EMBL 利用深度学习增强微生物学方法
公司规模
1,000+
地区
- Europe
国家
- France
- Germany
- Italy
- Spain
- United Kingdom
产品
- DeepCycle
- Neu.ro Platform
技术栈
- Deep Learning
- AI
实施规模
- Enterprise-wide Deployment
影响指标
- Digital Expertise
- Innovation Output
技术
- 分析与建模 - 计算机视觉软件
- 分析与建模 - 机器学习
适用行业
- 医疗保健和医院
- 生命科学
适用功能
- 产品研发
用例
- 计算机视觉
- 质量预测分析
服务
- 数据科学服务
关于客户
EMBL 成立于 1974 年，是欧洲生命科学领域的旗舰实验室。它是一个政府间组织，拥有 80 多个独立研究小组，涵盖分子生物学的各个领域。EMBL 在六个地点开展业务：海德堡、巴塞罗那、汉堡、格勒诺布尔、罗马和 EMBL-EBI 欣克斯顿。该组织以其分子生物学研究而闻名，并致力于开发该领域的新技术和方法。EMBL 的研究由来自 80 多个国家的 1600 多名员工进行，其预算由其成员国的公共研究资金资助。
挑战
欧洲生命科学旗舰实验室 EMBL 的研究人员希望利用深度学习来增强传统微生物学方法。他们的目标是重建构成细胞生命周期的复杂生物现象。由于细胞生命周期的复杂性和传统微生物学方法的局限性，这是一个重大挑战。EMBL 在欧洲设有六个站点，拥有 80 多个独立研究小组，涵盖分子生物学的各个领域。挑战在于开发一种解决方案，可以准确模拟细胞生命周期并提供对复杂生物过程的洞察。
解决方案
EMBL 与全球 AI 研究人员合作开发了 DeepCycle，其中包括 Neuromation 首席研究官 Sergey Nikolenko 和高级 AI 研究员 Alexander Rakhlin。DeepCycle 是一种 AI 驱动的技术，可以模拟细胞的生命周期——它们如何生长和分裂。该解决方案是在 Neu.ro 平台上开发的，该平台旨在开发和部署 AI 和机器学习解决方案。使用大约 260 万张犬肾细胞的显微镜图像，这种新颖的深度学习模型能够仅基于视觉数据重建复杂的生物现象。这种创新方法在癌症研究和其他医疗保健领域具有潜在的应用价值。
运营影响
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