EMPOWERING HEALTHCARE INNOVATION THROUGH
DATA EXCELLENCE

About Us

ELADAIS is a funded initiative by the Ministry of Economic Affairs and Digital Transformation within the UNICO I+D CLOUD programme. It seeks to provide a sustainable, decentralised healthcare data preparation, interoperability, enrichment, and exploitation infrastructure. The platform supports AI, ML, and classical analytical methodologies and complies with data protection laws. Dashboards will be easy for internal and external people to use.

our objectives

A sustainable operational service platform

A federated data model

Results Validation

Create a long-term operational service platform that incorporates data governance and accessibility standards in accordance with data protection regulations. This platform should operate through a robust and decentralised technical infrastructure, enabling remote queries for local analysis.

Create an analytical services platform tailored for federated analysis with the flexibility to adapt traditional methods to AI/ML models. Additionally, ensure that user-friendly dashboards are in place for both internal and external use.

To provide evidence, create a use case that validates the results and documents the scope and utilization of the operational and analytical platform.

our pillars

Propel innovation in the healthcare sector by leveraging global research and development in data relevant to biomedical technology and collaborate with key public and private stakeholders to ensure collective success in advancing healthcare solutions.

A sustainable operational service platform

A federated data model

Results Validation

How are we going to achieve it?

Development of platform components by the Biomedical Technology Centre team at UPM.

Define, design, construct, test, install, and deploy a platform that progressively incorporates new services and use cases in the provision of healthcare services and medical research.

Implement a data visualisation platform using cloud computing technologies for studying relationships between diseases to support drug repurposing research.