SYNTHEMA | AI-Driven Synthetic Health Data for Haematology

SYNTHEMA and ERN-EuroBloodNet's

joint training program

AI in Hematology: Education & Training / AI in Hematology Academy /Educational Pathway: AI in Hematology

The SYNTHEMA & ERN-EuroBloodNet Educational Program on Artificial Intelligence and its applications in hematology targets both the public-at-large and expert audiences through a dedicated webinar series. The programme aims to increase awareness and understanding of cutting-edge AI approaches in hematology, with a particular focus on synthetic data generation and federated learning methodologies, demonstrated through two clinical use cases: Acute Myeloid Leukemia (AML) and Sickle Cell Anaemia (SCA).

Our Program

The SYNTHEMA & ERN-EuroBloodNet Educational Program on Artificial Intelligence in hematology for the public-at-large provides an overview of SYNTHEMA’s mission and its key applications of Artificial Intelligence in hematological research and care.

The programme introduces core concepts underpinning SYNTHEMA’s approach, including the role of AI in rare hematological diseases, synthetic data generation and federated learning as solutions to data scarcity and fragmentation, and the importance of data standardisation and cross-border interoperability. These topics are illustrated through two clinical use cases—Acute Myeloid Leukemia (AML) and Sickle Cell Anaemia (SCA)—and showcase how AI-driven, privacy-preserving and multi-modal approaches can support disease understanding, diagnosis, and clinical research.

Session 1: SYNTHEMA - Infrastructure for SDG in ERN-EuroBloodNet

Speakers

Federico Alvarez, Matteo Della Porta & Mar Mañú

When?

May 8, 2026
From 12:30 PM to 2:00 PM CET

Description

Introductory session presenting the federated EuroBloodNet infrastructure for synthetic data generation, with a focus on strategic positioning, governance, and technical architecture.

Session 2: Regulatory on Medical Devices, AI Act, Privacy-Preserving and Ethical Considerations

Speakers

Nathan Lea​, Rudolph Mayer

When?

May 15, 2026
From 12:30 PM to 2:00 PM CET

Description

A session structured in two blocks: ​

1. Overview of ethical and regulatory considerations, including MDR and the EU AI Act, and their implications for software, platforms, and data-driven tools in healthcare.​
2. Privacy Preserving in Federating Learning​

Session 3: Data Standardisation, Synthetic Data Generation and Interoperability

Speakers

Sara Reidel, Giulio Spinozzi​, Sofia Tsekeridou, Andoni Beristain​

When?

May 22, 2026
From 12:30 PM to 2:00 PM CET

Description

A technical session structured in three blocks: ​

1.Data standardisation and interoperability (OMOP, data models)​
2.Synthetic data generation and anonymisation methodologies​
3.Building Trust in Synthetic Health Data: Methodological and Acceptance Challenges across Seven European Projects

Session 4: Opportunities of Synthetic Data Generation in Rare Haematological Diseases

Speakers

María del Mar Mañú, Raffaella Colombatti​

When?

May 29, 2026
From 12:30 PM to 2:00 PM CET

Description

Applied session showcasing disease-specific use cases in Sickle Cell Disease (SCD) and Acute Myeloid Leukaemia (AML)​