Category: Life Sciences

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]