AWS for Industries

Tag: life sciences

The Year of the Patient: Healthcare & Life Sciences 2021 Year in Review

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 […]

re:Invent Top 10 Announcements for Healthcare & Life Sciences

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 […]

How Vertex Pharmaceuticals reduced time and cost of small molecule drug discovery using Thompson Sampling on AWS

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 […]

Healthcare & Life Sciences at re:Invent 2021- Industry Attendee Guide

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 […]

BayerCLAW – Open-Source, Serverless Orchestrator for Scientific Workflows on AWS

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 […]

Driving Life Sciences Manufacturing “Industry 4.0” using Image Analytics

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 […]

Deploying multi-physics simulations for biopharma process development on AWS

This blog was co-authored by Fabrice Schlegel, Senior Manager of Data Sciences at Amgen; Joao Alberto de Faria, Senior Associate Software Engineer at Amgen; Ammar Latif, Senior SA at AWS; and Pierre-Yves Aquilanti, Principal HPC Specialist SA at AWS. Amgen relies on computational modeling to gain insight into their biopharma processes. Modeling improves product designs through […]

Introducing AWS for Health – Accelerating innovation from benchtop to bedside

Healthcare and life science organizations are moving towards digital transformation to decrease the cost of care, improve collaboration, make data-driven clinical and operational decisions, and enable faster development of new therapeutics and treatment paths. Identifying the right cloud technology to reach these goals can be challenging, and many organizations lack the internal resourcing and expertise […]

Executive Conversations: The era of genomics in the cloud with Peter Goodhand, CEO, Global Alliance for Genomics & Health

Executive Conversations: The era of genomics in the cloud with Peter Goodhand, CEO, Global Alliance for Genomics & Health

Peter Goodhand, CEO of the Global Alliance for Genomics & Health (GA4GH), joins Lisa McFerrin, Worldwide Lead of Genomic Bioinformatics at AWS, to discuss how secure storage and responsible sharing of genomic data in the cloud can benefit human health. GA4GH is a nonprofit alliance dedicated to creating frameworks and standards that facilitate data sharing […]

Variant call files overview

Machine Learning Leukemia diagnosis at Munich Leukemia Lab with Amazon SageMaker

Munich Leukemia Lab (MLL) is a leading global institution for leukemia diagnostics and research, operating within a highly innovative environment. MLL aims to shape the future of hematological diagnostics and therapy through state-of-the-art molecular and computational methodologies. To this end, MLL partnered with the Amazon Machine Learning Solutions Lab (MLSL) and Mission Solutions Team (MST) […]