What was the impact of the AI solution?

Multiple large datasets could be processed in parallel and return results in about a day instead of waiting a month or more. The system freed well over half of an administrator FTE's time for developing applications. The labs improved collaboration efficiency and reproducibility for global research partners.

Source

GCP

Stanford CNI and VISTA Lab uses Flywheel on Google Cloud Platform to accelerate healthcare/vision research

Use case typeData platform modernizationUpdated Jun 6, 2026

Stanford Center for Cognitive and Neurobiological Imaging (CNI) and VISTA Lab at Stanford University moved Flywheel to Google Cloud Platform to simplify management of large neuroimaging and vision research datasets, scale compute for parallel processing, and support HIPAA-compliant research workloads. The implementation improved collaboration and reproducibility across global research partners while speeding analysis of large datasets and reducing infrastructure management overhead.

Organization: Stanford Center for Cognitive and Neurobiological Imaging
Industry: Healthcare
Location: United States
Published: June 2026

Reported outcomes

1 day versus month

analysis turnaround timeTime & speed

+50%administrator time freed

Strategic outcomes

Ecosystem & partnershipsImproved global research collaborationOther strategic outcomeAdvanced reproducible scienceScale & capacityScaled research compute for growing datasets

Primary read

Use case focus

Showing 2 of 2

1Data platform modernization
2Research collaboration

Manage and share large, computationally intensive neuroimaging and vision research datasets.
Simplify data management, algorithm execution, and HIPAA-compliant compute for evolving projects.

Moved Flywheel, an analysis and collaboration platform for data-intensive research, to Google Cloud Platform.
Used Google Compute Engine to run and scale Flywheel workloads and support parallel processing.

Technologies

Google Cloud Platform Google Compute Engine

Multiple large datasets could be processed in parallel and return results in about a day instead of waiting a month or more.
The system freed well over half of an administrator FTE's time for developing applications.
The labs improved collaboration efficiency and reproducibility for global research partners.

Architecture

Stanford CNI and VISTA Lab moved Flywheel, a scientific data management and collaboration platform, to Google Cloud Platform to support HIPAA-protected research workloads. The implementation uses Google Compute Engine virtual machines to manage and scale Flywheel for parallel processing of large neuroimaging datasets and to enable collaboration and data sharing with researchers worldwide.

Implementation partners1

Flywheel

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: Jun 6, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

Explore related AI use cases

Customer evidence

Provider evidence

GCP provider page GCP ranked cases

Market context

Healthcare AI use cases Healthcare industry insights United States country insights