Training Course: Federated Learning in Bioinformatics

Training Course: Federated Learning in Bioinformatics

by Luca Remotti | Mar 23, 2026 | Uncategorized

Overview In recent years, there has been increasing concern about the risks associated with data usage, particularly regarding data sharing. This has led to the introduction of regulations which impose stricter rules on data management. These regulations significantly...
Federated Learning Logic and Architecture

Federated Learning Logic and Architecture

by Luca Remotti | Feb 24, 2026 | Uncategorized, Federated Learning; Genomic Data; Cardiovascular Disease; Privacy-Enhancing Technologies; GWAS; Synthetic Data; Secure Aggregation

Federated learning in NextGen is adopted as a practical operating model for collaboration: multiple clinical and research sites can contribute to shared analyses on Genetics and Cardiovascular Disease while keeping data under their local governance. In the activities...
Federated genomics: data stays local, insight travels far and wide

Federated genomics: data stays local, insight travels far and wide

by Luca Remotti | Feb 18, 2026 | Uncategorized, Federated Genomics, Genetic Data Protection, Privacy-reserving analytics

Federated genomics is a distributed approach for managing and analysing human genomic data without consolidating it in a single location. Large-scale discovery needs cohorts spanning institutions and countries, yet genomes and linked clinical data are sensitive,...
We’re Hiring! Join Our UMC Utrecht Team in Cardiovascular Genetics

We’re Hiring! Join Our UMC Utrecht Team in Cardiovascular Genetics

by Luca Remotti | Dec 4, 2024 | Uncategorized

Are you passionate about unlocking the complexities of genetics? Do you want to contribute to the NextGen project, where we are developing innovative and synergistic tools for portable multimodal, multiomic, and clinically oriented research in high-impact areas...

Recent Posts

  • Training Course: Federated Learning in Bioinformatics
  • Federated Learning Logic and Architecture
  • Federated genomics: data stays local, insight travels far and wide
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