AWS for Industries

Tag: #lifesciences

2024 – The Year of Production | Highlights from the AWS Life Sciences Leaders Symposium 2024

Last week, we hosted our 6th Annual AWS Life Sciences Leaders Symposium in Boston. Over 450 executives from 240 top life sciences organizations joined us in person for an intense full-day discussion on how life sciences organizations can leverage generative AI, machine learning, and data analytics on AWS to revolutionize drug discovery and clinical development. […]

Vertex Pharmaceuticals: Accelerating image segmentation for drug discovery imaging using serverless technologies on AWS

This post was co-authored with Roberto Iturralde, Sr. Director of Software Engineering, and Karthik Ghantasala, Director of Cloud Architecture at Vertex Pharmaceuticals. Drug discovery is a complex process that involves the identification and optimization of potential drug candidates that can interact with specific biological targets to produce a desired therapeutic effect. One challenge in this […]

Resilience builds lab supply feature card

Resilience builds lab supply chain tracking platform on AWS

We would like to acknowledge the valuable contributions of (Resilience) Bridget Smith, Senior Systems Engineer; Jonathan Rivernider, Lab Systems Engineer; Brian McNatt, Digital Research Sites Head; John Kerwin, Tech Head of Gene Therapy; Rachel Anderson, Specialist II, Supply Chain; (iOLAP) Alex Guerrero, Principal Solutions Architect; Marko Kos, Data Engineer. Improving biomanufacturing operational efficiency is crucial […]

Secure Your Genomic Workflows and Data with AWS HealthOmics

AWS HealthOmics is a HIPAA-eligible AWS service and provides fully-managed compute that helps customers process genomic, proteomic, and other varieties of -omic data securely and at scale in AWS. It supports common workflow definition languages—including WDL, Nextflow, and CWL—and secure access to data stored in Amazon S3 and AWS HealthOmics Storage. In this blog post, we cover […]

Executive Conversations: Generative AI for responsible innovation in pharma commercialization

EVERSANA is a leading provider of commercial services to the life sciences industry. The organization is building generative artificial intelligence (AI) applications to help pharmaceutical organizations drive efficiencies and business value while improving patient outcomes. Scott Synder, chief digital officer at EVERSANA, recently spoke to Ujjwal Ratan, data science and ML leader for healthcare and […]

AWS and Children’s Brain Tumor Network: Powering multi-modal data sharing for pediatric brain cancer research

Cancer remains the leading cause of death from disease for children, with nearly 10,000 cases diagnosed each year and over 1,000 children dying annually in the United States alone. The most common solid tumors are brain tumors, with 4,000 children and adolescents diagnosed with a primary brain tumors each year. The White House’s re-ingited Cancer […]

Esko enables increased speed-to-market and quality for Life Sciences companies

Life Sciences companies are facing mounting pressure to reduce go-to-market time while retaining high quality standards in their products, labels, and leaflets. In such a demanding market that is prone to change, these companies need the right solutions to streamline their processes. Esko has been investing in R&D and working with key Life Sciences customers […]

Executive Conversations: The promise of generative AI for the commercial pharma value chain

Merck & Co., Inc., Rahway, NJ, USA, one of the largest pharmaceutical companies in the world, has been using generative artificial intelligence (generative AI) to push the borders of data science and analytics in life sciences. Harish Nankani, Associate Vice President, Data and Analytics, Merck, and Suman Giri, Executive Director, Data Science, Merck, recently spoke […]

Coriell Life Sciences Uses the Cloud for Medication Decision Support

Coriell Life Sciences uses the AWS Cloud to provide patients, physicians, and pharmacists insight into the safest, most effective medications based on an individual’s DNA and other factors. More than 131 million people—66% of all adults in the United States—use prescription medicines to manage health conditions, according to Georgetown’s Health Policy Institute. Utilization is highest […]

Executive Conversations: Building the Brain Knowledge Platform, with Shoaib Mufti, Data and Technology Lead at the Allen Institute for Brain Science

Shoaib Mufti, Head of Data and Technology at the Allen Institute for Brain Science, joins Lisa McFerrin, Worldwide Lead for Research, Discovery, and Translational Medicine at Amazon Web Services (AWS), to share how the Allen Institute is using the cloud to build the Brain Knowledge Platform (BKP) for the U.S. National Institutes of Health (NIH) […]