Accelerating Thanokine™based therapeutics with a modern data infrastructure
公司规模
SME
地区
- America
国家
- United States
产品
- Benchling
技术栈
- Cloud Computing
- Data Warehousing
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
技术
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 生命科学
- 医疗保健和医院
适用功能
- 产品研发
- 质量保证
用例
- 预测性维护
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
Inzen Therapeutics is a biopharma startup based in Cambridge, MA. The company focuses on the process of cell death as the start of therapeutics discovery. Their lead programs are designed to kill tumor cells and direct Thanokines™ from the dying tumor to rewire the microenvironment to generate strong immune responses. There are further indications in fibrosis and regeneration. The company's Data Science team plays a crucial role in extracting knowledge from a myriad of lab activities. However, they were facing challenges in integrating wet lab and informatics teams.
挑战
Inzen Therapeutics, a biopharma startup, was facing challenges in integrating wet lab and informatics teams. The scientists were using different terminologies to describe the same processes and data, which was slowing down data integration and discovery. They were unable to track samples through the entire experiment lifecycle, which hindered their understanding of the cell of interest. As a small startup with limited resources, they needed a solution that was intuitive to use and easy to maintain.
解决方案
Inzen Therapeutics implemented Benchling, an electronic lab notebook (ELN) and laboratory information management system (LIMS) solution. The implementation process was collaborative and streamlined, with Benchling providing an Implementation Manager to work with Inzen to design and implement a custom data structure in just three months. With Benchling, Inzen's scientists have greater visibility into all of their data and more confidence in their insights. All of their high-value samples are traceable from the moment they are registered, and the full history of manipulations as well as any downstream samples is visible at a glance, even if they were generated by different scientists working months apart. All of the data is now standardized, effortlessly searchable, and easy to pull out of Benchling’s data warehouse.
运营影响
数量效益
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