Edward M. Schwarz

The paper identifies immune checkpoint proteins as biomarkers for predicting adverse outcomes in Staphylococcus aureus bone infections using a humanized mouse model and clinical data.

This paper introduces a deep learning model for automated joint space detection in micro-CT images of mouse paws, significantly improving segmentation accuracy compared to semi-automated methods.

This study investigates the role of Zbtb16 in lymphatic drainage by generating and analyzing Zbtb16fl/fl mice with telocyte-specific deletion, showing partial impairment in lymphatic clearance.

This study identifies Efhd1+ telocytes in the synovial lymphatic system and shows their role in lymphatic drainage and protection against inflammatory-erosive arthritis.

This paper develops a semi-automated cell tracking protocol to quantify neutrophil swarming in a mouse femur model with and without S. aureus infection, showing increased speed, displacement, and directionality in infected mice.

This study compares bioluminescent imaging and dual energy X-ray absorptiometry for longitudinal tumor burden quantification in a murine PDAC model, finding DEXA superior for tracking tumor growth and correlating with final tumor mass.