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Video: Abcellera Leverages AWS to Accelerate Drug Development
AbCellera used its AI-powered technology platform to bring the world’s first COVID-19 antibody drug candidate into human clinical trials just months after its first screen of a patient blood sample.
20:54Pfizer: Building Pfizer’s Scientific Data Cloud on AWS
Presented by Vijay K. Bulusu, Head of Data & Digital Innovation, Pfizer
Bristol Myers Squibb increases performance and cost savings using AWS Storage Gateway
As covered in my previous post on the AWS Storage Blog, Bristol Myers Squibb relies on many AWS storage services to manage its petabyte scale data in various life science workflows. Genomics and...
Bristol-Myers Squibb Uses Analytics in the Fight Against Disease
Bristol-Myers Squibb CIO Paul von Autenried and his team are unlocking digital capabilities, increasing computing capacity, leveraging artificial intelligence and supporting digital health initiatives
Wired: Machine Learning is Transforming Drug Discovery at AstraZeneca
The goal of AstraZeneca’s pilot project is to use its AWS-built model across 2,000 tissue samples to identify key kidney features reliably and reproducibly.
Wired: Celgene Advances Pharma Research and Discovery with the Help of AI
Instead of worrying about wasting time and chasing false leads, Celgene scientists are coming up with innovations that wouldn’t have been possible before—and in record time.
Video: Data lakes reimagined: Efficiency & innovation at Bristol-Myers Squibb
Learn how Bristol-Myers Squibb used AWS services to create a platform-based approach for ingesting, preparing, curating, and persisting business-critical data for digital integration and analytics.
How Bristol-Myers Squibb uses AWS Storage Gateway and Amazon S3 to manage scientific data
Bristol-Myers Squibb (BMS) discovers and develops innovative medicines to help treat, manage, and cure serious diseases. We use many AWS services to help us manage our scientific data, lab...
Video: Lab of the future in Life Sciences
Research labs can be challenged by the large volume of data acquired by legacy research equipment. Learn how AWS provides a way for researchers to transfer and use instrument data in the cloud.
Building the foundation for Lab of the Future using AWS
Life science industries are transitioning from wet lab environments to digital labs. Digital labs decrease the “time to science” and de-risk R&D portfolios. Customers see computational methods as...
Case Study: BenevolentAI
Running on AWS, BenevolentAI uses its knowledge graph to facilitate new drug discovery.
Case Study: TetraScience
Discover how TetraScience builds on AWS to make life sciences R&D data accessible and actionable for scientists.
Case Study: Benchling
Learn how Benchling’s AWS cloud-native data and workflow management software puts time on scientists’ side.
Case Study: Thermo Fisher
Learn how Thermo Fisher Scientific brings Amazon Alexa into the lab to optimize scientist productivity through hands-free experiences.
Case Study: System1
Explore how System1 Biosciences uses their AWS-enabled platform to support neurotherapeutics modeling and discovery.
Case Study: Bristol-Myers Squibb
Learn how Bristol-Myers Squibb was able to perform intensive clinical trial simulations on AWS with a 98% time savings, which helps them to shorten study time and reduce patient impact.
Case Study: Celgene
Learn how Celgene R&D moved two of its critical HPC workloads to AWS, which resulted in improved collaboration, increased business process agility, improved scalability, and lower total cost of owners