Hans Armin Kestler

The paper improves epigenetic age estimation by developing a TFMethyl Clock model that incorporates transcription factor binding sites, revealing DNA methylation changes linked to aging.

This study shows AURKA promotes neuroblastoma malignancy and is suppressed by the PP2A pathway, with AURKA cooperating with MYCN in tumor progression.

This study uses patient-derived organoids to predict drug response and track tumor evolution in pancreatic cancer.

The paper identifies minimal node sets that determine network dynamics, finding that dynamic decision-makers are not static hubs.

This paper uses deep learning to classify nociceptive pain levels from physiological signals, achieving higher accuracy than traditional feature-based methods.

The paper compares transcriptomes of breeders and non-breeders in naked mole-rats and guinea pigs to show socially suppressed sexual maturation and links between reproduction and aging.

The paper develops a semantic classifier system that uses biological knowledge to generate hypotheses about genetic configurations of phenotypes from datasets.