Advanced age is the main common risk factor for cancer, cardiovascular disease and
neurodegeneration. Yet, more is known about the molecular basis of any of these groups of …

The prediction of chronological age from methylation-based biomarkers represents one of
the most promising applications in the field of forensic sciences. Age-prediction models …

The SARS-CoV-2 infection determines the COVID-19 syndrome characterized, in the worst
cases, by severe respiratory distress, pulmonary and cardiac fibrosis, inflammatory cytokine …

Epigenetic clock, a highly accurate age estimator based on DNA methylation (DNAm) level,
is the basis for predicting mortality/morbidity and elucidating the molecular mechanism of …

Regression models are often used to predict age of an individual based on methylation
patterns. Artificial neural network (ANN) however was recently shown to be more accurate …

The analysis of DNA methylation has become an established method for chronological age
estimation. This has triggered interest in the forensic community to develop new methods for …

Chronological age represents the main factor in donor selection criteria for organ
transplantation, however aging is very heterogeneous. Defining the biological aging of …

Aging is a progressive time-dependent biological process affecting differentially individuals,
who can sometimes present exceptional longevity. Epigenetic alterations are one of the …

The recent development of small, single‐amplicon‐based benchtop systems for
pyrosequencing has opened up a host of novel procedures for applications in forensic …

Forensic DNA phenotyping refers to an emerging field of forensic sciences aimed at the
prediction of externally visible characteristics of unknown sample donors directly from …