- AWS›
- Solutions›
- Customer Stories›
- Leading Cloud Innovators
AstraZeneca on AWS
AstraZeneca is a global biopharmaceutical company developing medicines in a range of therapy areas. Using AWS, AstraZeneca can accelerate life-saving research and product development.
Overview
AstraZeneca innovates on Amazon Web Services (AWS) to speed the time to science and time to market with new medicines. It built a genomics pipeline on AWS using high-performance computing that processes over 1,600 exomes per hour. Using machine learning (ML) on AWS, it automates tissue-sample analysis and reduces time spent cataloging samples by 50 percent. With a large-scale processing workflow, AstraZeneca runs over 51 billion statistical tests in under 24 hours—a feat made possible by the cloud.
Leveraging Amazon Bedrock to accelerate clinical trials at AstraZeneca
AstraZeneca is transforming clinical trials process with Amazon Bedrock, using text-to-SQL and retrieval-augmented generation (RAG) to merge structured and unstructured data. Their AI-powered Development Assistant enables clinical teams to access insights in seconds through a conversational interface, ensuring data reliability and accelerating drug development.
Using Amazon Bedrock Agents to accelerate decisions across drug development
Using Amazon Web Services (AWS), AstraZeneca is reimagining how teams access and analyze data across their clinical development, regulatory, safety and quality areas with AI. This is accelerating AstraZeneca’s clinical trial pipeline toward its 2030 vision—bringing life-changing medicines to patients faster.
AstraZeneca's Cloud Journey
How AstraZeneca uses data and AI/ML to protect patient lives
AstraZeneca is using data, artificial intelligence, and machine learning (ML) with an ambition to eliminate cancer as a cause of death and protect the lives of patients suffering with heart failure and lung disease. It moved 25 petabytes of data across the AWS global network, generating 75 petabytes of intermediary data in the process, resulting in the ability to run 110 billion statistical tests in under 30 hours and gain insights that influence patient health.
AstraZeneca uses AWS to do the heavy lifting while it focuses on delivering business value
Using AWS, AstraZeneca has been very successful with its small molecule portfolio, and is transitioning to biologics and beyond and has transformed its R&D to deliver medicines to patients much more quickly.
Machine learning is transforming drug discovery at AstraZeneca
AstraZeneca is leveraging machine learning to transform their drug discovery process, particularly in pathology research where they use Amazon SageMaker Ground Truth to analyze tissue samples, reducing cataloging time by 50%. The machine learning models have achieved a 95% success rate in identifying key kidney structures affected by diabetic injury, allowing researchers like Magnus Söderberg to spend less time manually reviewing samples and more time on drug research.
AWS is a key partner in our R&D data strategy, because it allows us to move at speed. It’s critical to helping our R&D colleagues test new ideas and scale—and bring value.
Anna Berg Åsberg
Global Vice President of R&D, AstraZenecaAbout AstraZeneca
AstraZeneca PLC (AstraZeneca) is a global, science-led, patient-focused pharmaceutical company, developing medicines in a range of therapy areas.
More customer stories
Did you find what you were looking for today?
Let us know so we can improve the quality of the content on our pages