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

The rapidly increasing aging prevalence, complexity, and heterogeneity pose the scientific
and medical communities in front of challenges. These are delivered by gaps between basic …

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 …

Clocks that measure biological age should predict all-cause mortality and give rise to
actionable insights to promote healthy aging. Here we applied dimensionality reduction by …

Background & aims The interaction between diet, inflammation, and oxidative stress
significantly influences aging, but the available evidence has been limited. We evaluated …

Immunopsychiatric field has rapidly accumulated evidence demonstrating the involvement of
both innate and adaptive immune components in psychotic disorders such as …

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

Physical activity and several pharmacological approaches individually combat age-
associated conditions and extend healthy longevity in model systems. It is tantalizing to …

The inexorability of the aging process has sparked the curiosity of human beings since
ancient times. However, despite this interest and the extraordinary scientific advances in the …

Alzheimer's disease (AD) is a rapidly growing global concern due to a consistent rise of the
prevalence of dementia which is mainly caused by the aging population worldwide. An early …