Developing new drugs relies on testing compounds, often in the millions in the case of larger pharmaceutical drug discovery set-ups.
Automated compound management has been on an evolutionary path. Knowing the importance of good compound management practices to support the research and development phase of drug discovery is non-negotiable to success.
But how have things changed in 2017, with technologies taking us to anywhere we want to go on the automation-to-artificial-intelligence spectrum?
What are the secrets to incorporating technology in compound management workflow in a way that makes sense? Perhaps more importantly, what are the benefits we as an industry can expect to see?