GW-FEAST: Difference between revisions

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Created page with "GW-FEAST Project The GW Federated Ecosystems for Analytics and Standardized Technologies (GW-FEAST) project is part of the ARPA-H FEAST performer team initiative that includes academic and industry partners. The goal of the ARPA-H performer teams is “to create bridges across data silos to make health data more accessible and usable”. ARPA-H FEAST offers two major innovations for digital healthcare ecosystems addressing current challenges. 1) Agnostic federation ac..."
 
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GW-FEAST Project
The GW Federated Ecosystems for Analytics and Standardized Technologies (GW-FEAST) project is part of the ARPA-H FEAST performer team initiative that includes academic and industry partners. The goal of the ARPA-H performer teams is “to create bridges across data silos to make health data more accessible and usable”.
The GW Federated Ecosystems for Analytics and Standardized Technologies (GW-FEAST) project is part of the ARPA-H FEAST performer team initiative that includes academic and industry partners. The goal of the ARPA-H performer teams is “to create bridges across data silos to make health data more accessible and usable”.



Latest revision as of 16:55, 22 November 2024

The GW Federated Ecosystems for Analytics and Standardized Technologies (GW-FEAST) project is part of the ARPA-H FEAST performer team initiative that includes academic and industry partners. The goal of the ARPA-H performer teams is “to create bridges across data silos to make health data more accessible and usable”.

ARPA-H FEAST offers two major innovations for digital healthcare ecosystems addressing current challenges.

1) Agnostic federation across multiple data sources allows DNA HIVE to move computations to data instead of moving data to computation; this avoids violation of regulations for data export while using all data.

2) Agnostic harmonization through self-standardizing protocols enables computers to handshake and find appropriate standard transformations as per need without prior need for expensive standardization efforts at sites.