Using AI to Power Chronic Diseases Prediction


Alejandro Clarós (See Profile)


Jordi Muria (See Profile)


Predictive medicine


Development, market readiness, clinical trial



Medical datasets containing 8+ million of patient records. Expecting to have 25M by the end of 2023

Using cutting-edge AI and Federated Learning to create more accurate prediction models for any population

Explainable AI to ensure clinical relevance of predictions and medical validation

This information is confidential, do not share or copy.

Other files:

Non-confidential biomarkers approach

Under evaluation at least till: 30th of May 2023

If you want to have more information or you want to review the project, you have to login or register

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