Building a Data Science Strategy for Translational Insight Generation at Genmab
Discover how Genmab realizes its translational research vision by enhancing its data science ecosystem with Genedata Profiler, the data integration and analytics platform for precision medicine development.
This case study explains how the platform improves the findability, access, and usability of multi-source R&D data in a GxP-validated environment for translational insight generation. Ultimately, this solution allows Genmab to drive a deeper understanding of disease mechanisms, the identification of their most efficacious therapies in development, and the patients most likely to benefit from them.
Who should read it?
Experts from biopharma and biotech companies seeking to:
- Break data silos
- Improve data FAIRness, and
- Drive productivity, innovation, and efficient translational research.