AWS for Industries

Category: Healthcare & Life Sciences

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 […]

Read More

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 […]

Read More

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 […]

Read More

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. […]

Read More

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 […]

Read More

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 […]

Read More

Achieve Healthcare Interoperability by integrating Amazon Comprehend Medical with FHIR

Healthcare interoperability is a major initiative across all stakeholders of the healthcare ecosystem, and the Fast Healthcare Interoperability Resources (FHIR) standard has opened the doors for a modern approach to sharing such information. I have frequently heard from healthcare customers that they want to make a difference in patients’ lives by sharing the most relevant […]

Read More

Building a multi-channel, data driven patient engagement platform with AWS

In today’s digitally transformed world, it’s more important than ever to have a deeper understanding of your patient’s attitude and behavior, and to engage them with personalized content through the channels that they prefer in order to provide efficient and personalized patient care. In addition, with today’s value-based healthcare, the patient is the center of […]

Read More

Moderna Webinar: Building the Digital Biotech Company

Moderna is advancing messenger RNA (mRNA) science to create a new class of mRNA medicines designed to direct the patient’s own cells to produce proteins that have a therapeutic or preventive benefit. Developing therapeutics and vaccines for a variety of diseases challenges process development and operations to establish agile and flexible manufacturing, capable of executing […]

Read More

AWS Public Database program adds valuable MIMIC-III dataset for researchers

Biomedical researchers require access to accurate, detailed data. The MIT Laboratory of Computational Physiology (LCP) MIMIC-III dataset is a popular resource that captures a variety of measures longitudinally over time, across many patients, and can drive analytics and machine learning toward research discovery and improved clinical decision-making. Recently, the MIT Laboratory of Computational Physiology (LCP) […]

Read More