AWS for Industries

Category: Healthcare & Life Sciences

AWS and Novartis: Re-inventing pharma manufacturing

Today, AWS announced a new strategic collaboration with Novartis that will transform Novartis’ core supply chain, manufacturing, and delivery operations through the use of AWS services. For several years, many AWS partners and life science customers have been using AWS services to modernize various aspects of manufacturing and supply chain. This strategic collaboration with Novartis […]

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Automating claims adjudication workflows using Amazon Textract and Amazon Comprehend Medical

When a medical claim is submitted, the insurance provider must process the claim to determine the correct financial responsibility of the insurance provider and the patient. The process to determine this is broadly known as claims adjudication. It involves creating a claims processing workflow that checks each claim for authenticity, correctness, and validity based on […]

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Webinar: Digital Medicine 101

Technology is changing how we practice medicine. Sensors and wearables are getting smaller and cheaper, and algorithms are becoming powerful enough to predict medical outcomes. Yet despite rapid advances, healthcare lags behind other industries in truly putting these technologies to use. A major barrier to entry is the cross-disciplinary approach required to create such tools, […]

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Automating GxP compliance in the cloud: Best practices and architecture guidelines

The Life Sciences industry (encompassing, but not exclusively bio-pharma, genomics, medical diagnostics, and medical devices) is governed by a set of regulatory guidelines called Good Laboratory Practice, Good Clinical Practice, and Good Manufacturing Practice (commonly referred to as “GxP”). GxP is intended to protect patient health by ensuring the safety, efficacy, and quality of medicinal […]

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Genomics Webinar: Improving the diagnosis of infectious diseases with microbial genomic analysis

The discovery of microbial cell-free DNA has propelled the introduction of new technologies that can be leveraged for next-generation diagnostic assays. Previously inaccessible genomic information can now be comprehensively surveyed for microorganisms, all from a single blood draw. This webinar will outline how infectious disease testing firm Karius analyzes microbial cell-free DNA data through novel […]

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Building a GPU-enabled CryoEM workflow on AWS

Cryo-electron microscopy (CryoEM) of non-crystalline single particles is a biophysical technique that can be used to determine the structure of biological macromolecules and assemblies. The technique is rapidly becoming the go-to technique in the life-sciences drug discovery process for understanding protein structure. Processing data/images coming from a CryoEM microscope demands a scalable storage for large datasets (median […]

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Predict patient health outcomes using OHDSI and machine learning on AWS

Build a machine learning model to predict the likelihood of stroke in a patient with newly diagnosed atrial fibrillation In healthcare, patient outcome prediction is a critical step in improving the effectiveness of care delivery while reducing its overall cost.  Being able to accurately forecast what will happen next to patients, at scale, is key […]

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AWS re:Invent 2019 – Healthcare and Life Sciences Industry Guide

We have an exciting re:Invent planned for the healthcare and life science industries this year. This year’s conference will be our biggest yet, with 60,000+ attendees, more than 2,000 technical sessions and dedicated tracks for both healthcare and life sciences. Below is some key information to help industry attendees make the most of re:Invent 2019. […]

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Genomic pathogen surveillance using Nextflow on AWS

The Centre for Genomic Pathogen Surveillance (CGPS) is based at the Wellcome Genome Campus, Cambridge and The Big Data Institute, University of Oxford in the United Kingdom. The Centre hopes to enable the linking and real-time interpretation of data globally to track pathogens and antimicrobial resistance in a cost-effective manner. Using AWS CloudFormation and AWS […]

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In the News: Cerner, Aidoc, and Arterys use AWS machine learning to improve healthcare

WIRED just published a story about how leading healthcare organizations like Cerner, Aidoc, and Arterys are using AWS machine learning to provide faster, more accurate diagnosis, improve clinical workflows, and streamline patient care.  With Amazon SageMaker at the core, these organizations are leveraging a wide variety of AWS Cloud services, which allows them to focus […]

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