Adaptive Biotechnologies 利用 Azure 打造免疫医学平台
技术
- 分析与建模 - 机器学习
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 教育
- 设备与机械
适用功能
- 产品研发
- 质量保证
用例
- 自动化疾病诊断
- 预测性维护
服务
- 数据科学服务
- 培训
关于客户
Adaptive Biotechnologies 成立于 2009 年，是一家商业阶段的生物技术公司，总部位于华盛顿州西雅图。该公司致力于利用适应性免疫系统的固有生物学来改变疾病的诊断和治疗。 Adaptive Biotechnologies 建立了一个专有的免疫医学平台，能够大规模解码适应性免疫系统的遗传语言。该公司的创新方法包括对免疫细胞的基因组进行测序，以读取个体和整个人群的免疫系统。 Adaptive Biotechnologies 拥有动态临床免疫组学数据库，其中包含超过 470 亿个免疫受体。
挑战
Adaptive Biotechnologies 是一家商业阶段的生物技术公司，一直致力于利用适应性免疫系统的生物学来改变疾病的诊断和治疗。该公司建立了一个专有的免疫医学平台，可以解码适应性免疫系统的遗传语言。然而，挑战在于综合这个庞大的生物学系统并充分利用所生成的大规模临床免疫组学数据库的价值。该公司需要大规模计算资源和机器学习能力来释放研究数据的全部潜力。免疫系统的复杂性和 Adaptive 动态临床免疫组学数据库（其中包括超过 470 亿个免疫受体）生成的海量数据带来了重大挑战。
解决方案
Adaptive Biotechnologies 向 Microsoft Azure 寻求计算、存储和机器学习功能。该公司采用 Azure 来应用机器学习，以指数方式加速其从临床免疫组学数据库中获得新颖见解的能力。该平台用于提供从样本采集到处理的端到端支持，以生成针对特定基因组免疫反应的测序数据。然后，通过在使用 Azure 虚拟机创建的虚拟机上运行的自动化内部生物信息学管道来处理数据。自适应研究人员使用 Azure 机器学习和 Azure Kubernetes 服务 (AKS) 来训练和评估模型。该公司将大量 TB 的源数据和实验数据存储在 Azure Blob 存储中，并使用虚拟机和 Azure 应用程序网关提供基于 Web 的数据访问和交互式研究环境。
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