4 – 9 October 2026. Fee: from £450.00. Financial assistance and bursaries are available.

New! EMBO Practical Course | Causality in biomedicine from EMBL-EBI Training provides an introduction to causal inference and causal representation learning, offering both theoretical foundations and hands-on training. You will learn how to apply these methodologies to various biomedical data types, including clinical, genotype-phenotype, molecular, and multimodal data.

Causal inference and causal representation learning are emerging fields in AI and biomedical data science, enabling a shift from associational to cause-and-effect reasoning. These approaches have significant applications in biomedicine, such as evaluating treatment effectiveness, understanding causal mechanisms, identifying genetic risk factors, and uncovering causal relationships in complex molecular datasets. For instance, they can help answer questions like how effective a treatment is in preventing disease, whether its effects are direct or mediated by intermediate variables, and which genetic variants causally increase disease risk and can be targeted by drugs.

Gain practical experience using widely adopted tools and resources to apply causal techniques in real-world biomedical contexts. This EMBO Practical Course will also feature keynote talks that will provide insights into the role of causality in genomic, molecular, and computational biology, highlighting recent advancements and future directions in the field.

Funded by EMBO for excellence in the life sciences. Applications close 21 June 2026