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Improving Protein Purification through Data Science: A Case Study on Alexion Pharmaceuticals
技术
- 分析与建模 - 大数据分析
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 设备与机械
- 药品
适用功能
- 产品研发
用例
- 时间敏感网络
服务
- 数据科学服务
- 系统集成
挑战
Alexion Pharmaceuticals 是一家生物制药公司，其下游工艺开发业务面临着多项挑战。该公司一直在与数据孤岛作斗争，因为仪器供应商没有相互集成，导致手动数据移动。供应商专有的数据格式需要他们特定的工具，这阻碍了第三方数据标准化。此外，信息学主管必须从多个位置手动移动、更新和整理文件。科学家们还被要求将峰信息输入到分析软件中。此外，现有的仪表板工具具有陡峭的学习曲线并且无法管理元数据。科学家们不断需要测试他们的假设并从异构数据源中获得有用的见解。
关于客户
Alexion Pharmaceuticals, Inc. 是一家生物制药公司，致力于通过开发和商业化改变生命的疗法，为患有毁灭性罕见疾病的患者提供服务。该公司的产品重点包括补体级联中的新分子和靶点的研究以及血液学、肾病学、神经病学、代谢学和心脏病学等核心治疗领域的开发工作。 Alexion 利用生物疗法解决罕见疾病，改变了许多遭受全身性重症肌无力 (gMG) 和低磷酸酯酶症 (HPP) 等毁灭性疾病影响的患者的生活。
解决方案
Alexion Pharmaceuticals 采用 Tetra 数据平台 (TDP) 来克服这些挑战。 TDP 传输、标准化和协调云中的孤立数据。新数据通过 ElasticSearch 建立索引并构建到 SQL 表中以支持搜索和查询。 TetraScience 的管道对下游可视化、存储或 AI/ML 见解的数据进行标准化和结构化。数据从源流到云端，再到 ELN 和数据科学目标，无需任何手动干预。 TetraScience API 可用于将统一数据导入数据科学应用程序。在 Streamlit 等可定制的数据科学应用程序中使用这些数据使科学家能够完全控制色谱图叠加和集成。
运营影响
数量效益
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