Category: Life Sciences

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 […]

Blog guest authored by Charlie Clarke, Yanni Pandelidis, and Bill Robinson from hc1 A back-office challenge between provider networks and diagnostic testing organizations is the sharing of common service, test, and procedure names and codes. Historically, different organizations have had their own naming and coding catalog, also referred to as a compendium. The inconsistent representations […]

Today, AWS for Genomics announces the addition of miniWDL as a workflow engine in Amazon Genomics CLI, an open source tool that makes it easier to run genomics workflows at-scale by automating the deployment of workflow engines and compute clusters. MiniWDL is a lightweight engine for running Workflow Definition Language (WDL) based workflows developed by […]

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. […]

Clinical trial monitoring is an integral part of running a successful and compliant clinical trial. Currently the site monitoring process is manual, costly, and subject to data quality issues. This post discusses how various aspects of site monitoring can be automated to optimize cost and increase quality. About 25% to 30% of the total cost […]

In our previous blog, How to Build a Dynamic Supply Chain Platform: A Primer, we discussed how companies can proactively manage market events in a global supply chain using AWS. In this post, we will focus on how companies can manage customs clearance risk in the same supply chain by using AWS artificial intelligence and […]

Amazon Web Services (AWS) celebrated 10 years of AWS re:Invent. During that time, many customers have taken the re:Invent stage to share their stories and details of exciting innovations. To mark the occasion, here’s a look back at 10 memorable moments from a decade of re:Invent and what this year’s customer keynote speakers shared on […]

For some, 2021 was definitely a year to forget and for others it was filled with moments to remember. COVID-19 impacted every aspect of life, but for health organizations, like hospitals, life sciences companies, and genomics research organizations, 2021 was a year of monumental change, and that change centered around the patient. With a shared […]

Healthcare and life sciences organizations are reinventing how they collaborate, make data driven clinical and operational decisions, enable precision medicine, and decrease the cost of care. AWS for Health, a curated offering of AWS services and AWS Partner Network solutions designed for healthcare and life sciences customers, provides proven and easily accessible capabilities that help […]

This post was co-written with Roberto Iturralde, Sr. Director of Engineering, and Rajarshi Guha, Director of Data and Computational Sciences at Vertex Pharmaceuticals. Vertex is a global biotechnology company that invests in scientific innovation to create transformative medicines for people with serious diseases. In this blog post, we’ll show how Vertex Pharmaceuticals designed a highly […]