UCL rare disease research teams have an ongoing race against time to predict and trace disease path for rare diseases in children from a small cohort of medical images and blood samples.
Zero2AI is engaged to create the framework and AI techniques that take a small set of labelled samples and create a large set of images that is indistinguishable by experts. The larger dataset is then used for downstream AI for disease prediction.
Expected Research Accelaration
300%
Expected Accuracy Outcomes
80%