Abstract

Personalized 3D Vessel-on-a-Chip and Digital Twins for Thrombotic Risk Assessment and Drug Screening

Lining (Arnold) Ju, Professor and Snow Fellow, School of Biomedical Engineering, The University of Sydney

This presentation will introduce state-of-the-art 3D microvessel-on-a-chip platforms designed to recapitulate patient-specific vascular anatomies. By integrating microfluidics, hydrogels, and 3D bioprinting, our laboratory has developed "Physical Twins" that model complex hemodynamic flow disturbances and biomechanical thrombosis. Combined with AI-driven "Digital Twins" mapped from clinical CT angiography, this advanced organ-on-a-chip technology enables the personalized assessment of stroke risk, high-throughput antithrombotic drug screening, and the translation of mechanobiology insights into rapid point-of-care diagnostics.