Tomáš Škovránek

This paper introduces a physics-informed epigenetic clock using DNA methylation entropy and machine learning, achieving high accuracy in age prediction and associating age acceleration with clinical conditions.

This paper introduces a fractional calculus framework to model DNA methylation dynamics, showing improved fit compared to standard exponential models.