Category: Life Sciences

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 […]

See how life science company Bayer built a quick, innovative, and secure adverse event detection platform using Amazon SageMaker to significantly streamline manual review processes This blog is guest-authored by: Marian Klug, Head of Systems Management and Analytics, Bayer; Anton Boger, PV Platform Specialist, Bayer; and Theresa Schmitt, Data Scientist, Bayer Humans vary in their […]

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. […]

Aligned with the HIMSS 2024 theme of “creating tomorrow’s health,” AWS for Healthcare and Life Sciences teams are on the ground with our customers and partners highlighting how the cloud helps them generate better insights and better outcomes by leveraging data and applying innovative technologies like generative AI. In addition to speaking slots and demos, […]

The NVIDIA BioNeMo framework accelerates drug discovery by giving researchers access to powerful foundation models (FMs) for biology. By integrating BioNeMo with Amazon SageMaker, researchers can develop cutting-edge AI solutions with the scalability, data security, and operational excellence they expect from AWS. Introduction Drug R&D is a long, costly, and risky process. On average, it […]

Contributed by Authors: Marc Berson, Senior Vice President, Chief Information Officer of Gilead Sciences, and Dan Sheeran, General Manager of Healthcare and Life Sciences at AWS. At re:Invent 2023, Marc Berson, Chief Information Officer of Gilead Sciences, joined an Innovation Talk on ‘Generative AI for Industries’, along with Shaown Nandi, AWS Director of Technology for […]

AWS HealthOmics is a managed service designed to help healthcare and life sciences organizations manage genomic and transcriptomic datasets cost-effectively. By automating metadata management, compression, and storage class tiering, HealthOmics frees up researchers to focus on analyzing omics data instead of spending time managing it. Storage efficiency, cost optimization and ease of access to omics […]

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 […]

End-to-end scientific data management on the cloud is an area of increasing interest, as life sciences companies aim to increase the utility of their data. Research, development, and manufacturing teams need a holistic set of controls for the scientific data lifecycle. These controls include data integrity, metadata tracking, lineage, permissions, and security, while simultaneously allowing […]