Project Goal

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This project aims to address critical gaps in data analysis and predictive modeling by employing advanced mathematical models and machine learning techniques for healthcare applications. A key objective is to develop a predictive engine based on these methodologies, ensuring higher accuracy and reliability in forecasting and trend analysis. The approach integrates cutting-edge optimization strategies to improve efficiency and effectiveness in complex systems. CERN will contribute its expertise in Digital Twin technology and advanced methodologies developed in the context of high-energy physics experiments.

In partnership with: Johnson & Johnson

This project started in January 2025