Erin N. Tevonian

This paper develops a vascularized liver microphysiological system to model hepatic insulin resistance and monocyte infiltration, showing altered metabolism, vascular changes, and immune cell recruitment.

This study uses a human liver microphysiological system to investigate how insulin, glucose, and free fatty acids contribute to hepatic insulin resistance and its reversibility.

The paper develops a machine learning framework to identify optimal experimental conditions for improving the translatability of microphysiological systems to in vivo contexts, using MAFLD as a case study.