‘Smart labs’ is a term that is incredibly prevalent in the world of pharma data management. But what are the building blocks of these laboratories that are proving ever-more important in modern research?

Key opinion leaders discuss how to approach challenges and opportunities which arise when looking to optimise lab processes.

Key opinion leaders from GSK and the University of Southampton discuss the steps needed to reach the lab of the future.

In this Insight article, we explore SiLA: the consortium for Standardisation in Lab Automation, and look at some of the opportunities and challenges presented in the vision for a fully integrated laboratory environment.

The quality control labs of the future have been envisioned as fully-integrated environments, automated through the capture of data in real-time. By developing labs with digital output in mind, researchers at all scales can plan for the future and refine their approach to lab digitalisation.

The pharma industry is embracing digitalisation of the lab. Recent advancements in paperless technology and AI offer a peek into what the smart labs of the future will look like.

Key opinion leaders discuss the latest trends and challenges in laboratory automation and digitalization. Key insights include an explanation of Roche's 'Levers of Production' method, the challenges of legacy systems and the possibility of digitalization overload.

The pharmaceutical industry is working on improving the usability of automation platforms but challenges remain.

The foundation of any 21st century smart lab is data management and connectivity.