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Data-driven modelling of neurodegenerative disease progression: thinking outside the black box - Nature Reviews Neuroscience

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Data-driven modelling of neurodegenerative disease progression: thinking outside the black box - Nature Reviews Neuroscience

Data-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.

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Data-driven modelling of neurodegenerative disease progression: thinking outside the black box - Nature Reviews Neuroscience

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Data-driven modelling of neurodegenerative disease progression: thinking outside the black box - Nature Reviews Neuroscience

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