Artificial intelligence (AI) is a term we see and hear a lot nowadays; you could say it’s trending and becoming a household term. It is associated with the things surrounding us daily: home electronics, cars, public transportation, shopping, and more. This term is inclusive and encompasses intelligent products designed to make our lives easier and… Read More
Businesses in the life sciences sector are navigating complex decisions regarding their laboratory data management. They face demands for data accuracy, compliance, and integrity that drive decisions about data platform use. A platform serves as a bespoke hub for data regardless of which or how many data sources are involved. Your platform choice can be… Read More
Good manufacturing practices are the underpinning of every life sciences business. At the heart of the organization, ensuring end user safety is everyone’s goal. In many organizations, the quality management system (QMS), learning management system (LMS), and manufacturing execution system (MES) work together in service of this goal. This blog describes the essential functions of… Read More
Research and development in the pharmaceutical and biotechnology industries is fast paced and getting faster, while the pressure is on to decrease spending and improve time to market. There has been much discussion about increasing efficiency and precision in the preclinical phase to support the overall goal of getting treatments to market faster at a… Read More
Lab automation is transforming the life sciences industry in fields such as synthetic biology and genetic engineering by streamlining processes and supercharging research and development. These advances will transform the practices of medicine, manufacturing, and agriculture, among others. Achieving lab automation may seem like a utopian dream, but it’s not as far off as you… Read More