Neil P. Oxtoby

Jan 8, 2024 | nature.com | Alexandra Young |Neil P. Oxtoby |Sara Garbarino |Frederik Barkhof

AbstractData-driven disease progression models are an emerging set of computational tools that reconstruct disease timelines for long-term chronic diseases, providing unique insights into disease processes and their underlying mechanisms. Such methods combine a priori human knowledge and assumptions with large-scale data processing and parameter estimation to infer long-term disease trajectories from short-term data.