One of our objectives is to understand the complexities of neurological disorders, and the (often nuanced) differences between them. Our model-based approach is driven by data from cohorts within the consortium, and beyond. For more details on the range of neurological applications we are considering, see the research page.
Another of our objectives is to develop a validation framework for data-driven disease progression models. Model validation includes performance evaluation on well-phenotyped datasets, such as rare diseases with known genetic causes, and simulations. Validation is crucial in order to guide the model development towards providing improved understanding of disease.