UCB and Domino Data Lab Modernize Statistical Computing in Life Sciences

UCB and Domino Data Lab have announced a collaboration to modernize the Statistical Computing Environment for life sciences, integrating advanced cloud technologies and data science tools.

UCB and Domino Data Lab have announced a strategic collaboration to modernize the Statistical Computing Environment (SCE) in the life sciences sector, announced in a press release. This initiative aims to transform the legacy SCE into a unified, scalable, and flexible platform to meet the evolving demands of clinical research and regulatory compliance.

The collaboration will see the integration of diverse analytical tools such as SAS, R, and Python within a modern cloud-enabled environment. This platform will leverage Domino's expertise in cloud technologies and open-source support, combined with UCB's clinical research and regulatory knowledge. The goal is to enhance research capabilities and maintain compliance with industry standards like GxP, FDA 21 CFR Part 11, and GDPR.

The modernized SCE is expected to provide immediate benefits to researchers and data scientists by offering streamlined access to state-of-the-art tools. This enhancement aims to expedite the development of differentiated therapies, offering faster and more tailored treatment options for patients with severe diseases. Additionally, the integration of advanced data science will enable more efficient clinical studies, leveraging large-scale data analysis to improve predictions about efficacy and tolerability.

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