Stratifying vascular disease patients into homogeneous subgroups using machine learning and FLAIR MRI biomarkers
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s44303-024-00063-x.pdf
Reference42 articles.
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2. The Burden of Cerebrovascular Disease in the United States. Accessed May 11, 2024. https://www.cdc.gov/pcd/issues/2019/18_0411.htm
3. Trofimova, O. et al. Topography of associations between cardiovascular risk factors and myelin loss in the ageing human brain. Commun. Biol. 6, 1–14, https://doi.org/10.1038/s42003-023-04741-1 (2023).
4. Bonberg, N., Wulms, N., Dehghan-Nayyeri, M., Berger, K. & Minnerup, H. Sex-Specific Causes and Consequences of White Matter Damage in a Middle-Aged Cohort. Front. Aging Neurosci. 14, 810296 (2022). Accessed January 29, 2024. https://www.frontiersin.org/articles/10.3389/fnagi.2022.810296.
5. Farnsworth von Cederwald, B., Josefsson, M., Wåhlin, A., Nyberg, L. & Karalija, N. Association of Cardiovascular Risk Trajectory With Cognitive Decline and Incident Dementia. Neurology 98, e2013–e2022, https://doi.org/10.1212/WNL.0000000000200255 (2022).
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