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Machine learning on sensitive data
Real-world data with machine learning Machine learning (ML) has become widely used in all sectors of industry and academia. Succinctly, ML consists of a set of tools for solving computationally ill-posed problems in Statistics and Probability, particularly those arising in statistical inference. With the term “learning” it is meant that statistical associations between a set…
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Real4Reg WP1: Using Real-World Data to Improve Research on Breast Cancer and ALS
Real4Reg is working to improve how real-world health data (RWD) is used in decisions about medicines and medical technologies across Europe. The project focuses on developing and applying artificial intelligence (AI) to make data analysis more effective and reliable throughout the entire product lifecycle. The results will help shape training and good practice guidelines for…
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Real4Reg Consortium Holds X Consortium Meeting in Lisbon
The Real4Reg European consortium held its annual in-person meeting on May 21–22, 2025, in Lisbon, in a hybrid format. The event brought together international experts, clinical specialists, and representatives from partner institutions to discuss recent developments and preliminary results of the project. A highlight of the meeting was an invited talk by Prof. Mads Nielsen…