Insights Into The AVA™ Emulation System: Ushering In A New Era Of Human-Relevant Drug Discovery

Drug development faces a persistent challenge: promising therapies often fail in clinical testing because preclinical models do not accurately predict human biology. Human-relevant approaches such as Organ-on-a-Chip technology are helping bridge that gap, but widespread adoption has been limited by complexity, scalability, and reproducibility concerns. The introduction of a self-contained Organ-on-a-Chip workstation marks a significant step toward making these advanced models more accessible across pharmaceutical, biotechnology, and academic research environments. By simplifying workflows and enabling more consistent results, researchers can generate actionable insights earlier in development, potentially improving decision-making and reducing costly late-stage failures.

Jim Corbett shares his perspective on the evolution of the field, the challenges that have hindered broader adoption, and why expanding access to predictive human biology models could help reshape the future of drug discovery.