Isabella Lurje

MoPaDi generates counterfactual explanations for histopathology images to reveal morphological features driving classifier predictions, improving interpretability in digital pathology.

This study introduces a medical training program with an application tunnel to reduce stress in mice during frequent intraperitoneal injections and blood sampling.

The paper combines stem cell models and computational predictions to identify flavin cofactors as therapeutic targets for metabolic liver dysfunction.