Optimising Data for Rare Diseases: A Digital Twin Project

This analysis explores rare diseases through the lens of digital twin technology, highlighting methodologies such as SVD and UMAP for data optimisation and clustering strategies. It examines applications in human genetics, leveraging single-cell genomics and collaborative research to advance insights. The study emphasises predictive modelling and enhanced disease management as potential benefits of digital twins, summarising key findings and urging future collaboration for optimised outcomes...