Over the past few months, HEREDITARY has released a new series of 10 interviews on its YouTube channel, offering an inside look at the ongoing work and structure within the project. Recorded during the HEREDITARY consortium meeting held in Barcelona back in February 2025, this series brings together project partners who share insights into their own expertise and role as Work Packages Leaders, in order to explore and understand the scope of HEREDITARY’s activities.
The series includes seven interviews dedicated to the HEREDITARY Work Packages, in which consortium members explain their objectives, challenges and the main tasks currently under development. In addition, the series features three complementary interviews focusing on some key topics: Self-Supervised Learning, Visualization Techniques, and the European Health Data Space and the AI Act in the European context. Together, these videos provide a broader perspective on the methodological, technological, health-releated and regulatory aspects surrounding HEREDITARY’s research.
Below you can find the full list of interviews included in this series.
WP1 – Project Management
Giorgio Maria Di Nunzio (Università di Padova) explains how WP1 coordinates the HEREDITARY project, overseeing general, technical, ethics & risks, and data management to ensure the project progresses efficiently and ethically.
WP2 – Clinical Use Cases and Federated Networking Infrastructure
Umberto Manera (University of Turin) discusses WP2’s federated learning approach to analyze sensitive medical data and its five use cases covering ALS, Parkinson’s disease, and the gut-brain axis.
WP3 – Multimodal Semantic Integration Platform
Daniele Dell’Aglio (Aalborg University) presents WP3, which enables privacy-preserving data sharing across multiple data owners (such as hospitals and clinics) using knowledge graphs, ontologies, and federated methods to support analytics workflows.
WP4 – Multimodal Analytics & Learning Platform
Henning Müller and Manfredo Atzori (HES-SO Valais) describe WP4’s multimodal platform for integrating heterogeneous biomedical data, using self-supervised learning and spatio-temporal analytics to uncover new relationships.
WP5 – Visual Analytics and Interaction
Tobias Schreck (TU Graz) introduces WP5’s visual analytics platform, which combines machine learning and interactive visualizations to explore complex multimodal datasets and support decision-making.
WP6 – Citizen Science and Public Engagement
Chiara Lovati and Giuseppe Pellegrini (Observa) explain WP6’s Health Social Laboratories, which engage citizens and stakeholders to align research with real-life needs through collaborative dialogue.
WP7 – Legal, Ethical, and Regulatory Frameworks
Elisabetta Biasin (KU Leuven) highlights WP7’s role in ensuring HEREDITARY complies with privacy, data protection, AI, and security regulations throughout the project.
The Science Behind Self-Supervised Learning
Manfredo Atzori (Università di Padova) explains how self-supervised learning models extract patterns from raw multimodal biomedical data, helping identify subgroups and improve prognosis in neurodegenerative diseases.
Visualization Techniques for Multimodal Data
Tobias Schreck (TU Graz) presents HEREDITARY’s visual analytics methods, showing how integrating multiple data types into interactive platforms reveals hidden patterns and supports hypothesis generation.
European Health Data Space (EHDS) and AI Act in the European context
Lotte Cools (KU Leuven) discusses how EHDS and the AI Act shape access to health data and the use of AI in HEREDITARY, ensuring research remains innovative while legally and ethically compliant.
Recent Comments