AWS for Industries

Tag: life sciences

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 […]

Read More
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 […]

Read More

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 […]

Read More

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 […]

Read More

How Novartis AG brought SMART into Smart Procurement with AWS Machine Learning (Part 1/4)

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 Smart Procurement with AWS Machine Learning (this post) Part 2: Novartis AG uses Amazon SageMaker […]

Read More

Deploy digital biomarkers at scale in clinical trials using serverless services on AWS

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 […]

Read More

Executive Conversations: Building Resiliency with Bob Reiter, Head of R&D, Bayer Crop Science

Bob Reiter, Head of R&D of Bayer Crop Science, joins Elizabeth Fastiggi, Worldwide Lead of Agriculture Business at AWS for a discussion on recent disruptions in the global food supply chain, examples of farmers building resiliency through data and analytics, and future trends for sustainability. Crop Science, a division of Bayer, provides a range of […]

Read More

Whitepaper: Genomics Data Transfer, Analytics, and Machine Learning using AWS Services

AWS Genomics has released a new whitepaper, Genomics Data Transfer, Analytics, and Machine Learning using AWS Services, that provides essential information and guidance on how to build a Next Generation Sequencing (NGS) platform using AWS services, from instrument to interpretation. Accompanying the new whitepaper are three solutions, developed based on feedback from AWS life science […]

Read More

Make the most of AWS re:Invent 2020 – Life Sciences Attendee Guide

AWS re:Invent routinely fills several Las Vegas venues with standing-room only crowds, but we are bringing it to you with an all-virtual and free event this year. This year’s conference is gearing up to be our biggest yet and we have an exciting program planned with five keynotes, 18 leadership sessions, and over 500 breakout […]

Read More

Conducting end-to-end pharmacovigilance workflows using AWS technologies

Introduction Bio-pharmaceutical companies have always had a responsibility to report adverse events (AE), whether in clinical development or post market-approval scenarios, to the Food and Drug Administration (FDA).  The COVID-19 pandemic and the race to find effective treatments for this disease has caused both the FDA and bio-pharmaceutical organizations around the world to re-imagine the […]

Read More