Rethinking lab informatics for the next generation of therapeutics
Biopharma needs informatics platforms that are unified, flexible, and intelligent – ready not just for today’s science, but for what is coming next
Lab informatics harnesses cutting-edge technologies to manage, analyze, and interpret the vast amounts of data generated in lab settings. It encompasses the use of advanced software systems, including laboratory information management systems (LIMS), electronic laboratory notebooks (ELN), and scientific data management systems (SDMS), to streamline workflows and facilitate collaboration. Increasingly, lab informatics integrates machine learning (ML) and artificial intelligence (AI) algorithms to automate data analysis, predict trends, and optimize experimental processes. Explore how lab informatics empowers researchers and scientists to derive actionable insights, accelerate discoveries, and drive advancements across diverse scientific fields.
Biopharma needs informatics platforms that are unified, flexible, and intelligent – ready not just for today’s science, but for what is coming next