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HealthGrid
Distributed AI and edge-computing concepts designed to connect governed workloads, institutions and research infrastructure.
GlobalWellness Labs · Early development
What if medical knowledge could think together?
GlobalWellness.ai is exploring a new model for medical discovery—connecting artificial intelligence, distributed computing, biomedical data and immersive visualization to help researchers ask bigger questions and find answers faster.
Distributed intelligencefor human health
The opportunity
A decade of discovery should not have to take a decade.
We believe one of the greatest tests of artificial intelligence will be whether it can help humanity solve problems once thought unsolvable.
The goal is not to replace scientists. It is to give them capabilities no previous generation possessed—connecting fragmented knowledge, expanding the questions they can ask and making complex discoveries easier to see.
GlobalWellness HealthGrid
From isolated insight to connected discovery.
A concept for governed, distributed intelligence that brings computation closer to the researchers, institutions and data generating it.
HospitalClinical research
UniversityScientific expertise
LaboratoryMolecular data
Open sciencePublic datasets
↓ ↓ ↓ ↓
Distributed intelligence layerGlobalWellness HealthGrid
AI modelsSimulationDiscoveryValidationHuman insight
HealthGrid, at a glance
A network of research environments—not one central repository.
Hospitals, universities, laboratories and open research sources can remain governed where they are while approved models, insights and research workloads move across a connected intelligence layer.
A connected platform vision
Four layers. One purpose.
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Discovery
AI-assisted workflows for finding patterns across complex biomedical research, scientific literature and appropriately available datasets.
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Data Commons
Public, licensed and eventually federated data approaches that respect institutional control while expanding collective learning.
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Immersive
Volumetric visualization, digital twins and spatial collaboration that help humans understand what intelligent systems discover.
Intelligence where discovery happens
Researchers are the nodes.
The visual language of HealthGrid is not rows of anonymous servers. It is clinicians, laboratories and research teams using computation close to their work—then sharing approved models, results and learned patterns across a governed network.
Conceptual imagery illustrating AI-assisted research, local computation and immersive scientific collaboration.
Project Zero · Our first moonshot
Could AI help cure childhood cancer?
Childhood cancers are rare, biologically complex and constrained by fragmented data and small research populations. We are exploring how connected intelligence could help researchers learn from more data, model disease more deeply and accelerate the path from question to validated discovery.
The science is already moving
This is not science fiction.
GlobalWellness.ai is exploring a direction already visible in serious biomedical research: AI-assisted diagnostics, connected childhood-cancer data and privacy-preserving distributed approaches.
AI is helping classify childhood brain tumors.
St. Jude and international collaborators developed M-PACT, an AI-powered approach that classifies pediatric brain tumors using small amounts of circulating tumor DNA.
Read the St. Jude announcement →Connecting childhood-cancer data can accelerate discovery.
NCI’s Childhood Cancer Data Initiative is designed to overcome fragmented information and allow researchers to learn at a scale no single institution can achieve alone.
Explore the CCDI →Privacy-preserving, distributed AI is an active research direction.
NCI’s 2026 CCDI research-opportunity materials explicitly identify privacy-preserving and distributed AI approaches among areas of interest.
View the NCI research materials →Human understanding
AI discovers patterns.
Immersive computing helps humans understand them.
Join the exploration
Big problems need connected minds.
We welcome conversations with researchers, hospitals, universities, AI companies and infrastructure partners who are thinking beyond the boundaries of a single system.
HospitalsUniversitiesResearchersAI companiesInfrastructure providers
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