HEREDITARY reaches midterm with strong scientific progress and successful review

The European Horizon Europe project HEREDITARY has successfully reached Month 24 of its execution, marking the halfway point of its four-year duration. This milestone confirms the project’s strong progress and consolidates the solid foundations laid during its first two years of activity, with major deliverables completed and progress achieved.

The end of 2025 closed with particularly positive news for the consortium. HEREDITARY successfully passed its first periodic review at Month 18, with all deliverables approved. Both the external reviewers and the Project Officer praised the high quality of the work, the coherence of the technical developments, and the overall advancement of the project in line with its ambitious objectives.

In December, the consortium reached another remarkable achievement: 14 deliverables were submitted in a single day, representing the highest delivery peak foreseen throughout the entire project. These deliverables span all core scientific and technical work packages, covering clinical use cases, federated and privacy-preserving data infrastructures, semantic integration, advanced analytics, visualisation tools, citizen engagement, project management, and exploitation and intellectual property planning. Altogether, they account for more than 400 pages of technical and scientific results, reflecting an extraordinary collective effort by all partners. At the end of the article, you can review the complete list of all the reports submitted. Check them all out in the Deliverables section of our website.

Among the key achievements at this midpoint, there are also two important milestones: the first operational version of the federated workflow execution engine, enabling secure and distributed analysis across institutions, on top of the federated data management infrastructure, and the progress in data FAIRification, strengthening the discoverability and alignment of HEREDITARY data resources with European initiatives and standards. Both can be consulted in Deliverables 3.2 and Deliverable 3.6, respectively.

Reaching Month 24 represents not only a quantitative success in terms of deliverables and milestones, but also a qualitative one. The results produced so far demonstrate that HEREDITARY is effectively advancing towards its vision of building a federated, interoperable and privacy-preserving ecosystem for the integration and analysis of multimodal health data, with a particular focus on neurodegenerative and gut–brain related disorders.

Looking ahead, the consortium enters the second half of the project with a clear roadmap. The coming period will focus on maturing core scientific contributions, integrating results across work packages, and consolidating HEREDITARY into a coherent and impactful ecosystem.

14 Deliverables Submitted at M24 (December 2025)

DeliverableTitleBrief descriptionDissemination level
D1.5Risk Management Plan, 2nd reportUpdated analysis of project risks identified after the second year of implementation, including mitigation and contingency measures.EU Classified
D2.4Linkage and feature extraction from gut–brain, intermediate evaluationIntegrated brain–gut linkage and behavioural phenotyping to extract features for federated learning, including an intermediate evaluation at M24.Public (PU)
D2.22UCD clinical studies documentationRegulatory, ethical and data access documentation required for the UCD-led clinical studies, including approvals and MTAs where applicable.Public (PU)
D3.2Federated workflow execution methods: first releaseFirst release of the federated query execution engine, including intermediate implementations, optimisations, documentation and testing.Public (PU)
D3.6FAIRification of participating data resourcesReport on improvements in FAIRness of HEREDITARY data sources, with emphasis on discoverability and alignment with EU initiatives.Public (PU)
D3.11Pilot of the genomics data science ontology interconversionPilot demonstrator of a clinical ontology conversion tool enabling interoperability with genomic and other biomedical data.Public (PU)
D4.1KDE datasets and methods: first releaseOpen dataset including newly predicted links from the HEREDITARY knowledge graph using several knowledge graph embedding methods.Public (PU)
D4.3Learning models and spatio-temporal harmonizationDesign and first implementation of multimodal learning algorithms, self-supervised methods, and initial harmonisation libraries.Public (PU)
D5.2Demonstrator of visualization components for sequences, networks, text, and high dimensional dataSoftware libraries implementing visualisation components for heterogeneous data types, including sequences, networks and text.Public (PU)
D5.4Prototype of the visualization components for spatial, image, and simulation dataPrototype visualisation libraries addressing spatial data, biomedical images and simulation-based datasets.Public (PU)
D5.7Requirement analysis and user studies: Initial resultsInitial requirements analysis and early evaluation results derived from user studies of WP5 visual analytics tools.Public (PU)
D5.10First evaluation challenge: report on the data, results, and integration with EOSCReport on the first evaluation challenge, including datasets, results, open lab proceedings and integration within EOSC.Public (PU)
D6.7World café outcome: Priorities and gapsSynthesis of stakeholder perspectives collected during the World Café, identifying priorities and gaps relevant to HEREDITARY.Public (PU)
D8.5Mid Term IPR planMid-term Intellectual Property Rights plan outlining preliminary protection and exploitation strategies for project results.Sensitive (SEN)

Check them all in the Deliverables section of the website.

Federated learning for neurodegenerative diseases: HEREDITARY collaborates in joint EU webinar

On Friday, 16th May, HEREDITARY will participate in a joint webinar alongside two other leading EU-funded initiatives — LETHE and BRAINTEASER — to explore how federated learning is shaping the future of neurodegenerative disease research.

The online event, titled Federated Learning for Neurodegenerative Disease Research: A New Path to Risk Reduction and Better Care, will take place from 10:30 to 11:30 CEST. It offers a unique opportunity to learn how cutting-edge machine learning approaches are being applied across collaborative European research efforts, enabling a secure, privacy-preserving data collaboration to improve risk prediction, diagnosis, and patient care in neurodegenerative diseases.

It will begin providing the audience with an introduction to federated learning and then dive into examples of how federated learning is being used in the three projects. There will be a chance at the end of the webinar for the audience to participate and ask our panellists questions.

Hereditary’s participation in the webinar

HEREDITARY will take center stage through a presentation by Umberto Manera, from Università degli Studi di Torino, a researcher partner for both HEREDITARY and BRAINTEASER, who will discuss how federated learning techniques in HEREDITARY can advance AI model developed by BRAINTEASER Project in clinical settings. Check the agenda, speakers and learn more about the projects here.

Join us to discover how federated learning is opening new frontiers in health research and paving the way for more personalized and effective care across Europe. Sign up here.

HEREDITARY Project launches “The UCD Mission of Observa”, a video series about the Anschutz Medical Campus (UCD) research activities

We are delighted to introduce our latest video series, made by our partner Observa in the framework of the HEREDITARY project. Guided by Stephen McNamara, a research instructor at the University of Colorado Anschutz Medical Campus, we delve into the potential of AI for early diagnosis of neurodegenerative diseases and ways of communicating with patients and the public.

Each video offers a closer look at the research group’s objectives, methodology, and layers, helping you to understand the impact of this pioneering work on healthcare and data research.

This video series is part of the HEREDITARY voices series.

Episode 1. Clinical tools for diagnosis

In this first episode, Stephen McNamara explains how they are trying to find ocular biomarkers that are able to connect imaging in the eye to broader systemic diseases, such as Parkinson. By looking at images and scans from the back of the eye, they can ultimately determine whether someone has a neurodegenerative disease now or in a near future. In that way, invasive imaging or testing can be avoided, eliminating the uncertainties surrounding these diagnoses.

Episode 2. The Eye: The mirror of the body

The research group is making diagnoses and establishing connections between the whole body from a detailed analysis of the eye. By doing so, it increases certainty about different diseases, improves predictions and helps patients receive specific therapies and treatments.

Episode 3. Information, AI and Decision Making

Information is key, not only to train models to make better disease predictions, but also to ensure that patients are aware of these new scientific treatments and how it can affect their lives. Transparency becomes increasingly relevant in a world where AI is a new and evolving feature.