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实例探究 > 利用 ModCell™ 和 Google Cloud Platform 改善癌症患者药物治疗匹配

Alacris' Innovative Approach to Personalized Cancer Therapy Using Google Cloud Platform

技术
  • 分析与建模 - 数字孪生/模拟
  • 网络与连接 - 蜂窝
适用行业
  • 医疗保健和医院
  • 药品
用例
  • 数字孪生
  • 虚拟现实
服务
  • 云规划/设计/实施服务
  • 系统集成
挑战
癌症患者与药物治疗不匹配,导致反应变化和严重的副作用。
关于客户
Alacris Theranostics 是一家位于柏林的马克斯·普朗克分子遗传学研究所的衍生公司,利用下一代测序和其他基因组学数据进行药物开发和肿瘤学个性化医疗。
解决方案
Alacris 开发了 ModCell™ 系统,该系统可生成“虚拟患者”模型,用于个性化预测治疗结果。它将患者特定的遗传信息与癌症的分子和机制知识相结合,以模拟不同药物对患者肿瘤的作用。
运营影响
  • The use of Google Cloud Platform has enabled Alacris to rapidly refine and improve their modeling system. The results of the simulations are now being used to calculate the inhibition of cell growth, which will be compared to pharmacological profiles available from Cancer Cell Line Encyclopedia (CCLE). This will potentially facilitate the identification of cancer-related signal transduction pathways that are not yet covered in the model, and also further the understanding of the functional consequences of mutations at both the molecular pathway and cellular level. Moreover, Alacris will gain insight into drug action at the molecular level and analyze cross-talk and potential redundancies between pathways. This information will be used to expand and modify the ModCell™ system, integrating the identified cancer-related signaling pathways and mutations, and additional drug information, such as drug uptake dynamics and drug metabolism.

数量效益
  • Simulated the effects of about 100 molecular targeted anti-cancer as well as non anti-cancer drugs/compounds on more than 700 different cancer cell lines.

  • Generated more than 5 million different models, each of which was expected to need up to one minute to be solved numerically and to produce about 500 kB of simulation data.

  • Handled a simulation time of more than 3,000 days, if run on a single core, and more than 2 TB of data using Google Cloud Platform.

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