Build · AWS
Uses AWS tools to accelerate scientist productivity and lab operations
Uses AWS tools to accelerate scientist productivity and lab operations
AWS is Amazon's cloud platform, used across pharma for genomics compute, SageMaker/Bedrock model training, and healthcare-and-life-sciences-specific services like Amazon HealthOmics.
This sits in the Build stage of the AI use-case lifecycle: Named examples from the foundation-model labs and platforms pharma teams use to actually construct, train and generate the model or application.
Source
Published by AWS on its own site — read the original case study on aws.amazon.com ↗
Note: 404 not found — the URL no longer serves a Thermo Fisher case study; it redirects/resolves to AWS's generic Customer Success Stories hub page with no Thermo Fisher-specific content.
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- 01Sanofi Accelerates Drug Discovery with AI on AWS
- 02Key Takeaways from Gilead's Innovation Talk at re:Invent 2023
- 03AWS Life Sciences Symposium 2025 | Development Assistants at AstraZeneca
- 04Cloud-based genomics-sequencing data processing at scale
- 05Roche Accelerates Personalized Healthcare R&D While Reducing Costs Using AWS HealthOmics
- 06AWS re:Invent 2023 - Customer Keynote Pfizer