alzheimer's disease (AD) is an incredibly complex and presently incurable age-related brain
disorder. To better understand this debilitating disease, we collated and performed a meta …

Epigenetic aging clocks are computational models that predict age using DNA methylation
information. Initially, first-generation clocks were developed to make predictions using CpGs …

Maintenance of protein homeostasis degrades with age, contributing to aging-related
decline and disease. Previous studies have primarily surveyed transcriptional aging …

A reliable model of biological age is instrumental in the field of geriatrics and gerontology.
This model should account for the heterogeneity and plasticity of aging and also accurately …