Category: Life Sciences

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. 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 […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. This is the second 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 […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. This is the first 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 […]

Background Traditional assessments of disease progression and intervention efficacy used in clinical trials are often limited. These assessments normally consist of clinical outcome assessments (COAs) and patient reported outcomes (PROs). COAs are physician-derived, often requiring patients to travel to a clinical site. They are typically subjective, episodic in nature, and provide limited insight into the […]