Lea Duempelmann

Tracing Endometriosis: Coupling deeply phenotyped, single-cell based Endometrial Differences and AI for disease pathology and prediction

The paper creates a large single-cell endometrial atlas and uses AI to identify gene expression and receptor-ligand changes associated with endometriosis, developing predictive models for disease severity.

A fully automated deep learning pipeline for high-throughput colony segmentation and classification

The paper develops an automated deep learning pipeline to segment and classify yeast colonies, achieving 100x faster quantification than manual methods.