Tag: life sciences

To our many customers and partners who work in Life Sciences, welcome to 2023, a year that I expect to be the turning point in how data science and machine learning (ML) accelerate development of new life-saving therapies. (I’ll share 2023 thoughts on Healthcare in an upcoming post.) The first reason I’m so optimistic is […]

Blog guest contributing authored by Ryan Stastny, Product Manager at MuleSoft Clinical trials are highly complex, lengthy, and expensive. They require effective collaboration among many key stakeholders including subjects, sites, sponsors, contract research organizations (CROs), and government agencies. However, the data needed to drive successful outcomes is often siloed and inaccessible where and when it […]

What does the future of cancer treatment look like for patients, doctors, and researchers, and what is cloud computing’s role in its success? Rowland Illing, Director and CMO, Government Health at Amazon Web Services (AWS), sat down with Prabhu Arumugam, Genomics England’s Director of Clinical Data and Imaging, and Emma McCargow, Program Lead for Cancer […]

re:MARS is back! This year, re:MARS is happening in person from Las Vegas, NV from June 21-24, delivering cutting edge talks, demos, workshops, and networking opportunities, as well as a rich on-demand option for virtual attendees. The event is offering 100+ sessions spanning Machine Learning, Automation, Robotics, and Space tracks, with six of them focused […]

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 […]

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 […]

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 […]

In this post, we present how scientific researchers can implement AI-driven solutions that improve day-to-day lab productivity and accelerate scientific discovery. We discuss some of the scientific and data challenges to this space as a whole and how AWS solutions can be the foundation for greater automation and central data governance across life science enterprises. […]