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.
StarDrop is a suite of software that helps you to deliver optimally balanced, effective drugs - fast StarDrop works by evaluating complex data, which is often uncertain because of experimental variability or predictive error. In scoring this data, it brings confidence and intuitive simplicity to decision-making: guiding and validating the direction you take and which compounds you prioritise. Its instantly interactive tools t…
