Research and drug development

Google Cloud can help you modernize your R&D, enabling your researchers to more easily access and analyze their data to advance scientific discovery.

Biomedical computing

Genomic data processing on Google Cloud offers a cost-effective and scalable alternative to on-premises solutions, enabling organizations to perform secondary analysis on sequenced genomes efficiently and at scale.

Broad institute replaced inhouse analysis with google cloud
Broad Institute replaced its in-house genome sequence analysis with Google Cloud, delivering greater speed, scalability, and data security.

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Story highlights

  • 400% faster analysis of human genomes

  • Analyzed 12 terabytes of data/day (one genome/12 minutes)

  • Scaled automatically to process samples on tight deadlines

Unlock the value of R&D data

Google Cloud can help you modernize your R&D infrastructure and leverage analytics capabilities and AI to identify the most promising biological targets and drug opportunities.

Recursion pharmaceuticals is creating an ai
Recursion Pharmaceuticals is creating an AI-enabled human biology map to accelerate the discovery of treatments for rare untreated diseases.

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  • Switched from Amazon cloud storage to Google Cloud

  • Google Cloud accelerated cellular microscopy image processing

  • Reduced deep-learning model training from hours to minutes

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Solution
Data warehouse modernization

Seamlessly modernize your cloud-native and on-premises traditional data warehouses with BigQuery, Google Cloud's serverless, highly scalable, low-cost enterprise data warehouse.

Accelerate drug discovery

Life sciences organizations can analyze and process massive amounts of data to generate more promising drug targets and advance scientific research with Google Cloud high performance computing.

Story highlights

  • Narrowed down 680 million compounds to the 120 most promising ones

  • Google Cloud VMs reduced project time from a year to 24 hrs compared to USC lab computers

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Solution
High performance computing

Solving for faster and more cost-effective drug discovery through Google Cloud high performance computing.

Cloud migration

Migrating to the cloud with Google Cloud VM migration offers life sciences organizations a more scalable and secure data storage solution, whether you're looking to lift and shift or to upgrade your systems.

Story highlights

  • Achieved 85% accuracy at predicting sepsis four to six hours before onset

  • Created an AI engine to analyze 65 relevant sepsis variables

  • Converted their sepsis prediction algorithm into an app running on App Engine

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Solution
VM migration

VM migration offers a fast, less complex entry to the cloud for research organizations. Leverage the VMs you already have and migrate them as is or modernize them to accelerate scientific discovery.