The Application of Organ-on-a-Chip Technology for Disease Modeling and Drug Testing
Organ-on-chip (OoC) technology represents a significant advancement in the field of biomedical engineering, merging microfluidics with live cellular architectures to create dynamic models of human organ systems.This innovation extends beyond traditional methodologies by incorporating real-time analytics and advanced microfabrication techniques to simulate precise organ functionalities and inter-organ communications.Particularly, the integration of liver, heart, and kidney chips has enhanced drug metabolism studies, cardiotoxicity evaluations, and nephrotoxicity screenings, providing early detection capabilities that significantly reduce late-stage drug development failures.The paper discusses novel multi-organ models that effectively replicate systemic human responses, offering insights into complex disease mechanisms and drug interactions.These include sophisticated models for diabetes management and infectious disease research, which utilize microfluidic systems to accurately mimic disease pathology and treatment responses.Additionally, the paper introduces regulatory developments and standardization challenges within the OoC field, emphasizing the role of the FDA's Innovative Science and Technology Approaches for New Drugs (ISTAND) program in fostering regulatory acceptance of OoC technologies.The outlook of OoC technology is explored, highlighting the potential integration with artificial intelligence to enhance predictive modeling and therapeutic personalization.This technology promises to revolutionize drug development and personalized medicine by providing more accurate, efficient, and ethical research methodologies.Continued interdisciplinary collaboration and regulatory innovation are identified as crucial for realizing the full potential of OoC systems in advancing human health.
Publication Details
- Journal
- Acta Scientific Medical Sciences
- Published
- 2025-07-01
- DOI
- https://doi.org/10.31080/asms.2025.09.2110
- Primary Topic
- 3D Printing in Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00