Health DAIM

Research areas

Data science, AI and modelling are becoming increasingly important and useful in many areas of healthcare and medicine. Research in this theme spans multiple key areas, including disease diagnosis using ML and DL models on extensive health datasets like the ukbiobank.

We use techniques such as convolutional neural networks, transfer learning, vision transformers for image classification, and generative adversarial networks to address data scarcity by simulating medical images. Additionally, we evaluate and improve the usability of mobile health applications, advancing treatment through drug discovery and repurposing, and optimising healthcare system efficiencies, such as NHS bed management.

Our specialised research also includes the modelling of neuroblastomas to better understand and combat this complex paediatric cancer.