Chang Chen

This paper develops MechanoAge, a machine learning tool that identifies breast cancer risk based on single-cell mechanical properties and introduces mechano-RISQ to quantify risk-related mechanical deviations.

The paper introduces parsimonious models to improve gene expression data accuracy by selectively recovering signal and discarding noise, achieving significant accuracy gains with minimal computational cost.