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Cancer AI Alliance (CAIA)
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FEDERATED LEARNING
Cancer AI Alliance (CAIA)
OUR STORY
PEOPLE
PARTNERS
BLOG
NEWS
FEDERATED LEARNING
Folder: ABOUT US
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Folder: CAIA INSIGHTS
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FEDERATED LEARNING

Filter by Topic: All Insights | Inside CAIA |Federated Learning| Data Standardization| CAIA’s Projects

Why the Cancer AI Alliance selected OMOP as its Common Data Model
Data Standardization Brian Bot 7/21/26 Data Standardization Brian Bot 7/21/26

Why the Cancer AI Alliance selected OMOP as its Common Data Model

Learn why CAIA chose OMOP as its Common Data Model (CDM), how and why data was standardized across seven key domains, and CAIA’s plans for standardizing clinical notes across the Alliance.

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How CAIA enables cross-organizational research through collaborative data standardization
Data Standardization, Federated Learning Madhu Narayan 6/11/26 Data Standardization, Federated Learning Madhu Narayan 6/11/26

How CAIA enables cross-organizational research through collaborative data standardization

In this blog post, we’ll take you behind the scenes of this standardization process, exploring the data mapping and cross-institutional coordination required to make multi-site federated learning work.

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A common format for federated learning: CAIA’s approach to data standardization 
Data Standardization, Federated Learning Madhu Narayan 11/12/25 Data Standardization, Federated Learning Madhu Narayan 11/12/25

A common format for federated learning: CAIA’s approach to data standardization 

In this blog post, we take a look at CAIA’s data standardization process, and how we adhere to privacy, regulatory, ethical and legal guidelines.

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