Detection Of Senescence Using Machine Learning Algorithms Based On Nuclear Features

This article discusses the use of nuclear features to develop machine-learning algorithms that can accurately detect senescent cells. These algorithms require less computational power than traditional methods and can be adapted for use with open-source image analysis software. The use of these senescence classifiers can aid in the discovery and validation of senotherapies and better stratify patients.