In the field of cancer research, the ability to study the response of individual cells to different drugs is critical. Traditional methods of drug screening often involve large populations of cells, making it difficult to understand the variability of cellular responses. However, recent advances in...
A major challenge in drug development pipeline lies in avoiding organ-specific toxicity. Microfluidic in vitro models for drug toxicity screening such as organ on chips can play an important role in this sense by providing robust methods for evaluating cellular responses in a controllable microenvironment....
The emergence of machine learning techniques to help scientific research has opened new windows of opportunities for researchers and has empowered the research community with unprecedented prediction capabilities. Machine learning techniques are finding their way into the microfluidic domain helping researchers to boost their data...