Amazon Web Services (AWS) has announced that Lyell Immunopharma will transport its cloud infrastructure to AWS as the company’s standard for machine learning (ML) workloads, AWS reported on Wednesday.
“Lyell runs on AWS because we enable them to build and test applications quickly, and gain insights into vast amounts of data, with the goal of enabling them to bring new therapies to market, which is so important in a world where we are all touched by someone who has been afflicted with cancer,” said Mike Clayville, Vice President, Worldwide Commercial Sales at AWS.
Lyell will leverage AWS’s scalable infrastructure to run its secure data and analytics platform and support its high-performance computing workloads to accelerate the research of new cell therapies as it searches for cures for cancer.
AWS’s services will help Lyell analyze insights in scientific data on how the immune system can fight cancer, as well as expedite the company’s research. One of Lyell's recent initiatives will develop immunotherapies with high performance computing (HPC) clusters. The project will help scientists design new protein structures to engineer immune cells that are more capable of fighting cancer.
“We chose AWS because its unmatched portfolio of cloud services provides us with the environment and resources we need to research, design, and develop immunotherapies, all of which wouldn’t be possible at the speed and scale we are looking for, without the elasticity of the cloud,” said Rick Klausner, M.D., Founder and Chief Executive Officer.
AWS’s secure and elastic compute capacity will enable Lyell to design and test potential new cell therapy constructs at a faster rate. Lyell will be able to conduct 30 simulations in 10 hours as opposed to a single simulation in four weeks, before joining AWS.
Lyell will build a data lake on Amazon Simple Storage Service (Amazon S3) and leverage AWS analytics services like Amazon Athena and Amazon EMR to analyze petabytes of research, clinical and manufacturing data to gain insights into immune cell functionality faster than before.
Lyell will also incorporate Amazon SageMaker to enable scientists to build, train and deploy ML models. The models enable automated image analysis and optimization of protein structures, which will facilitate Lyell’s mission to cure cancer.
“By adopting cloud-first strategies on AWS and leveraging the most comprehensive set of cloud services in the industry, innovators like Lyell are able to build and scale their businesses, disrupting longstanding business models and inventing new ones,” added Clayville.
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