UCB and Domino Data Lab Modernize Statistical Computing in Life Sciences
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.
We hope you enjoyed this article.
Consider subscribing to one of several newsletters we publish like Life AI Weekly.
Also, consider following us on social media:
More from: Healthcare & Life Sciences
Subscribe to Life AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Governing the Future: A Strategic Framework for AI Adoption in Financial Institutions
This whitepaper explores the transformative impact of artificial intelligence on the financial industry, focusing on the governance challenges and regulatory demands faced by banks. It provides a strategic framework for AI adoption, emphasizing the importance of a unified AI approach to streamline compliance and reduce operational costs. The document offers actionable insights and expert recommendations for banks with fewer than 2,000 employees to become leaders in compliant, customer-centric AI.
Read more