How to Optimize In Vitro and In Vivo Data Analysis in Drug Discovery
Assay development, high-throughput screening (HTS), and in vivo testing are some of the first steps researchers take to evaluate the effects of potential drug candidates on cellular, molecular, or biochemical processes. Assay quality, and the quality of data collected, influences the effectiveness of the drug discovery steps to follow.
Collaboration between early and later stage analytical teams throughout the drug development process is all about data analytics and efficient sharing of key analytical results generated using many different innovative and specialized analytical technologies.
Digital innovation has the potential to transform early stages of drug discovery by allowing researchers to view and compare data across functions. And they can accomplish this task with one platform.
Download this whitepaper and learn how to how to optimize In Vitro and In Vivo Data analysis in drug discovery with a single platform.