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 …

Dysregulation of epigenetic mechanisms have been depicted in several pathological
consequence such as cancer. Different modes of epigenetic regulation (DNA methylation …

Abstract Machine learning (ML) models are used in the interdisciplinary field of bio-ML to
solve biological challenges. The diagnosis and treatment of cancer can benefit from the …

Abnormal penile foreskin development in hypospadias is the most frequent genital
malformation in male children, which has increased dramatically in recent decades. A …

Purpose. Age can be an important clue in uncovering the identity of persons that left
biological evidence at crime scenes. With the availability of DNA methylation data, several …

Background The field of epigenomics holds great promise in understanding and treating
disease with advances in machine learning (ML) and artificial intelligence being vitally …

Recent advancements in omics techniques have revolutionised the study of biological
systems, enabling the generation of high‐throughput biomolecular data. These innovations …

This research paper proposes a novel approach for age and gender detection using a deep
convolutional neural network (DCNN). The increasing prevalence of age and gender …

With the rapid development of agricultural product sales data, the traditional prediction
model cannot meet the processing needs. Based on deep learning theory, an improved ICM …

Age prediction using biomarkers has been extensively studied which can be helpful in
forensic and health sciences. DNA methylation has been demonstrated to be the most …