ケーススタディ：Sartorius社、データ管理・モデリング・解析をサポートするプラットフォームによる細胞株構築の加速

細胞株構築において生成される膨大かつ多様なデータは構造化されておらず、十分に活用されていません。Genedata Bioprocess^®とCell Insights by Umetrics^® Studioによるin silicoモデリングは、データに基づいた洞察を得るプロセスを自動化し、細胞株構築を大幅に加速します。

Creating optimal cell lines efficiently and with the desired quality for manufacturing biological products remains a lengthy and expensive process, primarily reliant on wet lab experiments. Throughout this process, copious amounts of diverse data are generated, yet often remain unstructured and underutilized. To address this challenge, the integration of the structured data management backbone of Genedata Bioprocess^® with the in silico modeling capabilities of Cell Insights by Umetrics^® Studio offers a powerful solution. By leveraging this combination, users can gain automatic, data-driven insights and significantly accelerate CLD processes, ultimately advancing the development of important drugs for patients.