AWS for Industries

Category: Life Sciences

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 […]

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

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 […]

Novartis AG uses Amazon SageMaker and Amazon Neptune to build and enrich a knowledge graph using BERT (Part 2/4)

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 […]

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

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 […]

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 […]

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 […]

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 […]

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 […]

DRAGEN reanalysis of the 1000 Genomes Dataset now available on the Registry of Open Data

Guest authored by Bryan Lajoie, Staff Bioinformatics Scientist at Illumina Inc. — We are pleased to announce the release of a comprehensive reanalysis of 3,202 deeply-sequenced samples from the 1000 Genomes Project(1kGP) using the Illumina DRAGEN (Dynamic Read Analysis for GENomics) Bio-IT platform. This seminal dataset will be freely available for researchers across the world to use […]

Cromwell on AWS: A simpler and improved AWS Batch backend

The latest release of Cromwell (v52) includes a number of major changes and improvements to the AWS Batch backend for Cromwell. Among the numerous changes, we have enabled Cromwell’s Call Caching feature when using AWS Batch with files in Amazon Simple Storage Service (Amazon S3). This allows genomics researchers to efficiently develop and run workflows […]