Machine learning (ML) is increasingly used in clinical oncology to diagnose cancers, predict
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …

Modern health care faces several serious challenges, including an ageing population and
its inherent burden of chronic diseases, rising costs and marginal quality metrics. By …

Background Epigenetic clocks can track both chronological age (cAge) and biological age
(bAge). The latter is typically defined by physiological biomarkers and risk of adverse health …

Over the past thirty years, the importance of chemokines and their seven-transmembrane G
protein-coupled receptors (GPCRs) has been increasingly recognized. Chemokine …

Epigenetics has transformed our understanding of the molecular basis of complex diseases,
including cardiovascular and metabolic disorders. This review offers a comprehensive …

According to the Geroscience concept that organismal aging and age-associated diseases
share the same basic molecular mechanisms, the identification of biomarkers of age that can …

DNA methylation comprises a cumulative record of lifetime exposures superimposed on
genetically determined markers. Little is known about methylation dynamics in humans …

Attention-deficit/hyperactivity disorder (ADHD) is a common and debilitating
neurodevelopmental disorder influenced by both genetic and environmental factors …

Microarray technology has been used to measure genome-wide DNA methylation in
thousands of individuals. These studies typically test the associations between individual …

DNA cytosine methylation (5-methylcytosine, 5mC) is a predominant epigenetic modification
that plays a critical role in a variety of biological and pathological processes in mammals. In …