Uta Dahmen

The paper identifies sepsis subtypes in blood and liver and shows that CXCR2 blockade improves survival only in specific subtypes, highlighting the need for precision therapy.

The paper develops a deep learning pipeline using U-Net models to segment hepatic vessels and lobules in histological images, achieving high Dice scores for various structures.

This study compares lobular geometry and CYP450 zonation across four species using whole slide imaging, identifying species differences and determining the minimum number of lobules needed for statistical analysis.

The paper investigates how the acto-myosin system regulates YAP activity during liver regeneration in response to bile acid overload.

ModuleDiscoverer identifies regulatory modules in protein-protein interaction networks using gene expression data and validates them with SNP data from GWAS.