- Course overview
- Search within this course
- Introduction
- Building AI-ready data foundations for drug discovery and development
- An agentic AI framework for scalable curation of NER dictionaries derived from biomedical ontologies
- Understanding ancestry biases in HLA-related datasets: implications for machine learning predictors and healthcare equity
- AI in plant genomics
- Towards AI–assisted biocuration and FAIR pathogen–host knowledge
- Digital twins of rare diseases
- AI readiness for biological datasets: perspectives from the AIRBDS working group
- Challenges with deploying agentic AI for biomedical data integration and curation
- Summary: future actions and remarks
- Your feedback
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Introduction
With the recent advances in AI, and in specific LLMs, the growth of biomedical data is exploding. Curating this data is a substantial bottleneck. The AIBIO-UK AI Readiness workshop, hosted by EMBL-EBI and funded by AIBIO-UK, brought together AI experts in bioinformatics from both academia and industry, to discuss the state of the art, strengthen collaboration within the AIBIO-UK community and establish future AI readiness community needs. This collection brings together the context and full recordings of all the lectures and discussions from the workshop.
Discover a quick overview of what this collection is all about with Henriette Harmse, Project Leader at EMBL-EBI:
