UKRI AI CDT in Biomedical Innovation

Artificial intelligence has immense potential to tackle the major global health challenges, optimise healthcare systems and improve patient outcomes. It will play a key role in accelerating the selection and evaluation of drug targets, unravelling the complexities of causal gene-phenotype relationships, structuring and analysing vast quantities of unstructured and semi-structured data, and facilitating predictive models from multi-modal data.

The greatest challenge to realising this potential is translation of AI research into real-world use. Our AI Centre for Doctoral Training in Biomedical Innovation (AI4BI CDT) aims to address this challenge by training interdisciplinary researchers who would possess the technical skills, biomedical domain knowledge, and experience developing and implementing innovative AI approaches in the private and public sectors.

Following the success of our predecessor CDT in Biomedical AI, UKRI have awarded us funding to train another five cohorts of twelve students, to be recruited annually in 2024-28. The new CDT programme is grounded in our broad experience in doctoral training, defined in partnership with our external stakeholders, and centred on our research strengths in biomedical artificial intelligence.