Category: Life Sciences

This year, 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 look ahead to what this year’s […]

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 […]

Celebrating its 10th year, AWS re:Invent 2021 is gearing up to deliver a week of inspiring content, educational workshops and bootcamps, and plenty of peer-to-peer networking opportunities. This year’s conference will take place in Las Vegas from November 29th through December 3rd, and will have an engaging virtual component for those who cannot join us […]

Guest blog authored by Jack Tabaska and Ian Davis from the Bayer Crop Sciences team. At Bayer Crop Science we are applying modern genomic and data science methods to the challenges of global food production. Our research routinely produces enormous volumes of raw data that must be processed quickly and cost-effectively. Automated analysis pipelines (also […]

The cloud has brought agility and cost savings compared to running workloads in a data center, forcing customers to consider how regulatory concerns are shared between themselves and the cloud provider. Customers with existing GxP (an abbreviation for “good practice” guidelines and regulations for various industries like pharmaceutical, agricultural, or manufacturing) solutions are challenged when […]

CliniOps offers a Data Science platform for the Life Science industry, to support digital Clinical trials, leveraging AI, mobile, analytics, cloud, sensors & connected devices. This novel Unified platform approach, with built-in Telemedicine, is custom designed for Patients, Sites and Sponsors, that ensures high data quality at less cost. The platform is also extremely flexible […]

To keep pace with the growing scale of genomics datasets, bioinformatics scientists rely on shared analysis workflows written with portable standards such as the Workflow Description Language (WDL). The race to track SARS-CoV-2 variants notably illustrates rapid deployment of such workflows at scale on many platforms, including AWS. This post presents a new solution for […]

Introduction This blog summarizes the use of image-based computing patterns in life sciences manufacturing to accelerate the cloud journey and realize predictive plant capabilities as foundational steps toward an “Industry 4.0” vision. AWS computer vision services automate discrete process steps using image analytics. We explore core business challenges and opportunities, target use-cases and AWS architecture […]