Amazon Web Services (AWS) announced that Lyell Immunopharma is going all-in on AWS – running its cloud infrastructure on AWS – and has selected AWS as its standard for machine learning (ML) workloads.
Lyell leverages AWS’s infrastructure to run its secure data and analytics platform as well as support its high-performance computing workloads to accelerate the research of new cell therapies as it searches for cures for cancer.
How Lyell leverages AWS
AWS’s breadth and depth of services is helping Lyell to uncover insights in scientific data on how the immune system can fight cancer, as well as speed up its research. One of Lyell’s approaches to developing immunotherapies is using high performance computing (HPC) clusters to help scientists design new protein structures to engineer immune cells that are more capable of fighting cancer. Using AWS’s secure and elastic compute capacity, Lyell is able to design and test potential new cell therapy constructs at a faster rate, going from conducting a single simulation in four weeks to completing 30 simulations in 10 hours.
By building a data lake on Amazon Simple Storage Service (Amazon S3), and leveraging AWS analytics services such as Amazon Athena and Amazon EMR, Lyell can now analyze petabytes of research, clinical, and manufacturing data to gain insights into immune cell functionality faster than ever before.
Lyell is also using Amazon SageMaker to enable scientists to build, train, and deploy ML models. These models enable automated image analysis and optimization of protein structures, which will facilitate Lyell’s mission to cure cancer.