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DTSTAMP:20260407T180305Z
UID:5689bf17-ccb1-4b1a-a667-c5e2dfa2eaaf
DTSTART:20261004T090000Z
DTEND:20261009T170000Z
DESCRIPTION:This course provides an introduction to causal inference and ca
 usal representation learning\, offering both theoretical foundations and h
 ands-on training. You will learn how to apply these methodologies to vario
 us biomedical data types\, including clinical\, genotype-phenotype\, molec
 ular\, and multimodal data.\n\nCausal 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 treatme
 nt effectiveness\, understanding causal mechanisms\, identifying genetic r
 isk factors\, and uncovering causal relationships in complex molecular dat
 asets. For instance\, they can help answer questions like how effective a 
 treatment is in preventing disease\, whether its effects are direct or med
 iated by intermediate variables\, and which genetic variants causally incr
 ease disease risk and can be targeted by drugs.\n\nGain practical experien
 ce using widely adopted tools and resources to apply causal techniques in 
 real-world biomedical contexts. This EMBO Practical Course will also featu
 re keynote talks that will provide insights into the role of causality in 
 genomic\, molecular\, and computational biology\, highlighting recent adva
 ncements and future directions in the field.\n\nFunded by [EMBO](https://w
 ww.embo.org/) for excellence in the life sciences.   \nThis event has bee
 n granted the following [EMBO sustainability badge](https://www.embo.org/c
 onferences-training/sustainable-conferencing/):\n\n![Grade 2 of 3](https:/
 /www.embl.org/about/info/course-and-conference-office/wp-content/uploads/2
 -embo-leaf_res.png)\n\nGrade 2 of 3
LOCATION:European Bioinformatics Institute\, Hinxton
SUMMARY:Causality in biomedicine: going beyond associations
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/causality-in-biomedicin
 e-2026
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