Category: Life Sciences

As a prelude to re:Invent 2023, AWS hosted the Healthcare and Life Sciences (HCLS) Executive Symposium in Las Vegas on Monday, November 27. The half-day, in-person event, attended by over 300 leaders from 180 organizations, centered around harnessing the power of data, analytics, machine learning (ML), and generative AI to accelerate innovation. This year’s symposium […]

Occasionally, new technologies emerge that fundamentally alter how businesses operate. But without the appropriate tools—controls, safeguards, and user experiences—the promise of new technologies can get stuck.  In the past year, many have been captivated by the potential of Generative AI to revolutionize drug discovery, precision medicine, and healthcare delivery. But what tools will turn the […]

Contributed by Authors: Lidia Fonseca, Chief Digital and Technology Officer of Pfizer, and Dan Sheeran, General Manager of Healthcare and Life Sciences at AWS. Pfizer applies its scientific expertise and global resources to bring vaccines and therapies to people that extend and significantly improve their lives. Last year, Pfizer treated 1.3 billion patients – that’s […]

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 […]

Genentech is a biotechnology company that pioneered the biotech industry and revolutionized how some of the world’s most complex health problems are treated. Today, as a member of the Roche Group, the company remains dedicated to pursuing breakthrough research, developing life-changing medicines, unlocking advances in data and technology, and partnering across society to take on […]

Companies across industries are increasingly seeking ways to complement their first-party data to build a holistic view of their customers or business. This often means developing a view across channels and engagements, as well as complementing their first-party data with their business partners’ data. This need for data collaboration spans company size, geography, and industry. […]

Throughout 2023, we’ve witnessed an acceleration of innovation at the intersection of health and technology. And with this year’s AWS re:Invent right around the corner, industry and AWS leaders are preparing to share their cutting edge technologies, use cases, and breakthroughs fueled by integrated data strategies, machine learning, and generative AI. Running November 27 through […]

In this blog, we show how you can leverage AWS purpose-built health care and life sciences (HCLS), machine learning (ML), and analytics services to simplify storage and analysis across genomic, health records, and medical imaging data for precision health use cases. The included reference architecture is built on AWS HealthOmics, AWS HealthImaging, and AWS HealthLake services which enable you […]

Healthcare and Life Science organizations have a mission to improve human health and make groundbreaking scientific discoveries. More often than not, they leverage genomic, transcriptomic or other omics data to achieve this goal. They use a collection of bioinformatics tools and methods to process this data and derive scientific insights. Bioinformatics workflows enable orchestration of […]

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 […]