1st Scientific Workshop: How Data Science and AI Transform Research and Care in Haematology

1st Scientific Workshop: How Data Science and AI Transform Research and Care in Haematology is organized by European School of Haematology (ESH) and will be held from Sep 17 - 19, 2026 at The Grand Hotel Malahide, Dublin, Leinster, Ireland.

Description:
This Scientific ESH Workshop covers developments in data science/AI and how these will be instrumental to the future care and research in clinical and translational Haematology. The workshop will serve doctors and scientist in training to understand how data science will strengthen the work and research of clinician and researchers alike. The workshop is also intended to develop a community of data scientists and clinicians/researchers with a haematology focus.

This workshop offers highest-level science on the interface of data analysis, bioinformatics and AI with haematology and blood cancer research. It also aims to provide an opportunity where researchers and clinicians can bring projects on haematological cancers and discuss how tools in data science can help solve important questions with the speakers, peers and chairs. We aim to promote scientific interaction between participants from all over the world, involving junior and senior data scientist, biologists and clinicians working in both the academic and industrial settings.

Main Scientific Topics:

• The role of AI in haematology
• Modern statistics and AI methods in haematology
• Big data integration, networking and federation
• Big data and AI for improved diagnosis and prognostication in haematology
• Big data and synthetic data
• AI in haematology: successes, setbacks, and the path to standardization
• Infrastructure, security and collaboration in the age of digital haematology

Learning Objectives:

• Understanding the use of data science in Clinical Haematology
• Understanding the use of data science in Haematology Research
• Discuss cutting edge examples of data science applications in e.g. AML and CLL
• Understand how AI can improve diagnostics