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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.

AstraZeneca's Cloud Journey

Machine Learning is Transforming Drug Discovery at AstraZeneca

2021

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.

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How Data Drives the Next Generation of Medicine

2021

AstraZeneca has been a global leader in pharmaceutical research and development for decades. Today, the company’s scientists and clinicians use AI to help redefine medical science in the quest for new and better ways to discover, test, and accelerate potential medicines.

ebola virus biopharmaceutical drug research in  biochemical lab

AWS for Healthcare & Life Sciences

AWS Health provides a cloud operations service that provides current and upcoming events for AWS resources. It delivers personalized operational insights to help you plan for scheduled activities and quickly understand service disruptions. AWS Health offers proactive alerts, detailed operational insights, and tools to help you optimize performance and plan for changes.

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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, AstraZeneca

About AstraZeneca

AstraZeneca PLC (AstraZeneca) is a global biopharmaceutical company developing medicines in a range of therapy areas. 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. Using AWS, AstraZeneca can accelerate life-saving research and product development.

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