Build · AWS
Generative AI for target identification on resilient cloud infrastructure
Gilead generative AI for target identification on resilient cloud infrastructure.
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 ↗
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