Tag: #lifesciences

At Bayer, the quest to accelerate drug discovery and deliver critical therapies to patients faster has taken an innovative leap forward with the power of generative artificial intelligence (AI). Recognizing the potential to dramatically reduce costs and time in predicting chemical reaction conditions, Bayer engaged Amazon Web Services (AWS) to explore the use of generative […]

Technological breakthroughs don’t just happen—they’re carefully orchestrated through purpose-built tools, strategic innovations, and a deep understanding of industry-specific challenges. At AWS re:Invent 2024, healthcare and life sciences customers explored how the latest innovations in generative AI and machine learning (ML) can transform how we approach medical research, patient care, and scientific discovery. In the weeks […]

Across the Life Sciences, companies are integrating cloud technology into laboratory operations to create digitally connected labs. This innovation is bringing our industry one step closer to the Lab of the Future enabling seamless data integration, remote access, collaboration, flexibility, scalability, and cost-effectiveness. Waters Corporation has had success in this area. Their customers benefit from […]

2024 has been a landmark year for innovation at the crossroads of health and technology. As AWS re:Invent 2024 approaches, industry pioneers and AWS experts are poised to showcase technologies, use cases, and breakthroughs fueled by generative AI, machine learning, and sophisticated data strategies. Set for December 2-6, 2024, in Las Vegas, this year’s conference […]

The collaboration will develop AI models and applications for health care practitioners. The goal? Raising the standard of care for all of us. Nearly a third of all digital information is generated by the health care sector, but 97% of it isn’t available to physicians or clinicians because not only does it take a variety […]

Embracing generative AI is imperative for life sciences organizations to stay competitive. However, the rapid evolution of models and data strategies has been overwhelming. While this diverse array of choices enhances business outcomes, life sciences leaders face the daunting task of strategizing for a future amid new AI breakthroughs emerging every week. At the recent […]

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. […]

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 […]

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 […]

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 […]