Cloud-Based Life Sciences Manufacturing System: Integrated Experiment Management and Data Analysis via Amazon Web Services

Pei Guo (), Raymond Peterson (), Paul Paukstelis () and Jianwu Wang ()
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Pei Guo: University of Maryland, Baltimore County
Raymond Peterson: Granite Point Ventures
Paul Paukstelis: University of Maryland
Jianwu Wang: University of Maryland, Baltimore County

A chapter in Smart Service Systems, Operations Management, and Analytics, 2020, pp 149-159 from Springer

Abstract: Abstract A vital need in the life sciences industry is software that manages large amounts of fast-moving data for manufacturing quality assurance, clinical diagnostics, and research. In the life sciences industry and research labs, lab information management systemsLab Information Management System (LIMS) (LIMS) are often used to manage expensive lab instruments. We propose a new software architecture for cloud-based life sciences manufacturing system through the following two advances: (1) full life cycle support of life science experiment through cloud services, (2) workflow-based easy and automatic experiment management and data analysis. This paper discusses our software architecture and implementation on top of Amazon Web Services by utilizing its services including Lambda architecture, API gateway, serverless computing, and Internet of Things (IoT)Internet of Things (IoT) services. We demonstrate its usage through a real-world life sciences instrument and experimental use case. To our best knowledge, it is the first work on supporting integrated experiment design, experiment instrument operation, experiment data storage, and experiment data analysis all in the cloud for the life sciences.

Keywords: IoT; Cloud manufacturing; Workflow; Lab information management system (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-30967-1_14

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DOI: 10.1007/978-3-030-30967-1_14

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