Data-driven disease progression models are computational tools that infer long-term disease timelines from short-term biomarker data and may provide insights into disease processes. In this Review, Young, Oxtoby et al. provide an overview of such models, with a focus on how they have been used in the context of neurodegenerative diseases, notably Alzheimer disease.
- Alexandra L. Young
- Neil P. Oxtoby
- Daniel C. Alexander
