High throughput experiments often involve automated systems and robotics to handle multiple samples simultaneously. These systems can perform tasks such as mixing, heating, and analyzing samples with high precision and repeatability. Additionally, advanced data analytics and machine learning algorithms are employed to analyze the large datasets generated, identifying trends and correlations that might not be evident through manual analysis.
