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https://www.selleckchem.com/products/vcmmae.html RESULTS We observe that computer-simulated aggregation levels mimic true disease patterns in ALS patients. Simulated patterns of involvement across cortical areas show significant overlap with the patterns of empirically impaired brain regions on later scans, at both group and individual levels. These findings are validated using an external longitudinal dataset of 30 patients. INTERPRETATION Our results are in accordance with established pathological staging systems and may have implications for patient stratification in future clinical trials. Our results demonstrate the utility of computational models in ALS to predict disease progression and underscore their potential as a prognostic biomarker. ANN NEUROL 2020. © 2020 The Authors. Annals of Neurology published by Wiley Periodicals, Inc. on behalf of American Neurological Association.Medical technologies of various kinds play an increasingly important role in medical treatment, but may also increase health inequalities if they are primarily used by high-status patients. While many have problematised inequalities in the material access to medical technologies, differences in use and perception are also salient for explaining the relationship between medical technologies and health inequalities. This article attempts to theorise these inequalities by bringing health inequality research into dialogue with social constructivist perspectives on user-technology relations. Based on qualitative interview data from a case study of the technological self-management of type 1 diabetes, I construct three clusters of technological practices and perceptions corresponding to three broad user types. These user types are then discussed in the context of patient empowerment and the promotion of the active, autonomous and self-reflective 'expert' patient in European health care systems. To the extent that they materialise and enforce institutional expectations which only the most res

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