Building a Backbone for Machine Learning Increases Speed of Discovery by 230%
公司规模
SME
地区
- America
国家
- United States
产品
- Benchling
技术栈
- Machine Learning
- Computational Metabolomics Platform
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Innovation Output
技术
- 分析与建模 - 机器学习
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 医疗保健和医院
- 生命科学
适用功能
- 产品研发
- 质量保证
用例
- 预测性维护
- 机器状态监测
服务
- 数据科学服务
- 系统集成
关于客户
Enveda Biosciences is a company that uses the power of nature’s chemistry to inspire new medicines for the toughest diseases. Their core technology is a computational metabolomics platform, which works like a powerful chemical search engine to unearth millions of new chemicals from mass spectral data, link them to activity in preclinical assays, and inspire drug-like modifications at scale. They are using this technology to create a diverse range of chemical libraries to target hitherto undruggable disease mechanisms, and “reverse translate” active leads in long-used medicinal plants into successful drugs.
挑战
Enveda Biosciences, a company that uses a computational metabolomics platform to discover new chemicals for drug development, was facing challenges in organizing and scaling their foundational data. The company was generating a large amount of structure-activity relationship (SAR), biomarker, and mechanistic readout data that they could no longer manage with siloed data solutions. They needed a data platform that could automatically structure experimental data and feed it into their machine learning pipelines. The platform also needed to be intuitive and user-friendly, as well as capable of handling robust and iterative data models customized to Enveda’s use case.
解决方案
Enveda Biosciences chose Benchling as their data platform solution. Benchling's user-friendly interface and high adoption rates made it an ideal choice for Enveda. The platform also offered a user-configurable data model that could handle the high volume of multi-dimensional data that Enveda needed to process. Benchling's solution was designed to scale, which meant that Enveda could rely on it as their data production increased exponentially. The platform also offered solutions for process managers and larger teams, making it a future-proof choice for Enveda. Benchling's centralized data storage replaced disconnected Google Slides and Excel sheets, providing Enveda with a centralized source of truth. The platform's custom data model allowed lab results to be piped directly into machine learning models, saving scientists from time-consuming data cleaning.
运营影响
数量效益
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