AWS for Industries

Category: Life Sciences

Executive Conversations: Evolving R&D with Siping “Spin” Wang, President and CTO of TetraScience

Ground-breaking new therapies and scientific advances in technology are driving the exponential rate of innovation in the pharmaceutical industry. With the explosion of big data and the complexity that comes with it, leaders in life sciences research and development (R&D) are adopting digital transformation to speed up discovery and maximize investments. Siping “Spin” Wang, President […]

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Applying the AWS Shared Responsibility Model to your GxP Solution

The AWS Shared Responsibility Model is often discussed as a topic to illustrate AWS security principles, but you can also apply it to compliance-related activities such as GxP. The shared model provides constructive mechanisms to illustrate the separation of tasks between AWS and the customer. AWS is responsible for the security and compliance of the […]

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[In the News] The Intelligent Era: Design, Detect, Discover

This article originally appeared on BBC StoryWorks. How machine learning is changing the pharmaceutical industry and reshaping the way drugs are produced in the 21st century The scale of the pharmaceutical industry is staggering. There are millions of patients to take care of, billions of data points generated by every clinical trial—and that’s before you […]

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Standardizing quantification of expression data at Corteva Agriscience with Nextflow and AWS Batch

Authored by Anand Venkatraman, Bioinformatics Associate Research Scientist at Corteva Agriscience, and Srinivasarao Annapareddi, Cloud DevOps Engineer at Corteva Agriscience. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. — Data analysis in biological research today presents some […]

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Leveraging AWS in Life Sciences and Healthcare Disaster Recovery Planning

Advances in life sciences and healthcare IT have rapidly improved patient care and increased efficiency across the industry. As a result, life sciences and healthcare disaster recovery planning has become an even greater concern for medical providers, insurers, pharmaceutical companies, and other life sciences and healthcare-related organizations. They understand the importance of preventing data loss […]

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NIH’s Sequence Read Archive, the world’s largest genome sequence repository: Openly accessible on AWS

AWS and the National Library of Medicine’s (NLM) National Center for Biotechnology Information (NCBI) are happy to announce that the Sequence Read Archive (SRA) – one of the world’s largest repositories of raw next generation sequencing data, will be freely accessible from Amazon S3 via the Open Data Sponsorship Program (ODP). The SRA is currently […]

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re:Invent 2020 – Life Sciences Industry Recap

AWS re:Invent 2020, the biggest cloud computing event of the year, kicked off its first wave of free virtual content and announcements from Nov 30 to Dec 18. The Life Sciences Industry Track brought industry leaders together to discuss how they leverage cloud technology to bring differentiated therapeutics to market faster. In this post, we’ll […]

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AWS for pharma manufacturing safety

Setting the “Industry 4.0” foundations for life sciences manufacturing

Introduction This blog summarizes challenges in life sciences manufacturing along with examples of Amazon Web Services (AWS) customers using cloud technology to improve their operations. We explore reference architectures illustrating how AWS services can be used to establish the foundation for “Industry 4.0.” Finally, we describe an AWS assessment engagement customers can use to understand […]

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Demand Forecasting using Amazon SageMaker and GluonTS at Novartis AG (Part 4/4)

This is the fourth post of a four-part series on the strategic collaboration between AWS and Novartis AG, where the AWS Professional Services team built the Buying Engine platform. In this series: Part 1: How Novartis brought SMART into Smart Procurement with AWS Machine Learning Part 2: Novartis AG uses Amazon SageMaker and Amazon Neptune […]

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Novartis AG uses Amazon Elasticsearch K-Nearest Neighbor (KNN) and Amazon SageMaker to power search and recommendation (Part 3/4)

This is the third post of a four-part series on the strategic collaboration between AWS and Novartis AG, where the AWS Professional Services team built the Buying Engine platform. In this series: Part 1:  How Novartis AG brought SMART into Smart Procurement with AWS Machine Learning Part 2: Novartis AG uses Amazon SageMaker and Amazon […]

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