ケーススタディ：Genmab社、トランスレーショナルな洞察を見出すためのデータサイエンス戦略

本資料では、Genmab社がGxP環境下で複数のソースから得られた研究開発データの検索性・アクセス性・ユーザビリティを向上させ、疾患メカニズム、最も有効な治療法、そして最も治療効果が期待できる患者集団について、理解を深めている例を紹介しています。

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.