by Luca Remotti | Jul 30, 2025 | Cardiovascular disease, Data Catalogue, Data integration tools, Federated Learning, metadata and semantic descriptions, semantic tooling
NextGen aims to develop tools for advance diagnostics, prediction and personalised medicine for cardiovascular disease, using sensitive data and information located at multiple sites. The sensitive nature of these data requires tools that search for multimodal...
by Luca Remotti | Jul 16, 2025 | ECG, Coronarography, Multimodal Integration Objects, Wearables Data
In the NextGen project, the Multimodal Integration Object (MMIO) is a key innovation that enables the integration of complex health datasets—clinical, imaging, wearable, phenotypic, and genomic—into a single, semantically rich, and interoperable data object,...
by Luca Remotti | Jul 1, 2025 | Variant Prioritisation Acceleration, A prototype of a European Health Data Space in Cardiovascular Disease management, Cardiovascular disease
Genomic sequencing reveals the full DNA sequence of an individual, uncovering millions of genetic variants—small differences in the nucleotide sequence that make each person unique. Among these, some variants occur in genes or regulatory regions and may influence...
by Luca Remotti | Jun 5, 2025 | AI and ML supported genomic data curation, AI/ML Driven Tools Development, Cardiovascular disease, genomic data curation
Genome curation involves a series of steps that integrate genomic data with validated experimental evidence and literature from diverse databases. Effective data curation and quality control are essential to ensure the accuracy, consistency, and reliability of genomic...
by Luca Remotti | May 12, 2025 | genetics, AI and ML supported genomic data curation, genomic data curation
Genomic data curation is a particularly important component of the NextGen toolbox. Data curation is a process to ensure accuracy, consistency, and usability of genomic data by addressing structural and content-related issues – such as missing, invalid, or...