AWS for Industries

Category: Life Sciences

AWS 4th annual healthcare and life sciences industry innovators event

AWS brings together industry leaders to discuss creating a digital foundation for personalized health Patients, caregivers, and providers all want better treatments, more equitable access to care, and ultimately healthier communities. And that means personalizing how we look at health, from integrating genomics data into therapeutic development, to leveraging AI to improve clinician workflows, and […]

Read More
Reducing device downtime using actionable intelligence on AWS

Reducing device downtime using actionable intelligence on AWS

Blog guest authored by Michael Petrillo of Becton, Dickinson, and Company (BD) Overview of Solution There’s never a good time to take an in-service device offline, especially when healthcare practitioners depend on the device to deliver care to patients. Yet, to keep customer devices operating at optimized throughput, performing maintenance is essential and often requires […]

Read More
Automating GxP Infrastructure Installation Qualification on AWS with Chef InSpec

Automating GxP Infrastructure Installation Qualification on AWS with Chef InSpec

Introduction In this blog, we will discuss automating the infrastructure Installation Qualification (IQ) steps of GxP Computer System Validation using Infrastructure as Code and Chef InSpec in the Amazon Web Services (AWS) environment. In GxP Computer System Validation, the underlying infrastructure supporting a regulated workload is required to be qualified to demonstrate controls for a […]

Read More

Executive Conversations: Expanding Access to Digital Therapeutics with Omada Health

Bill Dougherty and Lucia Savage, Chief Information Security Officer and Chief Privacy and Regulatory Officer of Omada Health, join Lita Sands, Head of Global Life Sciences Solutions at Amazon Web Services (AWS) to discuss how digital health has changed in recent years and where it is headed in the future. Omada Health, a San Francisco-based […]

Read More
Invicro Improves Medical Image Quality Prediction with SageMaker HPO Jobs

Invicro Improves Medical Image Quality Prediction with SageMaker HPO Jobs

Blog guest authored by Brian Avants, and Jacob Hesterman of Invicro, a REALM IDx company High-quality medical imaging data is a clinical necessity. Yet, there are few medical datasets with quality annotations that can be used to train models which automate an objective quality prediction process. Invicro, a REALM IDx company, worked with the Amazon […]

Read More
Whitepaper: Navigating Regulatory and Compliance Requirements for HCLS on AWS

Whitepaper: Navigating Regulatory and Compliance Requirements for HCLS on AWS

For customers, and partners, it can be a struggle to understand the complexities of regulatory and compliance requirements. To understand what Amazon Web Services (AWS) is doing to support these requirements in the cloud, there is a new whitepaper that can be a great starting point for your cloud compliance journey. Navigating Regulatory and Compliance […]

Read More

Predicting protein structures at scale using AWS Batch

Proteins are large biomolecules that play an important role in the body. Knowing the physical structure of proteins is key to understanding their function. However, it can be difficult and expensive to determine the structure of many proteins experimentally. One alternative is to predict these structures using machine learning algorithms. Several high-profile research teams have […]

Read More

Improving Patient Engagement in clinical trials using voice and chat with AWS

Life sciences companies are rethinking patient engagement and legacy workflow processes in clinical trials due to low enrollment numbers and concerns around data quality. Voice and Chatbot solutions like Alexa and Amazon Lex, a fully managed conversational artificial intelligence (AI) service, can improve patient experience and increase patient engagement. An estimated 48% of clinical trials […]

Read More
Using Structural Variant Analysis on AWS with Amazon FSx for Lustre in Novel Therapeutic Discovery

Using Structural Variant Analysis on AWS with Amazon FSx for Lustre in Novel Therapeutic Discovery

This post is coauthored by Adam Tebbe (VP of Computational Data Science and Technology), Eva Fast (Senior Computational Biologist), Sarthak Vilas Patel (Senior Data Engineer) from Goldfinch Bio, Inc. and Henrique Silva (Machine Learning Lead) from AWS Advanced Consulting Partner Loka. Goldfinch Bio is an early-stage biotechnology company, who is working towards developing novel, genetically-validated […]

Read More

Hummingbird – a tool for effective prediction of performance and costs of genomics workloads on AWS

Blog guest authored by Utsab Ray, Amir Alavi, Amit Dixit, Vandhana Krishnan, and Amir Bahmani from Stanford University. Genomics researchers often face challenges in accurately estimating the compute and memory resources required for their workloads as they work to migrate their data processing to the cloud. AWS cloud computing infrastructure offers scalable and cost-effective solutions […]

Read More