Innovations in microfluidic modelling of the human body have enabled medical researchers to study pathology to a level of accuracy and efficiency that was previously unattainable.
These ‘disease-on-chip’ models build on previous advances in organ-on-chip technology, creating devices that can model disease processes specific to each modelled organ. Notable disease-on-chip innovations include Kambez Benam and colleagues’ model of human lung inflammation, and the device mimicking arterial thrombosis created by Pedro Costa and collaborators at the Universities of Twente and Utrecht. The key advantage of disease-on-chip technology over conventional disease models is that it facilitates assays that are both physiologically relevant and high-throughput. (more…)
Over the last two years, I have seen an increased interest in using simulation software to better understand microfluidics processes. The two most common and important reasons for considering integration of simulation software into microfluidics processes have been to reduce device cost and improve quality control. (more…)
Drug discovery is a lengthy and costly endeavor. In fact, the cost of drug development has been rising year after year as result of a lack of physiological models that can accurately predict the effect of a drug in humans. Therefore, risky drugs may enter human clinical trials while promising drugs might be eliminated at early stages; both scenarios lead to a sizable financial loss. Organ-on-a-chip devices have emerged to combat this, and are poised to fill this gap where the conventional cell-based assays and animal testing fail1,2. These technologies build on sophisticated microfluidic systems to culture human cells in a precisely controlled microenvironment to coordinate cells to work together and to recapitulate organ-level function that would otherwise be difficult to mimic in a traditional monolayer culture environment. The ultimate goal is to accurately model human physiology for precision drug testing.