Erik M. Shapiro

This study investigates how material composition and implantation site affect in vivo degradation rates of tissue engineering devices using CT-visible radiopaque composites.

This study examines how porous device design influences fibroblast activation into myofibroblasts, showing that polymer degradation and nanoparticle surface features significantly impact fibrotic responses.

This paper introduces HOLIgraph, a graph neural network model that predicts OATP1B1 inhibitors by integrating ligand features and protein-ligand interactions, achieving over 90% balanced accuracy.

This paper develops a radiopaque 3D printed scaffold using Bi2O3-doped PCL for in vivo monitoring with X-ray technologies, showing good radiographic visibility and mechanical properties.

This study tests the feasibility of using computed tomography (CT) to characterize porosity in biomedical implants under physiological conditions in pre-clinical systems.

This study shows that degradation products of biomaterials affect Schwann cell differentiation and myelination independently of surface properties.

This study uses MRI and iron oxide particles to show age-related decreases in neural progenitor cell migration and labeling in the rostral migratory stream and dentate gyrus.