Organiod-on-chip systems for drug screening and disease modeling
Abstract
Organoid-on-chip systems represent a transformative advancement in preclinical research, offering an innovative platform that integrates the biological complexity of organoids with the precise microengineering of organ-on-chip technologies. These hybrid systems recreate physiologically relevant tissue microenvironments, enabling dynamic control of biochemical, mechanical, and fluidic conditions that closely mimic in vivo physiology. By incorporating patient-derived organoids onto microfluidic chips, organoid-on-chip platforms provide unprecedented opportunities for personalized drug screening, enabling the evaluation of drug efficacy, toxicity, and pharmacokinetics in models that retain individual-specific genetic and phenotypic characteristics. This approach enhances predictive accuracy compared with conventional 2D cell cultures and animal models, thereby reducing translational gaps in drug development. In disease modeling, organoid-on-chip technology allows for the simulation of complex human disease states, such as cancer progression, metabolic disorders, neurodegenerative diseases, and infectious diseases. The microfluidic environment supports long-term culture, real-time monitoring, and multi-organ interactions, facilitating deeper insights into disease mechanisms. Additionally, integration with sensors and imaging modalities enables high-resolution analysis of cellular responses and molecular pathways.Overall, organoid-on-chip systems offer a powerful, scalable, and physiologically relevant platform for drug discovery, toxicity assessment, and mechanistic disease studies. Their ability to simulate patient-specific responses positions them as a promising tool for precision medicine, accelerating the development of safer and more effective therapeutics.
Fields of Study & Subjects
3D Printing in Biomedical Research
Microfluidic and Capillary Electrophoresis Applications
Tissue Engineering and Regenerative Medicine
Publication details
- Journal / source
- World Journal of Advanced Research and Reviews
- Publication date
- 31 January 2026
- Language
- EN