Leonie Küchenhoff

This paper introduces Karenina, a framework that evaluates biomedical AI using expert knowledge across multiple dimensions beyond traditional scoring.

This paper performs a cross-organ meta-analysis of single-cell transcriptomic data to identify shared and organ-specific gene expression programs in fibrotic diseases.

The paper introduces MethSCAn, a tool for analyzing scBS data that improves methylation quantification and DMR detection, enhancing cell type discrimination with fewer cells.

This study uses base editors and AAVMYO to correct Rbm20 mutations in cardiomyocytes, improving splicing and cardiac function in mouse models of dilated cardiomyopathy.